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SRE Observability Technical Lead - Vice President
Citibank (Switzerland) AG City, Belfast
SRE Observability Technical Lead - Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted 8 Days Agojob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech . The SRE Observability Specialist is a hands-on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business.The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritising observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment monitoring like Building an End-to-End payments Dashboard, Toil Reduction, Transformation of legacy monitoring into observability based monitoring solution, requires good understanding of different Payments Taxonomy (ACH, Wires, Instant Payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities: Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate Organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering function, delivering incremental, high-value milestones. Understand Critical Business Services functional scope and translate into End-to-End monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyze application monitoring TOIL and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualizations for critical client journeys, including real-time flows across Payments. Guide line-of-business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on-prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes). Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line-of-business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack. Qualifications: Experience in SRE, Observability Engineering, or platform infrastructure roles focused on operational telemetry. Hands-on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, Error Budgets, and telemetry best practices in high-availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on-prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
28/07/2026
Full time
SRE Observability Technical Lead - Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted 8 Days Agojob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech . The SRE Observability Specialist is a hands-on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business.The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritising observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment monitoring like Building an End-to-End payments Dashboard, Toil Reduction, Transformation of legacy monitoring into observability based monitoring solution, requires good understanding of different Payments Taxonomy (ACH, Wires, Instant Payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities: Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate Organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering function, delivering incremental, high-value milestones. Understand Critical Business Services functional scope and translate into End-to-End monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyze application monitoring TOIL and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualizations for critical client journeys, including real-time flows across Payments. Guide line-of-business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on-prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes). Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line-of-business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack. Qualifications: Experience in SRE, Observability Engineering, or platform infrastructure roles focused on operational telemetry. Hands-on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, Error Budgets, and telemetry best practices in high-availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on-prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Proactive Appointments
Software Engineer - AI & Business Solutions
Proactive Appointments Reading, Berkshire
Software Engineer - AI & Business Solutions Salary: £40,000-£60,000 + Bonus + Benefits Location: UK Remote or Hybrid Type: Permanent The Opportunity Our client is seeking a Software Engineer to join a growing technology team focused on solving business challenges through software, automation and AI. This is a highly varied role combining hands-on engineering with business engagement. Approximately 60% of your time will focus on designing, building and delivering software solutions, with the remaining 40% spent working directly with stakeholders across finance, operations and other business functions to understand challenges and identify opportunities for improvement. You'll take ownership of problems from discovery through to delivery, running workshops, gathering requirements and developing practical technology solutions that create measurable business impact. Working in small, autonomous teams, you could be developing an internal application one day and collaborating with senior stakeholders to redesign a process or explore AI-driven automation opportunities the next. The role is fully remote or hybrid depending on preference, with occasional travel to UK offices for workshops and collaboration. Key Responsibilities Software Engineering & Delivery (60%) Design, develop and deploy scalable software, integrations and automation solutions. Build systems that improve efficiency, accuracy and user experience. Leverage AI technologies and AI-assisted development tools to accelerate delivery. Own projects across the full software development life cycle. Contribute to engineering standards, tooling and best practices. Business Engagement & Consulting (40%) Work with stakeholders to understand challenges and identify opportunities. Facilitate discovery sessions, workshops and requirements gathering. Analyse processes and recommend improvements using software, automation and AI. Translate business needs into scalable technical solutions. Build trusted relationships and measure the impact of delivered solutions. About You You're an experienced software engineer who enjoys solving business problems as much as writing code. You're comfortable engaging with both technical and non-technical audiences, working in ambiguous environments and turning conversations into effective solutions. You're curious about AI, automation and emerging technologies and excited by the opportunity to influence how technology is adopted across an organisation. Essential Skills & Experience 3+ years' professional software engineering experience. Strong programming skills in Python, JavaScript/TypeScript, Java, C++ or similar. Experience building and deploying production-grade software. Practical use of AI tools and technologies to improve productivity or deliver solutions. Ability to identify opportunities for AI and automation within business processes. Strong stakeholder management, communication and problem-solving skills. Experience working across the full software development life cycle. Ability to work independently with a high degree of ownership. Willingness to travel occasionally to UK offices. Desirable Experience Experience working with finance, operations or other business-facing teams. Delivery of automation, transformation or process improvement initiatives. Exposure to systems integration, data engineering, Business Intelligence or cloud platforms. Consulting, business analysis or solution design experience. Personal projects, open-source contributions or experimentation with AI. What's On Offer £40,000-£60,000 salary depending on experience. Discretionary bonus scheme. Remote or hybrid working options. Pension, life assurance and wellbeing benefits. Ongoing professional development. High levels of autonomy and ownership. Direct exposure to senior stakeholders. The opportunity to shape the organisation's adoption of AI and emerging technologies. Interested? If you're a software engineer who enjoys combining technology, AI and business problem-solving to deliver meaningful change, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
28/07/2026
Full time
Software Engineer - AI & Business Solutions Salary: £40,000-£60,000 + Bonus + Benefits Location: UK Remote or Hybrid Type: Permanent The Opportunity Our client is seeking a Software Engineer to join a growing technology team focused on solving business challenges through software, automation and AI. This is a highly varied role combining hands-on engineering with business engagement. Approximately 60% of your time will focus on designing, building and delivering software solutions, with the remaining 40% spent working directly with stakeholders across finance, operations and other business functions to understand challenges and identify opportunities for improvement. You'll take ownership of problems from discovery through to delivery, running workshops, gathering requirements and developing practical technology solutions that create measurable business impact. Working in small, autonomous teams, you could be developing an internal application one day and collaborating with senior stakeholders to redesign a process or explore AI-driven automation opportunities the next. The role is fully remote or hybrid depending on preference, with occasional travel to UK offices for workshops and collaboration. Key Responsibilities Software Engineering & Delivery (60%) Design, develop and deploy scalable software, integrations and automation solutions. Build systems that improve efficiency, accuracy and user experience. Leverage AI technologies and AI-assisted development tools to accelerate delivery. Own projects across the full software development life cycle. Contribute to engineering standards, tooling and best practices. Business Engagement & Consulting (40%) Work with stakeholders to understand challenges and identify opportunities. Facilitate discovery sessions, workshops and requirements gathering. Analyse processes and recommend improvements using software, automation and AI. Translate business needs into scalable technical solutions. Build trusted relationships and measure the impact of delivered solutions. About You You're an experienced software engineer who enjoys solving business problems as much as writing code. You're comfortable engaging with both technical and non-technical audiences, working in ambiguous environments and turning conversations into effective solutions. You're curious about AI, automation and emerging technologies and excited by the opportunity to influence how technology is adopted across an organisation. Essential Skills & Experience 3+ years' professional software engineering experience. Strong programming skills in Python, JavaScript/TypeScript, Java, C++ or similar. Experience building and deploying production-grade software. Practical use of AI tools and technologies to improve productivity or deliver solutions. Ability to identify opportunities for AI and automation within business processes. Strong stakeholder management, communication and problem-solving skills. Experience working across the full software development life cycle. Ability to work independently with a high degree of ownership. Willingness to travel occasionally to UK offices. Desirable Experience Experience working with finance, operations or other business-facing teams. Delivery of automation, transformation or process improvement initiatives. Exposure to systems integration, data engineering, Business Intelligence or cloud platforms. Consulting, business analysis or solution design experience. Personal projects, open-source contributions or experimentation with AI. What's On Offer £40,000-£60,000 salary depending on experience. Discretionary bonus scheme. Remote or hybrid working options. Pension, life assurance and wellbeing benefits. Ongoing professional development. High levels of autonomy and ownership. Direct exposure to senior stakeholders. The opportunity to shape the organisation's adoption of AI and emerging technologies. Interested? If you're a software engineer who enjoys combining technology, AI and business problem-solving to deliver meaningful change, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
83zero Ltd
AI Security Software Engineer (GenAI & LLM Security)
83zero Ltd City, London
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to £90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development life cycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to £90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
27/07/2026
Full time
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to £90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development life cycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to £90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
Rise Technical Recruitment
Junior Data Engineer
Rise Technical Recruitment
Junior Data Engineer London (Hybrid, 2 days per week in-office) 35,000 - 50,000 + Holiday + Hybrid Working + Technical Development Are you a technically minded graduate or early-career engineer looking to develop your skills across software engineering, data, cloud infrastructure and live sports technology while working with real-world systems and datasets that directly support professional sports environments? This is an exciting opportunity to join a growing technology-focused organisation operating within the sports and betting sector. You will gain hands-on experience across software development, data processing, cloud platforms and production systems, working with modern technologies including Python, Go, TypeScript, AWS, SQL and Docker. In this varied role, you will help develop and maintain software applications, process and validate sports data, support cloud-based infrastructure and investigate technical issues across live environments. You will work closely with experienced engineers and contribute to both day-to-day operations and longer-term technical projects. The ideal candidate will hold a degree in a technical or numerate discipline and have a solid understanding of programming fundamentals, databases and software systems. This role would suit someone who enjoys problem solving, learning new technologies and understanding how complete systems operate in production environments. The Role: Develop, test and maintain software using Python, Go and TypeScript Process, analyse and validate live and historical sports datasets Support cloud infrastructure, applications and production systems Write SQL queries and work with relational databases Troubleshoot software, data and infrastructure-related issues Contribute to technical projects, documentation and system improvements The Person: Degree qualified in Computer Science, Mathematics, Engineering, Data Science or similar Understanding of programming principles and software development Experience with at least one programming language Knowledge of SQL and relational databases Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
27/07/2026
Full time
Junior Data Engineer London (Hybrid, 2 days per week in-office) 35,000 - 50,000 + Holiday + Hybrid Working + Technical Development Are you a technically minded graduate or early-career engineer looking to develop your skills across software engineering, data, cloud infrastructure and live sports technology while working with real-world systems and datasets that directly support professional sports environments? This is an exciting opportunity to join a growing technology-focused organisation operating within the sports and betting sector. You will gain hands-on experience across software development, data processing, cloud platforms and production systems, working with modern technologies including Python, Go, TypeScript, AWS, SQL and Docker. In this varied role, you will help develop and maintain software applications, process and validate sports data, support cloud-based infrastructure and investigate technical issues across live environments. You will work closely with experienced engineers and contribute to both day-to-day operations and longer-term technical projects. The ideal candidate will hold a degree in a technical or numerate discipline and have a solid understanding of programming fundamentals, databases and software systems. This role would suit someone who enjoys problem solving, learning new technologies and understanding how complete systems operate in production environments. The Role: Develop, test and maintain software using Python, Go and TypeScript Process, analyse and validate live and historical sports datasets Support cloud infrastructure, applications and production systems Write SQL queries and work with relational databases Troubleshoot software, data and infrastructure-related issues Contribute to technical projects, documentation and system improvements The Person: Degree qualified in Computer Science, Mathematics, Engineering, Data Science or similar Understanding of programming principles and software development Experience with at least one programming language Knowledge of SQL and relational databases Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
83zero Ltd
AI Security Software Engineer (GenAI & LLM Security)
83zero Ltd City, London
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
27/07/2026
Full time
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
Senior Cloud Engineer
United States Digital Space LLC Crawley, Sussex
the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
27/07/2026
Full time
the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
C# Developer
0802 Security Monitoring Cntrs
We're looking to add a C# Developer to our team here at Mentor, on a hybrid basis, working out of our Huddersfield office. The successful candidate will work closely with cross-functional teams to deliver scalable, reliable, and efficient solutions using Microsoft technologies. This role requires strong problem-solving skills, attention to detail, and a commitment to writing clean, maintainable code. Since 1983, Mentor Business Systems has built an enviable reputation for designing and distributing innovative, secure and scalable business management systems. Through our market-leading technology, we deliver comprehensive and nimble software solutions that solve problems for field service organisations. As part of the global API Group, we join a family of organisations including Chubb Fire & Security. Leadership, and leadership development as our most powerful strategic advantage and the best way to invest in our people. SALARY: Upto £45K DoE 25 days holiday + holiday purchase scheme Quarterly Bonus Free Onsite Parking Cycle to Work Scheme Employee Referral Scheme (£1000) Company Pension Scheme Life Assurance (4 x Basic Salary) Employee Scholarship Scheme A Central Benefits Platform offering a wide variety discounts Health & Wellbeing Resources Bravo Awards: Recognising outstanding contributions from all employees and encourage excellence Key Responsibilities Design, develop, and maintain applications using C# and the .NET framework/.NET Core. Write clean, efficient, and well-documented code following industry best practices. Collaborate with business analysts, designers, and other developers to understand requirements and deliver technical solutions. Develop and integrate RESTful APIs and third-party services. Troubleshoot, debug, and resolve software defects and performance issues. Create and execute unit and integration tests to ensure software quality. Participate in code reviews and contribute to continuous improvement of development standards. Maintain and optimise SQL Server databases, including writing queries, stored procedures, and performance tuning. Support deployment activities and monitor applications in production. Stay up to date with emerging technologies and recommend improvements to existing systems. Required Skills and Experience Strong experience developing applications using C# and .NET/.NET Core. Solid understanding of object-oriented programming (OOP) principles and design patterns. Experience with Microsoft SQL Server and database development. Knowledge of REST APIs, JSON, and web services. Experience with Git or other version control systems. Familiarity with Agile/Scrum development methodologies. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Desirable Skills Experience with ASP.NET MVC, ASP.NET Core, or Blazor. Knowledge of Entity Framework or Entity Framework Core. Experience with Azure cloud services. Familiarity with Docker, Kubernetes, or CI/CD pipelines. Experience with JavaScript frameworks such as Angular or React. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent commercial experience. Relevant Microsoft certifications are advantageous but not essential. Key Competencies Strong attention to detail. Ability to work independently and as part of a team. Effective time management and organisational skills. Commitment to continuous learning and professional development. Ability to manage multiple priorities and deliver work to agreed deadlines. Additional Information About Us, Our Culture & What We Can Offer You Since 1983, Mentor Business Systems has built an enviable reputation for designing and distributing innovative, secure and scalable business management systems. Through our market-leading technology, we deliver comprehensive and nimble software solutions that solve problems for field service organisations. As part of the global API Group, we join a family of organisations including Chubb Fire & Security where leadership and leadership development is our most powerful strategic advantage and the best way to invest in our people. When you join Chubb, you join a business that has been providing fire safety and security solutions and services for more than 200 years. This heritage inspires us to be innovative; we've become experts at adapting to new technologies and now work for organisations of all sizes and sectors around the world. We do this without ever losing our human touch. Our localised, personal service is delivered through an expansive global network that includes 12,000+ experts, each one focused on protecting, securing and optimising facilities and operations.
27/07/2026
Full time
We're looking to add a C# Developer to our team here at Mentor, on a hybrid basis, working out of our Huddersfield office. The successful candidate will work closely with cross-functional teams to deliver scalable, reliable, and efficient solutions using Microsoft technologies. This role requires strong problem-solving skills, attention to detail, and a commitment to writing clean, maintainable code. Since 1983, Mentor Business Systems has built an enviable reputation for designing and distributing innovative, secure and scalable business management systems. Through our market-leading technology, we deliver comprehensive and nimble software solutions that solve problems for field service organisations. As part of the global API Group, we join a family of organisations including Chubb Fire & Security. Leadership, and leadership development as our most powerful strategic advantage and the best way to invest in our people. SALARY: Upto £45K DoE 25 days holiday + holiday purchase scheme Quarterly Bonus Free Onsite Parking Cycle to Work Scheme Employee Referral Scheme (£1000) Company Pension Scheme Life Assurance (4 x Basic Salary) Employee Scholarship Scheme A Central Benefits Platform offering a wide variety discounts Health & Wellbeing Resources Bravo Awards: Recognising outstanding contributions from all employees and encourage excellence Key Responsibilities Design, develop, and maintain applications using C# and the .NET framework/.NET Core. Write clean, efficient, and well-documented code following industry best practices. Collaborate with business analysts, designers, and other developers to understand requirements and deliver technical solutions. Develop and integrate RESTful APIs and third-party services. Troubleshoot, debug, and resolve software defects and performance issues. Create and execute unit and integration tests to ensure software quality. Participate in code reviews and contribute to continuous improvement of development standards. Maintain and optimise SQL Server databases, including writing queries, stored procedures, and performance tuning. Support deployment activities and monitor applications in production. Stay up to date with emerging technologies and recommend improvements to existing systems. Required Skills and Experience Strong experience developing applications using C# and .NET/.NET Core. Solid understanding of object-oriented programming (OOP) principles and design patterns. Experience with Microsoft SQL Server and database development. Knowledge of REST APIs, JSON, and web services. Experience with Git or other version control systems. Familiarity with Agile/Scrum development methodologies. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Desirable Skills Experience with ASP.NET MVC, ASP.NET Core, or Blazor. Knowledge of Entity Framework or Entity Framework Core. Experience with Azure cloud services. Familiarity with Docker, Kubernetes, or CI/CD pipelines. Experience with JavaScript frameworks such as Angular or React. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent commercial experience. Relevant Microsoft certifications are advantageous but not essential. Key Competencies Strong attention to detail. Ability to work independently and as part of a team. Effective time management and organisational skills. Commitment to continuous learning and professional development. Ability to manage multiple priorities and deliver work to agreed deadlines. Additional Information About Us, Our Culture & What We Can Offer You Since 1983, Mentor Business Systems has built an enviable reputation for designing and distributing innovative, secure and scalable business management systems. Through our market-leading technology, we deliver comprehensive and nimble software solutions that solve problems for field service organisations. As part of the global API Group, we join a family of organisations including Chubb Fire & Security where leadership and leadership development is our most powerful strategic advantage and the best way to invest in our people. When you join Chubb, you join a business that has been providing fire safety and security solutions and services for more than 200 years. This heritage inspires us to be innovative; we've become experts at adapting to new technologies and now work for organisations of all sizes and sectors around the world. We do this without ever losing our human touch. Our localised, personal service is delivered through an expansive global network that includes 12,000+ experts, each one focused on protecting, securing and optimising facilities and operations.
Media Engineer
慨正橡扯 Winchester, Hampshire
Engineer - Audio & Video Processing - 12 months FTC Location:Crawley Court (Winchester), Emley Moor (Huddersfield), Newman Street Chalfont -London We operate a flexible, hybrid working environment - requirement to travel to either our Winchester or London office up to twice a week Total Package 12 months FTC Up to £54,000 base salary Generous pension scheme starting at 6% rising to 10% 25 days annual leave Private Medical A unique wellbeing programme that looks after the whole you Access to multiple learning platforms to support your individual development Active and diverse networks that build community, support wellbeing and advocate for change A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here. Purpose - 12 months FTC Responsible for the design, development, implementation, operation, and troubleshooting of cloud-based and traditional Media platforms, with a particular focus on VOD, Cloud Playout, workflow automation, metadata-driven services, and AWS-hosted media solutions. The role is accountable for supporting, configuring, and optimising media workflows across production and non-production environments, ensuring reliable content delivery, operational excellence, and the successful integration of new services, partners, and technologies. The successful candidate will combine strong Media Engineering expertise with a solid understanding of cloud infrastructure, software-enabled workflows, automation, and modern deployment practices, enabling them to work effectively alongside Software, Platform, and Product Engineering teams. Accountabilities Design, configure, test, and support Media workflows and solutions to achieve maximum performance, reliability, and availability across VOD and Cloud Playout platforms. Provide technical expertise for the deployment, operation, and optimisation of Media services, ensuring efficient workflow execution and continual service improvement. Design and drive processes to facilitate the onboarding of new services, partners, channels, and content delivery workflows. Develop, analyse, troubleshoot, and modify Media systems, workflows, and configurations, ensuring compliance with operational, regulatory, and industry standards. Support the integration and operation of third-party Media products and vendor platforms hosted within AWS environments. Configure and maintain metadata-driven workflows, XML-based configurations, subtitle services, content delivery processes, and media processing pipelines. Support deployment and promotion activities through Git-based configuration management and CI/CD workflows. Troubleshoot issues across distributed cloud services, media workflows, and partner integrations, applying a structured and methodical approach to root-cause analysis and resolution. Support engagement with suppliers, vendors, contractors, and customers to ensure service delivery requirements are met and issues are effectively managed through to resolution. Standardise workflow configurations and engineering practices to improve maintainability, minimise disruption, and simplify integration with existing platforms and infrastructure. Document Media engineering principles, workflows, operational procedures, and platform configurations in line with industry best practices. Apply engineering, security, compliance, and operational standards across all aspects of Media platform design and support. Apply engineering best practices to deliver solutions that are reliable, scalable, maintainable, and supportable throughout their lifecycle. Act as a Design Authority (DA) within Media Engineering to ensure successful delivery of end-to-end solutions and support projects as Lead Design Authority (LDA) where required. Work closely with Product, Platform, Software Engineering, Architecture, Operations, and Network teams to deploy, optimise, and support Media solutions. Support AWS-based Media services including Lambda, Step Functions, S3, EventBridge, IAM, and related cloud-native technologies. Assist in the integration and migration of legacy Media systems into modern cloud-based architectures and workflows. Contribute to automation initiatives, operational tooling, and workflow orchestration to improve efficiency and reduce manual intervention. Provide technical leadership and mentoring to junior engineers, promoting engineering excellence, knowledge sharing, and continuous improvement. Stay current with emerging Media technologies, cloud platforms, video transport protocols, and industry best practices. Identify opportunities to improve engineering processes, platform performance, service resilience, and operational efficiency. Skills Media Engineering- Strong understanding of VOD, broadcast, playout, OTT, content delivery, metadata management, subtitle workflows, scheduling, and media processing technologies. Cloud Platforms & Operations- Practical understanding of AWS services including Lambda, Step Functions, S3, EventBridge, IAM, and cloud-native operational support. Configuration & Workflow Management- Experience working with XML, metadata-driven workflows, service onboarding, workflow configuration, and operational change management. Software & Automation Awareness- Ability to read, understand, troubleshoot, and modify code and scripts used within Media platforms and cloud workflows. Git & Deployment Practices- Understanding of Git-based workflows, CI/CD pipelines, configuration management, and deployment processes across multiple environments. Problem Solving- Strong analytical and troubleshooting skills with the ability to diagnose issues across distributed systems, cloud infrastructure, vendor products, and Media workflows. Vendor & Integration Management- Experience integrating with external partners and vendors using technologies such as FTP, SFTP, Apple Transporter, and S3-based delivery workflows. Video Connectivity & Distribution- Awareness of cloud ingest and distribution workflows and modern IP video transport technologies including SRT, RIST, and Zixi. Technical Leadership- Ability to mentor engineers, act as a subject matter expert, and share best practices across Media platforms and operational processes. Cross-Functional Collaboration- Proven ability to work effectively with Product, Engineering, Platform, Operations, Architecture, and external supplier teams. Operational Ownership- Ability to make informed decisions in live and time-sensitive operational environments while balancing technical, service, and commercial considerations. Communication & Stakeholder Management- Strong written and verbal communication skills with the ability to engage effectively with technical and non-technical stakeholders. Knowledge & Experience Experienced in Media Engineering within VOD, OTT, Broadcast, Playout, or Cloud Media environments. Demonstrable experience supporting Media workflows, platform configuration, metadata management, content delivery, service onboarding, and operational ownership of Media services. Experience working with cloud-hosted Media platforms and services running within AWS environments. Practical experience using AWS services such as Lambda, Step Functions, S3, EventBridge, and IAM for deployment, troubleshooting, and operational support. Experience working with Git-based source control, configuration management, and CI/CD deployment processes. Ability to understand, troubleshoot, and make changes to software-driven workflows, automation, and cloud-native services. Experience working with vendor-supported Media platforms and third-party integrations. Knowledge of XML and structured configuration formats used in Media workflows. Experience supporting or integrating cloud playout platforms, scheduling systems, playlist-driven workflows, or channel operations is beneficial. Good Python knowledge for workflow logic, automation support, AWS Lambda troubleshooting, and operational scripting is highly desirable. Knowledge of Infrastructure as Code tooling such as Terraform or Terragrunt is advantageous. Experience reverse-engineering legacy workflows and supporting migration to cloud-based platforms would be advantageous. Exposure to incident management, operational escalation, and live service support is desirable. Qualifications: A degree or equivalent experience in Media Technology, Computer Science, Software Engineering, Broadcast Engineering, Electrical Engineering, or a related discipline is advantageous. Important: This is not a traditional Playout Operations or Broadcast Support role. Successful candidates will have experience working with cloud-based media platforms and be comfortable engaging with software engineering concepts, source control, deployment pipelines, configuration management, automation, and code-based workflows, even where software development is not their primary discipline.
27/07/2026
Full time
Engineer - Audio & Video Processing - 12 months FTC Location:Crawley Court (Winchester), Emley Moor (Huddersfield), Newman Street Chalfont -London We operate a flexible, hybrid working environment - requirement to travel to either our Winchester or London office up to twice a week Total Package 12 months FTC Up to £54,000 base salary Generous pension scheme starting at 6% rising to 10% 25 days annual leave Private Medical A unique wellbeing programme that looks after the whole you Access to multiple learning platforms to support your individual development Active and diverse networks that build community, support wellbeing and advocate for change A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here. Purpose - 12 months FTC Responsible for the design, development, implementation, operation, and troubleshooting of cloud-based and traditional Media platforms, with a particular focus on VOD, Cloud Playout, workflow automation, metadata-driven services, and AWS-hosted media solutions. The role is accountable for supporting, configuring, and optimising media workflows across production and non-production environments, ensuring reliable content delivery, operational excellence, and the successful integration of new services, partners, and technologies. The successful candidate will combine strong Media Engineering expertise with a solid understanding of cloud infrastructure, software-enabled workflows, automation, and modern deployment practices, enabling them to work effectively alongside Software, Platform, and Product Engineering teams. Accountabilities Design, configure, test, and support Media workflows and solutions to achieve maximum performance, reliability, and availability across VOD and Cloud Playout platforms. Provide technical expertise for the deployment, operation, and optimisation of Media services, ensuring efficient workflow execution and continual service improvement. Design and drive processes to facilitate the onboarding of new services, partners, channels, and content delivery workflows. Develop, analyse, troubleshoot, and modify Media systems, workflows, and configurations, ensuring compliance with operational, regulatory, and industry standards. Support the integration and operation of third-party Media products and vendor platforms hosted within AWS environments. Configure and maintain metadata-driven workflows, XML-based configurations, subtitle services, content delivery processes, and media processing pipelines. Support deployment and promotion activities through Git-based configuration management and CI/CD workflows. Troubleshoot issues across distributed cloud services, media workflows, and partner integrations, applying a structured and methodical approach to root-cause analysis and resolution. Support engagement with suppliers, vendors, contractors, and customers to ensure service delivery requirements are met and issues are effectively managed through to resolution. Standardise workflow configurations and engineering practices to improve maintainability, minimise disruption, and simplify integration with existing platforms and infrastructure. Document Media engineering principles, workflows, operational procedures, and platform configurations in line with industry best practices. Apply engineering, security, compliance, and operational standards across all aspects of Media platform design and support. Apply engineering best practices to deliver solutions that are reliable, scalable, maintainable, and supportable throughout their lifecycle. Act as a Design Authority (DA) within Media Engineering to ensure successful delivery of end-to-end solutions and support projects as Lead Design Authority (LDA) where required. Work closely with Product, Platform, Software Engineering, Architecture, Operations, and Network teams to deploy, optimise, and support Media solutions. Support AWS-based Media services including Lambda, Step Functions, S3, EventBridge, IAM, and related cloud-native technologies. Assist in the integration and migration of legacy Media systems into modern cloud-based architectures and workflows. Contribute to automation initiatives, operational tooling, and workflow orchestration to improve efficiency and reduce manual intervention. Provide technical leadership and mentoring to junior engineers, promoting engineering excellence, knowledge sharing, and continuous improvement. Stay current with emerging Media technologies, cloud platforms, video transport protocols, and industry best practices. Identify opportunities to improve engineering processes, platform performance, service resilience, and operational efficiency. Skills Media Engineering- Strong understanding of VOD, broadcast, playout, OTT, content delivery, metadata management, subtitle workflows, scheduling, and media processing technologies. Cloud Platforms & Operations- Practical understanding of AWS services including Lambda, Step Functions, S3, EventBridge, IAM, and cloud-native operational support. Configuration & Workflow Management- Experience working with XML, metadata-driven workflows, service onboarding, workflow configuration, and operational change management. Software & Automation Awareness- Ability to read, understand, troubleshoot, and modify code and scripts used within Media platforms and cloud workflows. Git & Deployment Practices- Understanding of Git-based workflows, CI/CD pipelines, configuration management, and deployment processes across multiple environments. Problem Solving- Strong analytical and troubleshooting skills with the ability to diagnose issues across distributed systems, cloud infrastructure, vendor products, and Media workflows. Vendor & Integration Management- Experience integrating with external partners and vendors using technologies such as FTP, SFTP, Apple Transporter, and S3-based delivery workflows. Video Connectivity & Distribution- Awareness of cloud ingest and distribution workflows and modern IP video transport technologies including SRT, RIST, and Zixi. Technical Leadership- Ability to mentor engineers, act as a subject matter expert, and share best practices across Media platforms and operational processes. Cross-Functional Collaboration- Proven ability to work effectively with Product, Engineering, Platform, Operations, Architecture, and external supplier teams. Operational Ownership- Ability to make informed decisions in live and time-sensitive operational environments while balancing technical, service, and commercial considerations. Communication & Stakeholder Management- Strong written and verbal communication skills with the ability to engage effectively with technical and non-technical stakeholders. Knowledge & Experience Experienced in Media Engineering within VOD, OTT, Broadcast, Playout, or Cloud Media environments. Demonstrable experience supporting Media workflows, platform configuration, metadata management, content delivery, service onboarding, and operational ownership of Media services. Experience working with cloud-hosted Media platforms and services running within AWS environments. Practical experience using AWS services such as Lambda, Step Functions, S3, EventBridge, and IAM for deployment, troubleshooting, and operational support. Experience working with Git-based source control, configuration management, and CI/CD deployment processes. Ability to understand, troubleshoot, and make changes to software-driven workflows, automation, and cloud-native services. Experience working with vendor-supported Media platforms and third-party integrations. Knowledge of XML and structured configuration formats used in Media workflows. Experience supporting or integrating cloud playout platforms, scheduling systems, playlist-driven workflows, or channel operations is beneficial. Good Python knowledge for workflow logic, automation support, AWS Lambda troubleshooting, and operational scripting is highly desirable. Knowledge of Infrastructure as Code tooling such as Terraform or Terragrunt is advantageous. Experience reverse-engineering legacy workflows and supporting migration to cloud-based platforms would be advantageous. Exposure to incident management, operational escalation, and live service support is desirable. Qualifications: A degree or equivalent experience in Media Technology, Computer Science, Software Engineering, Broadcast Engineering, Electrical Engineering, or a related discipline is advantageous. Important: This is not a traditional Playout Operations or Broadcast Support role. Successful candidates will have experience working with cloud-based media platforms and be comfortable engaging with software engineering concepts, source control, deployment pipelines, configuration management, automation, and code-based workflows, even where software development is not their primary discipline.
Citi
Full Stack Application Development Technical Lead (Java/Python), Vice President
Citi
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, application development, problem solving and communication to the Source to Pay Solutions Technology group.By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Application Development Technology Lead is a senior level position responsible for Design, build, and enhance Java based backend services and Python enabled components for enterprise scale applications Own end to end delivery of features from design through production rollout Collaborate with global technology and business teams to deliver against regulatory and transformation priorities Apply agile engineering practices (iterative delivery, continuous improvement, pragmatic design decisions) Integrate GenAI capabilities (LLMs, APIs, workflow automation) into real world applications where they add value Mentor developers through code reviews, technical guidance, and hands on collaboration Ensure applications meet Citi standards for security, stability, and control What we'll need from you Strong hands on experience with Java (Spring Boot / Core); working knowledge of Python or strong willingness to ramp up quickly Full stack mindset with exposure to modern frontend frameworks (React, Angular, or similar) Experience delivering in Agile / Scrum environments with a bias toward action and ownership Practical exposure to cloud native architecture and scalable systems Awareness or hands on experience integrating GenAI / LLM based capabilities into applications, with a focus on integration and usage rather than deep ML research Strong communication skills and ability to work independently with minimal supervision What we can offer you This is a role that'll offer you the opportunity to build an in-depth knowledge of financial services and business services operations across the bank. Every day there will be new business challenges that will help you develop new skills that can drive your career. We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. View Citi's EEO Policy Statement and the Know Your Rights poster. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
27/07/2026
Full time
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in analysis, application development, problem solving and communication to the Source to Pay Solutions Technology group.By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Application Development Technology Lead is a senior level position responsible for Design, build, and enhance Java based backend services and Python enabled components for enterprise scale applications Own end to end delivery of features from design through production rollout Collaborate with global technology and business teams to deliver against regulatory and transformation priorities Apply agile engineering practices (iterative delivery, continuous improvement, pragmatic design decisions) Integrate GenAI capabilities (LLMs, APIs, workflow automation) into real world applications where they add value Mentor developers through code reviews, technical guidance, and hands on collaboration Ensure applications meet Citi standards for security, stability, and control What we'll need from you Strong hands on experience with Java (Spring Boot / Core); working knowledge of Python or strong willingness to ramp up quickly Full stack mindset with exposure to modern frontend frameworks (React, Angular, or similar) Experience delivering in Agile / Scrum environments with a bias toward action and ownership Practical exposure to cloud native architecture and scalable systems Awareness or hands on experience integrating GenAI / LLM based capabilities into applications, with a focus on integration and usage rather than deep ML research Strong communication skills and ability to work independently with minimal supervision What we can offer you This is a role that'll offer you the opportunity to build an in-depth knowledge of financial services and business services operations across the bank. Every day there will be new business challenges that will help you develop new skills that can drive your career. We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretionary annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. View Citi's EEO Policy Statement and the Know Your Rights poster. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
Network Engineer
Cedar Cares, Inc
Location Overview The Cboe office in London is situated in The Monument Building, a modern space that spans two floors and features a spacious outdoor balcony. From the balcony, employees can enjoy stunning views of some of London's most iconic architectural landmarks, adding a unique touch to the work environment. The building is equipped with convenient amenities for office commuters, including bike storage and showers, making it easy for staff to freshen up after their commute. Its prime location in the heart of London's financial district ensures that employees have easy access to a variety of cafes, restaurants, and shops, creating an ideal balance of work and leisure. The office is located directly adjacent to the historic Monument to the Great Fire of London and is just across the street from the Monument Underground Station. This provides convenient transport links, with access to the West End in less than 15 minutes. The location blends the vibrancy of central London with the business-centric atmosphere of the City, making it an attractive hub for professionals. Role Overview The Network Operations Center (NOC) Engineer is a core member of Cboe's global infrastructure organization, responsible for operating, supporting, and continuously improving the reliability, performance, and fairness of network connectivity across highly distributed, latency-sensitive trading platforms spanning on-prem and cloud environments. This is a hands-on engineering role for experienced network technologists with deep expertise in routing, MPLS, firewalls, and packet-level troubleshooting, combined with working knowledge of cloud networking and automation. NOC Engineers function as true engineers-owning complex troubleshooting, real-time monitoring, incident response, change execution, and customer connectivity onboarding-while operating independently with minimal supervision. They collaborate directly with internal engineering teams and external customers, serve as escalation points, and communicate clearly with both technical stakeholders and senior leadership, translating complex issues into actionable outcomes. The role also emphasizes building efficient, modern operations through scripting, automation, and API-driven workflows to improve observability, accelerate root cause analysis, and reduce mean time to repair (MTTR). While familiarity with AI-assisted tooling is beneficial, the primary focus is on strong engineering fundamentals and practical automation that reduces operational friction. Success in this role requires sound operational judgment, strong communication skills, and the ability to translate complex telemetry and packet-level data into clear, actionable insights. Engineers are expected to perform effectively in a high-availability, always-on environment while supporting and evolving a next-generation, software-driven network and cloud operations function. Engineer and support customer connectivity across on prem and cloud environments, including circuit provisioning, AWS networking, and VPN connectivity, while configuring and deploying production changes across routing, firewall, and cloud network infrastructure Troubleshoot and support complex network environments (BGP, OSPF, MPLS, multicast, HSRP), partnering with customers and internal teams to validate connectivity, onboard new participants, and resolve issues across latency sensitive trading systems Provide real-time monitoring and incident response for global network infrastructure, analyzing telemetry, packet loss, and performance data to proactively identify issues and drive rapid resolution with clear communication Deliver high-quality customer support through ticket queues and direct engagement, serving as a trusted technical resource and ensuring clear, timely communication with both customers and internal stakeholders Lead escalations and advanced troubleshooting efforts across network, cloud, and infrastructure domains, collaborating with engineering teams and vendors to restore service and resolve complex issues Develop and maintain automation, monitoring enhancements, and observability tooling using scripting and API-driven integrations to improve efficiency, visibility, and troubleshooting speed Perform deep packet analysis and contribute to root cause investigations, translating low-level network data into clear findings that support long-term problem management and service improvement The ideal candidate has 3+ years of hands-on network engineering experience across Cisco, Arista, and/or Palo Alto environments, with strong fundamentals in routing, switching, and firewall technologies Experience troubleshooting complex network issues, including packet analysis using tools such as tcpdump, Wireshark, tshark, or similar 2-3+ years of UNIX/Linux experience, including shell access and command-line troubleshooting, with an emphasis on network diagnostics Experience with scripting and/or API-driven automation to improve operational efficiency and reduce manual effort Preferred Qualifications Working knowledge of AWS cloud networking, including VPCs, routing, security groups, and hybrid connectivity models Familiarity with network observability and monitoring tools (e.g., Grafana or similar) for telemetry analysis and troubleshooting Experience with advanced packet capture platforms (e.g., Corvil) or equivalent high-performance analysis tools Relevant industry certifications such as Cisco, AWS, Palo Alto, CompTIA Network+/Security+, or similar Benefits and Perks We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Private Medical Insurance Life Insurance GP Service Fitness Corporate Membership Employee assistance Program (EAP) Eye Care Short Term Incentive (STI) Pension Income Protection Accident Insurance Business Travel Insurance Associate Referral Program Perks at Work Employee Stock Purchase Plan (ESPP) Season Ticket Loan LinkedIn Learning courses Service Awards Free lunch when in office Corporate Events Education Assistance Holiday (Annual Leave) Other Forms Enhanced Leave (Maternity, Paternity, Adoption, Compassionate Leave, Community Service / Volunteering Day & School Visit) Working Abroad Days Allowance More About Cboe Europe We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or Veteran status. We are committed to fostering a workplace where all individuals are valued and respected. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. Cboe is always looking for intelligent, innovative and hard-working individuals. Our success is based on our talented team of industry and technology professionals, which we believe is the strongest in the industry, and we pride ourselves on hiring the best and brightest. Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links: Equal Employment Opportunity is The Law (in English) Equal Employment Opportunity is The Law (in Spanish) Equal Employment Opportunity is The Law (Supplement) E-Verify Participation Poster (English & Spanish) Right to Work Poster (English) Right to Work Poster (Spanish) If you have been contacted about a job opening at Cboe by someone that does not have email, this is NOT a trusted source. Cboe only utilizes emails or Linkedin messaging for recruitment purposes. Cboe does not use any other third-party messaging applications. We recommend that you refrain from responding to Cboe recruitment emails that are not from a email address and to file a complaint with the Internet Crime Complaint Center IC3 at If you have further questions, please reach out to the Cboe HR team at
27/07/2026
Full time
Location Overview The Cboe office in London is situated in The Monument Building, a modern space that spans two floors and features a spacious outdoor balcony. From the balcony, employees can enjoy stunning views of some of London's most iconic architectural landmarks, adding a unique touch to the work environment. The building is equipped with convenient amenities for office commuters, including bike storage and showers, making it easy for staff to freshen up after their commute. Its prime location in the heart of London's financial district ensures that employees have easy access to a variety of cafes, restaurants, and shops, creating an ideal balance of work and leisure. The office is located directly adjacent to the historic Monument to the Great Fire of London and is just across the street from the Monument Underground Station. This provides convenient transport links, with access to the West End in less than 15 minutes. The location blends the vibrancy of central London with the business-centric atmosphere of the City, making it an attractive hub for professionals. Role Overview The Network Operations Center (NOC) Engineer is a core member of Cboe's global infrastructure organization, responsible for operating, supporting, and continuously improving the reliability, performance, and fairness of network connectivity across highly distributed, latency-sensitive trading platforms spanning on-prem and cloud environments. This is a hands-on engineering role for experienced network technologists with deep expertise in routing, MPLS, firewalls, and packet-level troubleshooting, combined with working knowledge of cloud networking and automation. NOC Engineers function as true engineers-owning complex troubleshooting, real-time monitoring, incident response, change execution, and customer connectivity onboarding-while operating independently with minimal supervision. They collaborate directly with internal engineering teams and external customers, serve as escalation points, and communicate clearly with both technical stakeholders and senior leadership, translating complex issues into actionable outcomes. The role also emphasizes building efficient, modern operations through scripting, automation, and API-driven workflows to improve observability, accelerate root cause analysis, and reduce mean time to repair (MTTR). While familiarity with AI-assisted tooling is beneficial, the primary focus is on strong engineering fundamentals and practical automation that reduces operational friction. Success in this role requires sound operational judgment, strong communication skills, and the ability to translate complex telemetry and packet-level data into clear, actionable insights. Engineers are expected to perform effectively in a high-availability, always-on environment while supporting and evolving a next-generation, software-driven network and cloud operations function. Engineer and support customer connectivity across on prem and cloud environments, including circuit provisioning, AWS networking, and VPN connectivity, while configuring and deploying production changes across routing, firewall, and cloud network infrastructure Troubleshoot and support complex network environments (BGP, OSPF, MPLS, multicast, HSRP), partnering with customers and internal teams to validate connectivity, onboard new participants, and resolve issues across latency sensitive trading systems Provide real-time monitoring and incident response for global network infrastructure, analyzing telemetry, packet loss, and performance data to proactively identify issues and drive rapid resolution with clear communication Deliver high-quality customer support through ticket queues and direct engagement, serving as a trusted technical resource and ensuring clear, timely communication with both customers and internal stakeholders Lead escalations and advanced troubleshooting efforts across network, cloud, and infrastructure domains, collaborating with engineering teams and vendors to restore service and resolve complex issues Develop and maintain automation, monitoring enhancements, and observability tooling using scripting and API-driven integrations to improve efficiency, visibility, and troubleshooting speed Perform deep packet analysis and contribute to root cause investigations, translating low-level network data into clear findings that support long-term problem management and service improvement The ideal candidate has 3+ years of hands-on network engineering experience across Cisco, Arista, and/or Palo Alto environments, with strong fundamentals in routing, switching, and firewall technologies Experience troubleshooting complex network issues, including packet analysis using tools such as tcpdump, Wireshark, tshark, or similar 2-3+ years of UNIX/Linux experience, including shell access and command-line troubleshooting, with an emphasis on network diagnostics Experience with scripting and/or API-driven automation to improve operational efficiency and reduce manual effort Preferred Qualifications Working knowledge of AWS cloud networking, including VPCs, routing, security groups, and hybrid connectivity models Familiarity with network observability and monitoring tools (e.g., Grafana or similar) for telemetry analysis and troubleshooting Experience with advanced packet capture platforms (e.g., Corvil) or equivalent high-performance analysis tools Relevant industry certifications such as Cisco, AWS, Palo Alto, CompTIA Network+/Security+, or similar Benefits and Perks We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Private Medical Insurance Life Insurance GP Service Fitness Corporate Membership Employee assistance Program (EAP) Eye Care Short Term Incentive (STI) Pension Income Protection Accident Insurance Business Travel Insurance Associate Referral Program Perks at Work Employee Stock Purchase Plan (ESPP) Season Ticket Loan LinkedIn Learning courses Service Awards Free lunch when in office Corporate Events Education Assistance Holiday (Annual Leave) Other Forms Enhanced Leave (Maternity, Paternity, Adoption, Compassionate Leave, Community Service / Volunteering Day & School Visit) Working Abroad Days Allowance More About Cboe Europe We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or Veteran status. We are committed to fostering a workplace where all individuals are valued and respected. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes. Cboe is always looking for intelligent, innovative and hard-working individuals. Our success is based on our talented team of industry and technology professionals, which we believe is the strongest in the industry, and we pride ourselves on hiring the best and brightest. Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links: Equal Employment Opportunity is The Law (in English) Equal Employment Opportunity is The Law (in Spanish) Equal Employment Opportunity is The Law (Supplement) E-Verify Participation Poster (English & Spanish) Right to Work Poster (English) Right to Work Poster (Spanish) If you have been contacted about a job opening at Cboe by someone that does not have email, this is NOT a trusted source. Cboe only utilizes emails or Linkedin messaging for recruitment purposes. Cboe does not use any other third-party messaging applications. We recommend that you refrain from responding to Cboe recruitment emails that are not from a email address and to file a complaint with the Internet Crime Complaint Center IC3 at If you have further questions, please reach out to the Cboe HR team at
Cloud Security Engineer
Intercom
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure as code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure as code practices and modern cloud-native technologies. Comfortable using modern AI assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large scale SaaS environments and high growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
27/07/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure as code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure as code practices and modern cloud-native technologies. Comfortable using modern AI assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large scale SaaS environments and high growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Senior Software Engineer - Risk & FX
United States Digital Space LLC
Job Description Currencycloud was acquired by the company in December 2021. Senior Software Engineers are responsible for implementing an industry leading API that has processed over 50 billion USD of cross border transactions for more than 5 million end users, and remains available to clients 24/7. We are at the forefront of advancing the platform to meet even greater scale. You will join the FX Routing and Aggregation (FXRA) team, which owns the core FX trading platform powering Currency Cloud's foreign exchange capabilities. The team manages multiple microservices covering FX pricing, risk management, trade routing, market data integration, and treasury operations. Our stack runs on AWS as a set of distributed applications using Kubernetes, with microservice led architecture. We also use Kafka for streaming and PACT for contract testing. Responsibilities Build and maintain mission critical FX trading services including pricing engines, risk management systems, and market data providers. Work with real time FX market data from providers such as Barclays and JP Morgan using the FIX protocol. Design and implement high throughput, low latency services handling billions in FX transactions. Lead technical discussions around hexagonal architecture, event driven patterns, and distributed systems design. Mentor junior engineers and establish best practices for the team. Own your domain end to end with clear service boundaries and independent deployment paths. Collaborate with Treasury, Trading, and Platform teams across the organization. Benefits Clear ownership of your domain. A clean modern codebase. An independent path to production. Strong platform and product support. The ability to make real changes with real business value. Technical Stack & Requirements Object oriented programming in Java (version 11+), ideally using the Spring Boot framework. Highly scalable, highly available cloud native applications on AWS, written to 12 factor principles. Cloud related tools and services such as Docker, Kubernetes, ElasticSearch, log management systems, and Datadog APM. API specifications conforming to the OpenAPI (Swagger) standard. Large SQL databases (e.g., MySQL) for persistence; familiarity with SQL and complex queries. Infrastructure automation via Terraform and Docker, with knowledge of AWS. Testing approaches including TDD, BDD, and contract testing with frameworks such as JUnit, RSpec, and Cucumber. Able to work in an Agile environment following the Spotify-style Squads and Tribes model. Experience delivering production ready code with high quality and reliability. Qualifications 5+ years of software development experience. 2+ years of building microservices with Java. Proficient in additional programming languages, such as Ruby or Scala. Working knowledge of relational databases such as MySQL. Experience designing event based and streaming solutions using Kafka. Experience building applications that run in Kubernetes. Hands on experience delivering high quality production code with a focus on testability. Ability to manage and work with contractors and outsourced teams. Experience building software for the financial domain, especially in risk. Agile experience and familiarity with its principles. Strong SQL knowledge and ability to write complex queries. Hands on experience in a DevOps environment or a passion for working in this way. Proven delivery of well tested, scalable, fault tolerant, and performant solutions. Pragmatic approach to solutions and delivery of technical projects. Comfortable reviewing code of peers and driving change in a distributed environment. Work Environment This is a hybrid position. The company requires at least three days in office, with the exact schedule confirmed by your Hiring Manager. Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. The company will also consider qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
27/07/2026
Full time
Job Description Currencycloud was acquired by the company in December 2021. Senior Software Engineers are responsible for implementing an industry leading API that has processed over 50 billion USD of cross border transactions for more than 5 million end users, and remains available to clients 24/7. We are at the forefront of advancing the platform to meet even greater scale. You will join the FX Routing and Aggregation (FXRA) team, which owns the core FX trading platform powering Currency Cloud's foreign exchange capabilities. The team manages multiple microservices covering FX pricing, risk management, trade routing, market data integration, and treasury operations. Our stack runs on AWS as a set of distributed applications using Kubernetes, with microservice led architecture. We also use Kafka for streaming and PACT for contract testing. Responsibilities Build and maintain mission critical FX trading services including pricing engines, risk management systems, and market data providers. Work with real time FX market data from providers such as Barclays and JP Morgan using the FIX protocol. Design and implement high throughput, low latency services handling billions in FX transactions. Lead technical discussions around hexagonal architecture, event driven patterns, and distributed systems design. Mentor junior engineers and establish best practices for the team. Own your domain end to end with clear service boundaries and independent deployment paths. Collaborate with Treasury, Trading, and Platform teams across the organization. Benefits Clear ownership of your domain. A clean modern codebase. An independent path to production. Strong platform and product support. The ability to make real changes with real business value. Technical Stack & Requirements Object oriented programming in Java (version 11+), ideally using the Spring Boot framework. Highly scalable, highly available cloud native applications on AWS, written to 12 factor principles. Cloud related tools and services such as Docker, Kubernetes, ElasticSearch, log management systems, and Datadog APM. API specifications conforming to the OpenAPI (Swagger) standard. Large SQL databases (e.g., MySQL) for persistence; familiarity with SQL and complex queries. Infrastructure automation via Terraform and Docker, with knowledge of AWS. Testing approaches including TDD, BDD, and contract testing with frameworks such as JUnit, RSpec, and Cucumber. Able to work in an Agile environment following the Spotify-style Squads and Tribes model. Experience delivering production ready code with high quality and reliability. Qualifications 5+ years of software development experience. 2+ years of building microservices with Java. Proficient in additional programming languages, such as Ruby or Scala. Working knowledge of relational databases such as MySQL. Experience designing event based and streaming solutions using Kafka. Experience building applications that run in Kubernetes. Hands on experience delivering high quality production code with a focus on testability. Ability to manage and work with contractors and outsourced teams. Experience building software for the financial domain, especially in risk. Agile experience and familiarity with its principles. Strong SQL knowledge and ability to write complex queries. Hands on experience in a DevOps environment or a passion for working in this way. Proven delivery of well tested, scalable, fault tolerant, and performant solutions. Pragmatic approach to solutions and delivery of technical projects. Comfortable reviewing code of peers and driving change in a distributed environment. Work Environment This is a hybrid position. The company requires at least three days in office, with the exact schedule confirmed by your Hiring Manager. Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. The company will also consider qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Head of Cyber, Platforms & IT
"EA Technology Ltd." Chester, Cheshire
This role is hybrid, UK-based. About the role This is an exciting opportunity to lead the security, resilience and operational integrity of EA Technology's cloud platforms and live software applications. You will play a critical role in ensuring our SaaS platforms operate securely, reliably and at scale, supporting high availability in safety-critical environments. Responsibilities Own end-to-end platform resilience, ensuring SaaS systems and cloud services meet availability, performance and recovery objectives Define and enforce secure by design principles, including cybersecurity standards, cloud architecture guardrails and operational controls Lead DevOps and Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support teams Lead cybersecurity governance, including audits, penetration testing, vulnerability management and risk frameworks Support integration of acquired platforms, ensuring alignment with EA Technology's security and reliability standards Establish and maintain platform standards that balance delivery speed with system integrity and resilience What we'll need from you Significant experience leading platform engineering, cybersecurity or reliability teams in complex SaaS environments Deep expertise in cloud native architecture (Azure, AWS or equivalent) Strong understanding of DevOps, SRE principles and SaaS production operations Experience implementing secure by design frameworks and managing cybersecurity governance Experience owning uptime, reliability and systemic operational performance Strong leadership skills, with the ability to work across Engineering, Product and Operations Excellent communication skills, with the ability to articulate technical risk and trade offs clearly Ability to lead calmly and effectively during high pressure incidents Desirable Experience in utilities, energy or critical infrastructure sectors Experience integrating acquired digital platforms Familiarity with hybrid IT/OT security models Experience with FinOps and cloud cost optimisation practices Experience applying AI assisted tooling in operational or security environments What we can offer you Competitive salary + company performance bonus Career development opportunities: We offer genuine pathways for growth within our company Work life balance: With flexible working options, we support our employees in balancing their professional and personal lives Holidays: 25 days of annual leave, plus bank holidays Pension contributions of 8% from the employer (or cash equivalent) Comprehensive benefits, including Group Life Insurance, Income Protection, and Critical Illness cover (or cash equivalents) Private Medical Insurance (single cover or cash equivalent) A truly collaborative and supportive work environment where amazing colleagues inspire each other every day!
27/07/2026
Full time
This role is hybrid, UK-based. About the role This is an exciting opportunity to lead the security, resilience and operational integrity of EA Technology's cloud platforms and live software applications. You will play a critical role in ensuring our SaaS platforms operate securely, reliably and at scale, supporting high availability in safety-critical environments. Responsibilities Own end-to-end platform resilience, ensuring SaaS systems and cloud services meet availability, performance and recovery objectives Define and enforce secure by design principles, including cybersecurity standards, cloud architecture guardrails and operational controls Lead DevOps and Site Reliability Engineering (SRE) maturity, embedding monitoring, observability, automated testing and structured incident response Drive adoption of automation and AI enabled tooling to improve anomaly detection, incident management, vulnerability management and operational efficiency Provide technical oversight of production operations, ensuring alignment between platform standards and operational support teams Lead cybersecurity governance, including audits, penetration testing, vulnerability management and risk frameworks Support integration of acquired platforms, ensuring alignment with EA Technology's security and reliability standards Establish and maintain platform standards that balance delivery speed with system integrity and resilience What we'll need from you Significant experience leading platform engineering, cybersecurity or reliability teams in complex SaaS environments Deep expertise in cloud native architecture (Azure, AWS or equivalent) Strong understanding of DevOps, SRE principles and SaaS production operations Experience implementing secure by design frameworks and managing cybersecurity governance Experience owning uptime, reliability and systemic operational performance Strong leadership skills, with the ability to work across Engineering, Product and Operations Excellent communication skills, with the ability to articulate technical risk and trade offs clearly Ability to lead calmly and effectively during high pressure incidents Desirable Experience in utilities, energy or critical infrastructure sectors Experience integrating acquired digital platforms Familiarity with hybrid IT/OT security models Experience with FinOps and cloud cost optimisation practices Experience applying AI assisted tooling in operational or security environments What we can offer you Competitive salary + company performance bonus Career development opportunities: We offer genuine pathways for growth within our company Work life balance: With flexible working options, we support our employees in balancing their professional and personal lives Holidays: 25 days of annual leave, plus bank holidays Pension contributions of 8% from the employer (or cash equivalent) Comprehensive benefits, including Group Life Insurance, Income Protection, and Critical Illness cover (or cash equivalents) Private Medical Insurance (single cover or cash equivalent) A truly collaborative and supportive work environment where amazing colleagues inspire each other every day!
Lead AI Engineer
PSR Limited
Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.
27/07/2026
Full time
Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.
DevOps Engineer
Copper Technologies
Since being founded in 2018, Copper has been building the standard for institutional digital asset infrastructure with a focus on custody, collateral management, and prime services. Led by Amar Kuchinad, Copper's Global CEO, the firm provides a comprehensive suite of custody, trading and settlement solutions that reduce counterparty risk and bring greater capital and operational efficiency to digital asset markets. At the heart of Copper's offering is Multi-Party Computation (MPC) technology - the gold standard in secure custody. Copper's multi-award winning custody system is unique in that it can be connected to centralised exchanges, DeFi applications and even staking pools without the assets leaving the custody. Built on top of this state-of-the-art custody, ClearLoop is the first solution in the market that overcomes a growing industry challenge; counterparty risk with exchanges. This solution underpins a full prime services offering, connecting global exchanges, and enabling customers to trade and settle directly from the safety of their MPC-secured wallets. By reducing settlement time for transfers to a few milliseconds (without blockchain network dependency) and offering enhanced security measures, ClearLoop is rapidly reshaping the way asset managers trade and manage capital. In addition to industry-leading security certifications, Copper has one of the strongest insurance coverages in the industry from an A+ rated insurer, positioning the firm as the partner of choice for institutions seeking to safeguard their assets. Department/Team Purpose: The Engineering department is the backbone of Copper; entrusted with the critical responsibility of building and securing the infrastructure that safeguards billions of dollars in digital assets. We operate at the intersection of traditional institutional finance and decentralized blockchain technology. We believe the best infrastructure comes from curious minds working openly together. Our engineering organisation brings together people with diverse backgrounds and experiences who genuinely enjoy solving hard problems. We foster a blame-free, intellectually honest environment where you're encouraged to take thoughtful risks and think big. You'll have the autonomy to own meaningful projects while gaining the support you need to grow your skills and advance your career. Role Purpose: Day-to-day, you'll tackle platform and deployment challenges through pragmatic engineering and automation. You'll build and operate scalable, self-service infrastructure, CI/CD pipelines, and blockchain platforms, including node provisioning, network deployment, and lifecycle management. You'll optimise build and release pipelines, improve system resilience, and ensure 'traditional' and blockchain infrastructure can scale with the needs of the business. You will collaborate closely with engineering and SRE teams, focusing on infrastructure as code, developer experience, and operational scalability across the engineering organisation, with ownership of the reliability and performance of blockchain nodes and supporting systems. Key Responsibilities: Building a fault-tolerant, geographically distributed infrastructure: support of multiple data centres, providing replication, sharding, auto balancing and failover. Participating in deployment of services with strict availability requirements on a large-scale environment and working together with other Engineers to ensure our systems meet current and future demand. Develop and maintain code for automated infrastructure management (DevOps, Infrastructure as Code) with the use of Ansible and Terraform. Working collaboratively with the Backend Engineering team to increase our resilience through insightful systems and application metrics. Improving our CI/CD pipeline to provide new integration vectors. Building and maintaining infrastructure for its own fleet of blockchain nodes (>25 layer 1 protocols now, and more to come) On-Call support to ensure 24/7 availability of all systems. Skills and Experience: Proven experience as a DevOps Engineer operating production-grade infrastructure. Strong experience with Infrastructure as Code (e.g. Terraform, CloudFormation) and automated environment provisioning. Strong experience with containerisation and Kubernetes, including production operations and cluster management; EKS preferred. Experience building and operating CI/CD pipelines using GitHub Actions and deployment tools such as ArgoCD. Solid understanding of networking fundamentals (VPCs, routing, load balancing, DNS, firewalls). Experience implementing and operating secure systems (IAM, secrets management, network security controls, vulnerability management). Proficiency with at least one development language (e.g., bash, Python, Go). Strong problem-solving and troubleshooting abilities. Excellent communication and collaboration abilities Hands-on experience running and maintaining blockchain infrastructure (e.g. node deployment, syncing, upgrades, monitoring, and troubleshooting). Experience working within crypto organisation. Experience in Financial Services. Why Copper? At Copper, we keep innovation, openness, and curiosity at the centre of everything we do. Here, bold ideas get the spotlight, learning is constant, and diversity shapes our team from the ground up. Jump into a fast-moving, dynamic team that loves a challenge and knows how to have fun along the way. Collaboration is just as important as results-you'll be surrounded by smart, driven colleagues in London and across our APAC, Switzerland, UAE, and US offices. Hybrid working model - we believe in the value of bringing people together and at the same time we embrace the adaptability of flexibly working. Diversity and inclusion matter to us-they're woven into Copper life. From employee-led groups like Women at Copper to a committee focused on community and wellbeing, you'll have a network that supports you from day one. Everyone voice matters. If you're looking to ramp up your career, or keen to do something new in your field, with us, you'll keep moving forward. Ready to make your mark, keep growing, and join a supportive, dynamic team? Copper's the place. The interview process at Copper Our interview process is designed to be thoughtful, efficient, and engaging. While specific steps may vary slightly depending on the role, the typical journey includes: Initial Screening: A brief conversation with our Talent Acquisition team to explore your background, motivations, and alignment with the role. Technical Interview: A virtual session conducted via Microsoft Teams, where you'll engage with team members to discuss relevant skills, problem-solving approaches, and technical experience. In-Person Interview: A conversation focused on team dynamics, collaboration style, and any final technical questions. This may be with cross-functional peers or leadership. Additional steps may be added based on the role's complexity or seniority. We aim to keep the process transparent and respectful of your time. In return for everything you can bring to Copper, we can offer you an exciting, challenging role in a fast-growing and dynamic business, with career opportunities and welcoming working environment. Some of our key UK benefits are highlighted below: Paid Time Off - A minimum of 35 days of paid time off per year, inclusive of annual leave and public holidays. Employees also receive one additional day of annual leave for each year of service. Comprehensive Medical Insurance - Inclusive of dental, optical, audiology, and mental health coverage, with medical history disregarded Life Insurance Enhanced Pension Contributions - Includes an enhanced employer matching contribution 24/7 Employee Assistance Programme (EAP) Copper is an equal opportunity employer. We embrace diversity and equal opportunities in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. So, bring us your experience, perspectives, and skills. It is in our differences that we will continue to grow and ensure Copper is transforming how institutional investors engage with digital assets. Copper is a Disability Confident Employer, please let us know if you have a disability. If you require us to provide any assistance during the recruitment process, then we would ask you to highlight this to us and we will be happy to accommodate.
27/07/2026
Full time
Since being founded in 2018, Copper has been building the standard for institutional digital asset infrastructure with a focus on custody, collateral management, and prime services. Led by Amar Kuchinad, Copper's Global CEO, the firm provides a comprehensive suite of custody, trading and settlement solutions that reduce counterparty risk and bring greater capital and operational efficiency to digital asset markets. At the heart of Copper's offering is Multi-Party Computation (MPC) technology - the gold standard in secure custody. Copper's multi-award winning custody system is unique in that it can be connected to centralised exchanges, DeFi applications and even staking pools without the assets leaving the custody. Built on top of this state-of-the-art custody, ClearLoop is the first solution in the market that overcomes a growing industry challenge; counterparty risk with exchanges. This solution underpins a full prime services offering, connecting global exchanges, and enabling customers to trade and settle directly from the safety of their MPC-secured wallets. By reducing settlement time for transfers to a few milliseconds (without blockchain network dependency) and offering enhanced security measures, ClearLoop is rapidly reshaping the way asset managers trade and manage capital. In addition to industry-leading security certifications, Copper has one of the strongest insurance coverages in the industry from an A+ rated insurer, positioning the firm as the partner of choice for institutions seeking to safeguard their assets. Department/Team Purpose: The Engineering department is the backbone of Copper; entrusted with the critical responsibility of building and securing the infrastructure that safeguards billions of dollars in digital assets. We operate at the intersection of traditional institutional finance and decentralized blockchain technology. We believe the best infrastructure comes from curious minds working openly together. Our engineering organisation brings together people with diverse backgrounds and experiences who genuinely enjoy solving hard problems. We foster a blame-free, intellectually honest environment where you're encouraged to take thoughtful risks and think big. You'll have the autonomy to own meaningful projects while gaining the support you need to grow your skills and advance your career. Role Purpose: Day-to-day, you'll tackle platform and deployment challenges through pragmatic engineering and automation. You'll build and operate scalable, self-service infrastructure, CI/CD pipelines, and blockchain platforms, including node provisioning, network deployment, and lifecycle management. You'll optimise build and release pipelines, improve system resilience, and ensure 'traditional' and blockchain infrastructure can scale with the needs of the business. You will collaborate closely with engineering and SRE teams, focusing on infrastructure as code, developer experience, and operational scalability across the engineering organisation, with ownership of the reliability and performance of blockchain nodes and supporting systems. Key Responsibilities: Building a fault-tolerant, geographically distributed infrastructure: support of multiple data centres, providing replication, sharding, auto balancing and failover. Participating in deployment of services with strict availability requirements on a large-scale environment and working together with other Engineers to ensure our systems meet current and future demand. Develop and maintain code for automated infrastructure management (DevOps, Infrastructure as Code) with the use of Ansible and Terraform. Working collaboratively with the Backend Engineering team to increase our resilience through insightful systems and application metrics. Improving our CI/CD pipeline to provide new integration vectors. Building and maintaining infrastructure for its own fleet of blockchain nodes (>25 layer 1 protocols now, and more to come) On-Call support to ensure 24/7 availability of all systems. Skills and Experience: Proven experience as a DevOps Engineer operating production-grade infrastructure. Strong experience with Infrastructure as Code (e.g. Terraform, CloudFormation) and automated environment provisioning. Strong experience with containerisation and Kubernetes, including production operations and cluster management; EKS preferred. Experience building and operating CI/CD pipelines using GitHub Actions and deployment tools such as ArgoCD. Solid understanding of networking fundamentals (VPCs, routing, load balancing, DNS, firewalls). Experience implementing and operating secure systems (IAM, secrets management, network security controls, vulnerability management). Proficiency with at least one development language (e.g., bash, Python, Go). Strong problem-solving and troubleshooting abilities. Excellent communication and collaboration abilities Hands-on experience running and maintaining blockchain infrastructure (e.g. node deployment, syncing, upgrades, monitoring, and troubleshooting). Experience working within crypto organisation. Experience in Financial Services. Why Copper? At Copper, we keep innovation, openness, and curiosity at the centre of everything we do. Here, bold ideas get the spotlight, learning is constant, and diversity shapes our team from the ground up. Jump into a fast-moving, dynamic team that loves a challenge and knows how to have fun along the way. Collaboration is just as important as results-you'll be surrounded by smart, driven colleagues in London and across our APAC, Switzerland, UAE, and US offices. Hybrid working model - we believe in the value of bringing people together and at the same time we embrace the adaptability of flexibly working. Diversity and inclusion matter to us-they're woven into Copper life. From employee-led groups like Women at Copper to a committee focused on community and wellbeing, you'll have a network that supports you from day one. Everyone voice matters. If you're looking to ramp up your career, or keen to do something new in your field, with us, you'll keep moving forward. Ready to make your mark, keep growing, and join a supportive, dynamic team? Copper's the place. The interview process at Copper Our interview process is designed to be thoughtful, efficient, and engaging. While specific steps may vary slightly depending on the role, the typical journey includes: Initial Screening: A brief conversation with our Talent Acquisition team to explore your background, motivations, and alignment with the role. Technical Interview: A virtual session conducted via Microsoft Teams, where you'll engage with team members to discuss relevant skills, problem-solving approaches, and technical experience. In-Person Interview: A conversation focused on team dynamics, collaboration style, and any final technical questions. This may be with cross-functional peers or leadership. Additional steps may be added based on the role's complexity or seniority. We aim to keep the process transparent and respectful of your time. In return for everything you can bring to Copper, we can offer you an exciting, challenging role in a fast-growing and dynamic business, with career opportunities and welcoming working environment. Some of our key UK benefits are highlighted below: Paid Time Off - A minimum of 35 days of paid time off per year, inclusive of annual leave and public holidays. Employees also receive one additional day of annual leave for each year of service. Comprehensive Medical Insurance - Inclusive of dental, optical, audiology, and mental health coverage, with medical history disregarded Life Insurance Enhanced Pension Contributions - Includes an enhanced employer matching contribution 24/7 Employee Assistance Programme (EAP) Copper is an equal opportunity employer. We embrace diversity and equal opportunities in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. So, bring us your experience, perspectives, and skills. It is in our differences that we will continue to grow and ensure Copper is transforming how institutional investors engage with digital assets. Copper is a Disability Confident Employer, please let us know if you have a disability. If you require us to provide any assistance during the recruitment process, then we would ask you to highlight this to us and we will be happy to accommodate.
Python Software Engineer
Fundment Limited
Fundment is a fast-growing wealth infrastructure company transforming the £3 trillion UK wealth management industry. Our modern investment platform is becoming the platform of choice for financial advisers and their clients. We're building high-performance tools with modern technology to create a better investment experience. About the Role We're looking for an experienced Python Software Engineer to join our product engineering team. You'll help build and evolve the backend systems that power our platform - working with modern Python tools and frameworks to deliver secure, scalable, and maintainable services. This includes building APIs, designing backend systems, and developing internal tools that support our operations and client-facing platform. You'll work closely with other engineers and cross-functional teams, take ownership of complex problems, and ship production-ready code that has real business impact. You'll also contribute to design and architecture discussions and help maintain high standards for code quality and system reliability. This role is best suited to someone with at least 4 years' experience in Python based environments, who enjoys working in a fast-paced setting, values ownership and responsibility, and thrives in a collaborative, supportive team where real impact is encouraged. Skills & Experience Job roles: Back End Core skills considered: Python, FastAPI, SQLAlchemy, Pandas, Numpy What You'll Be Doing Design, build, and maintain APIs, backend services, and internal systems that support both client-facing features and operational teams Develop and evolve data-driven workflows and integrations with third- party systems, including asynchronous processing and event-driven architecture Shape technical direction, contribute to architectural decisions, and plan for scalability, performance, and reliability Write clean, pragmatic code with a strong focus on maintainability, observability, and security Investigate complex issues across distributed systems, identify root causes, and drive long-term solutions Collaborate closely with Product, Operations, and fellow engineers to translate business needs into robust, well-engineered solutions Contribute to code reviews, technical discussions, and shared team practices Mentor peers and help grow a high-trust, high-impact engineering culture Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus - e.g. Pub/Sub, Memcache What We're Looking For 4+ years of professional experience writing production-grade Python Strong understanding of modern Python libraries, REST APIs, and async patterns Familiarity with SQL and working with relational databases at scale Passion for pragmatic clean code, robust architecture, and scalable systems Strong communicator, comfortable with both collaboration and taking ownership Experience working in fast-paced product teams, ideally within SaaS or fintech (Bonus) Experience working in GCP or a similar cloud-native environment Our Values Collaborative - We solve problems together, with empathy and respect Innovative - We challenge assumptions and rethink what's possible Supportive - We help each other grow and succeed Flexible - We adapt and evolve quickly as we scale Trustworthy - We deliver on our promises Company Benefits Be part of a modern, inclusive, high-trust engineering culture Take ownership and ship code that directly improves client outcomes Work with a smart, friendly team that values balance, growth, and support Pension 6% employer contribution, minimum 2% employee contribution. BUPA Private Health Insurance - fully paid for by the company, for you and your immediate family. Medicash Cashplan - fully paid for by the company, for you and your immediate family. Travel insurance - fully paid for by the company, for you and your immediate family. Life Assurance - 4 x base salary. Employee Assistance Programme 28 days annual leave plus bank holidays. Paid compassionate leave - up to 5 days per year. Enhanced paternity/maternity/adoption leave - 16 weeks at full pay after 12 months of service. Jury service - 10 days at full pay. Hybrid working arrangements - 3 days per week in the Fitzrovia office.
27/07/2026
Full time
Fundment is a fast-growing wealth infrastructure company transforming the £3 trillion UK wealth management industry. Our modern investment platform is becoming the platform of choice for financial advisers and their clients. We're building high-performance tools with modern technology to create a better investment experience. About the Role We're looking for an experienced Python Software Engineer to join our product engineering team. You'll help build and evolve the backend systems that power our platform - working with modern Python tools and frameworks to deliver secure, scalable, and maintainable services. This includes building APIs, designing backend systems, and developing internal tools that support our operations and client-facing platform. You'll work closely with other engineers and cross-functional teams, take ownership of complex problems, and ship production-ready code that has real business impact. You'll also contribute to design and architecture discussions and help maintain high standards for code quality and system reliability. This role is best suited to someone with at least 4 years' experience in Python based environments, who enjoys working in a fast-paced setting, values ownership and responsibility, and thrives in a collaborative, supportive team where real impact is encouraged. Skills & Experience Job roles: Back End Core skills considered: Python, FastAPI, SQLAlchemy, Pandas, Numpy What You'll Be Doing Design, build, and maintain APIs, backend services, and internal systems that support both client-facing features and operational teams Develop and evolve data-driven workflows and integrations with third- party systems, including asynchronous processing and event-driven architecture Shape technical direction, contribute to architectural decisions, and plan for scalability, performance, and reliability Write clean, pragmatic code with a strong focus on maintainability, observability, and security Investigate complex issues across distributed systems, identify root causes, and drive long-term solutions Collaborate closely with Product, Operations, and fellow engineers to translate business needs into robust, well-engineered solutions Contribute to code reviews, technical discussions, and shared team practices Mentor peers and help grow a high-trust, high-impact engineering culture Python 3.x with FastAPI, Pydantic, SQLAlchemy, Pandas, and NumPy Relational databases: MySQL and PostgreSQL GCP experience is a plus, but not required Modern Middleware is a plus - e.g. Pub/Sub, Memcache What We're Looking For 4+ years of professional experience writing production-grade Python Strong understanding of modern Python libraries, REST APIs, and async patterns Familiarity with SQL and working with relational databases at scale Passion for pragmatic clean code, robust architecture, and scalable systems Strong communicator, comfortable with both collaboration and taking ownership Experience working in fast-paced product teams, ideally within SaaS or fintech (Bonus) Experience working in GCP or a similar cloud-native environment Our Values Collaborative - We solve problems together, with empathy and respect Innovative - We challenge assumptions and rethink what's possible Supportive - We help each other grow and succeed Flexible - We adapt and evolve quickly as we scale Trustworthy - We deliver on our promises Company Benefits Be part of a modern, inclusive, high-trust engineering culture Take ownership and ship code that directly improves client outcomes Work with a smart, friendly team that values balance, growth, and support Pension 6% employer contribution, minimum 2% employee contribution. BUPA Private Health Insurance - fully paid for by the company, for you and your immediate family. Medicash Cashplan - fully paid for by the company, for you and your immediate family. Travel insurance - fully paid for by the company, for you and your immediate family. Life Assurance - 4 x base salary. Employee Assistance Programme 28 days annual leave plus bank holidays. Paid compassionate leave - up to 5 days per year. Enhanced paternity/maternity/adoption leave - 16 weeks at full pay after 12 months of service. Jury service - 10 days at full pay. Hybrid working arrangements - 3 days per week in the Fitzrovia office.
GCP Cloud Engineer
National Gas Transmission PLC Warwick, Warwickshire
Select how often (in days) to receive an alert: At National Gas, the work we do matters. As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future. Join us and help secure Britain's energy. About the role If you're passionate about cloud technology and eager to make a real impact - look no further. We're looking for a talented GCP (Google Cloud Platform) Cloud Engineer to join our Systems Engineering team and help us deliver secure, scalable, and efficient cloud solutions that keep the nation's energy flowing. The GCP Cloud Engineer is responsible for architecting, implementing, and maintaining secure, scalable, and highly available cloud infrastructure across GCP and Azure. This role requires technical expertise in cloud-native services, automation, and security, and will drive the adoption of Infrastructure as Code (IaC), CI/CD, and DevSecOps practices. What you'll be doing Design, build, and manage complex cloud environments using GCP and Azure, ensuring adherence to architectural guardrails and tagging standards. Develop and maintain secure, multi-region, multi-account cloud landing zones using automation frameworks. Implement advanced networking (VPC, VPN, hybrid connectivity, load balancing, DNS, CDN) and security controls (IAM, RBAC, KMS, firewalls, SIEM integration). Automation & Infrastructure as Code (IaC): Develop, test, and maintain IaC templates using Terraform, CloudFormation, and Ansible for repeatable, auditable deployments. Integrate IaC pipelines with version control (Git), automated testing, and policy-as-code (e.g., Sentinel, OPA) for compliance enforcement. Champion GitOps and immutable infrastructure patterns. CI/CD & DevOps: Build and optimize CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated build, test, and deployment of cloud-native and containerized workloads (Docker, Kubernetes, Helm). Implement blue/green and canary deployment strategies, automated rollbacks, and robust monitoring/alerting for production workloads. Collaborate with development and SRE teams to embed security and quality gates into the SDLC. Cloud Security & Compliance: Enforce cloud security best practices, including least privilege, encryption at rest/in transit, vulnerability scanning, and automated remediation. Support ITGC, audit, and regulatory requirements by implementing controls, monitoring, and evidence collection for cloud environments. Respond to security incidents, perform root cause analysis, and drive continuous improvement. Monitoring, Observability & Cost Optimization: Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor, GCP Operations Suite, AWS CloudWatch, Prometheus, Grafana). Analyse resource utilization, optimise for performance and cost, and implement automated scaling and rightsizing. Produce dashboards and reports for operational and business stakeholders. Lead incident response for cloud infrastructure issues, including root cause analysis and post-mortem documentation Develop and test disaster recovery and business continuity plans for critical workloads. What you'll bring You're an experienced Cloud Engineer with advanced hands-on experience with Azure, GCP and Terraform, including multi-cloud and hybrid architectures. Also: IaC & Automation: Proficiency in Terraform, CloudFormation, Ansible, and scripting languages (Python, Bash, PowerShell) CI/CD & DevOps: Strong knowledge of CI/CD tools, containerization (Docker, Kubernetes), and orchestration Security: Solid understanding of cloud security frameworks, IAM, encryption, vulnerability management, and compliance (ISO, NIST, CIS) Networking: Expertise in cloud networking, VPNs, load balancers, DNS, CDN, and hybrid connectivity Monitoring & Observability: Experience with cloud-native and open-source monitoring, logging, and alerting tools Certifications: Azure Solutions Architect, GCP Professional Cloud Architect. Experience with policy-as-code, GitOps, and advanced automation frameworks. Exposure to AI/ML workloads, serverless architectures, and cloud cost management tools. Security clearance This role is subject to National Security Vetting (NSV). Candidates must be eligible to obtain and maintain Security Clearance (SC) throughout their employment. For further information, visit (UK Security Vetting: Clearance Levels). What we offer Market-leading double-match pension (up to 12% company contribution) Annual performance bonus up to 6% Access to the Tusker salary sacrifice car scheme 10x salary life assurance and income protection Flexible benefits including healthcare, dental, and technology options Family-friendly policies, wellbeing support, and professional development opportunities Inclusive recruitment We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond. National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant.
27/07/2026
Full time
Select how often (in days) to receive an alert: At National Gas, the work we do matters. As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future. Join us and help secure Britain's energy. About the role If you're passionate about cloud technology and eager to make a real impact - look no further. We're looking for a talented GCP (Google Cloud Platform) Cloud Engineer to join our Systems Engineering team and help us deliver secure, scalable, and efficient cloud solutions that keep the nation's energy flowing. The GCP Cloud Engineer is responsible for architecting, implementing, and maintaining secure, scalable, and highly available cloud infrastructure across GCP and Azure. This role requires technical expertise in cloud-native services, automation, and security, and will drive the adoption of Infrastructure as Code (IaC), CI/CD, and DevSecOps practices. What you'll be doing Design, build, and manage complex cloud environments using GCP and Azure, ensuring adherence to architectural guardrails and tagging standards. Develop and maintain secure, multi-region, multi-account cloud landing zones using automation frameworks. Implement advanced networking (VPC, VPN, hybrid connectivity, load balancing, DNS, CDN) and security controls (IAM, RBAC, KMS, firewalls, SIEM integration). Automation & Infrastructure as Code (IaC): Develop, test, and maintain IaC templates using Terraform, CloudFormation, and Ansible for repeatable, auditable deployments. Integrate IaC pipelines with version control (Git), automated testing, and policy-as-code (e.g., Sentinel, OPA) for compliance enforcement. Champion GitOps and immutable infrastructure patterns. CI/CD & DevOps: Build and optimize CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated build, test, and deployment of cloud-native and containerized workloads (Docker, Kubernetes, Helm). Implement blue/green and canary deployment strategies, automated rollbacks, and robust monitoring/alerting for production workloads. Collaborate with development and SRE teams to embed security and quality gates into the SDLC. Cloud Security & Compliance: Enforce cloud security best practices, including least privilege, encryption at rest/in transit, vulnerability scanning, and automated remediation. Support ITGC, audit, and regulatory requirements by implementing controls, monitoring, and evidence collection for cloud environments. Respond to security incidents, perform root cause analysis, and drive continuous improvement. Monitoring, Observability & Cost Optimization: Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor, GCP Operations Suite, AWS CloudWatch, Prometheus, Grafana). Analyse resource utilization, optimise for performance and cost, and implement automated scaling and rightsizing. Produce dashboards and reports for operational and business stakeholders. Lead incident response for cloud infrastructure issues, including root cause analysis and post-mortem documentation Develop and test disaster recovery and business continuity plans for critical workloads. What you'll bring You're an experienced Cloud Engineer with advanced hands-on experience with Azure, GCP and Terraform, including multi-cloud and hybrid architectures. Also: IaC & Automation: Proficiency in Terraform, CloudFormation, Ansible, and scripting languages (Python, Bash, PowerShell) CI/CD & DevOps: Strong knowledge of CI/CD tools, containerization (Docker, Kubernetes), and orchestration Security: Solid understanding of cloud security frameworks, IAM, encryption, vulnerability management, and compliance (ISO, NIST, CIS) Networking: Expertise in cloud networking, VPNs, load balancers, DNS, CDN, and hybrid connectivity Monitoring & Observability: Experience with cloud-native and open-source monitoring, logging, and alerting tools Certifications: Azure Solutions Architect, GCP Professional Cloud Architect. Experience with policy-as-code, GitOps, and advanced automation frameworks. Exposure to AI/ML workloads, serverless architectures, and cloud cost management tools. Security clearance This role is subject to National Security Vetting (NSV). Candidates must be eligible to obtain and maintain Security Clearance (SC) throughout their employment. For further information, visit (UK Security Vetting: Clearance Levels). What we offer Market-leading double-match pension (up to 12% company contribution) Annual performance bonus up to 6% Access to the Tusker salary sacrifice car scheme 10x salary life assurance and income protection Flexible benefits including healthcare, dental, and technology options Family-friendly policies, wellbeing support, and professional development opportunities Inclusive recruitment We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond. National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant.
Cloud Operations Engineer
Mimecast Services Ltd
Cloud Operations Engineer Overview At Mimecast, we operate at scale-protecting billions of emails daily across a global hybrid-cloud infrastructure. If you're passionate about reliability, automation, and solving complex challenges in mission-critical environments, this is the opportunity for you. Why Join Us "This is a hands-on role in a team responsible for ensuring Mimecast's Hybrid Cloud infrastructure remains secure, resilient, and scalable. You'll work with cutting-edge technologies like Kubernetes, AWS, and Infrastructure-as-Code, all while collaborating with a supportive and talented team. If you're excited about making a real impact and growing your career in our Cloud Platform Team, I'd love to hear from you." - Hiring Manager, Cloud Platform AI-First Engineering at Mimecast Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. We're looking for leaders who don't just use AI tools but champion their adoption and establish new ways of working. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management. Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide. What You'll Do: Ensure platform reliability : Configure and maintain infrastructure to ensure optimal performance, security, and availability. Manage containerization platforms : Operate and improve Kubernetes and AWS EKS to support Mimecast's microservices architecture. Automate infrastructure : Build reusable Infrastructure-as-Code (IaC) and automation to standardize infrastructure provisioning and deployment processes. Troubleshoot and resolve issues : Identify and resolve infrastructure issues across Linux and Kubernetes systems in a hybrid-cloud environment, minimizing downtime. Enhance security : Strengthen the security posture of infrastructure configurations, aligning with the latest cybersecurity standards. Improve processes : Collaborate with the team to continuously refine operational processes and documentation. Maintain observability tools : Manage and operate monitoring and observability tools like Graphite, Prometheus, Grafana, Elastic, Nagios, and LogScale. Support engineering teams : Provide exceptional support to internal Product and Engineering teams, meeting their requirements for the Mimecast Cloud Platform. Participate in on-call rotations : Support the team by participating in on-call rotations and performing out-of-hours maintenance as necessary. What You'll Bring: Technical expertise : Experience in roles such as Site Reliability Engineer (SRE), Platform Engineer, Cloud Operations, or Sys Admin. Kubernetes proficiency : Strong hands-on experience with Kubernetes (k8s) and containerization in production environments. Linux expertise : Proficiency in maintaining and troubleshooting Linux operating systems and distributed systems at scale. Infrastructure knowledge : Solid understanding of core infrastructure services such as DNS, Identity Management, load balancers, and web servers. Networking basics : Foundational knowledge of computer networking. IaC and scripting : Experience with Infrastructure-as-Code tools like Terraform/CloudFormation and configuration management tools like Puppet. Proficiency in at least one programming or scripting language. Proactive problem-solver : A proactive attitude with a willingness to take on new challenges, deliver results, and learn new technologies quickly. Collaboration skills : Outstanding communication and social skills, with the ability to connect with others and problem-solve effectively. Why This Role: Global impact : Join a cybersecurity company operating at genuine global scale, protecting organizations and their people. Engineering excellence : Be part of a Cloud Platform organization that values automation, reliability, and doing things properly. Competitive rewards : Enjoy competitive compensation as part of a broader total rewards package, including benefits and wellbeing programs. Career growth : Access opportunities to develop expertise in hybrid-cloud infrastructure, Kubernetes, and automation, with clear paths to senior engineering roles. Collaborative culture : Work alongside experienced engineers and leaders who invest in your development. Career Growth Opportunities Develop deep expertise in hybrid-cloud infrastructure, Kubernetes, and automation. Build strong Infrastructure-as-Code and automation skills in a production environment that demands them. Grow into senior engineering or team lead roles within Cloud Platform. Work alongside experienced engineers and leaders who are committed to your development. Manager's Working Style & Team's Purpose The Site Reliability Engineering team exists to ensure the reliability and resiliency of Mimecast's Hybrid Cloud infrastructure. The team's purpose is to deliver a platform that is secure, performant, and scalable, enabling Product and Engineering teams to innovate faster and deliver more value to customers. Day-to-day, you'll work in a collaborative environment, tackling complex challenges and contributing to the continuous improvement of Mimecast's infrastructure. The expectation is hands-on technical credibility combined with a proactive approach to problem-solving and teamwork. Join our Cloud Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is £64,000 £96,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course. We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
27/07/2026
Full time
Cloud Operations Engineer Overview At Mimecast, we operate at scale-protecting billions of emails daily across a global hybrid-cloud infrastructure. If you're passionate about reliability, automation, and solving complex challenges in mission-critical environments, this is the opportunity for you. Why Join Us "This is a hands-on role in a team responsible for ensuring Mimecast's Hybrid Cloud infrastructure remains secure, resilient, and scalable. You'll work with cutting-edge technologies like Kubernetes, AWS, and Infrastructure-as-Code, all while collaborating with a supportive and talented team. If you're excited about making a real impact and growing your career in our Cloud Platform Team, I'd love to hear from you." - Hiring Manager, Cloud Platform AI-First Engineering at Mimecast Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools across all facets of engineering, from code development to testing, documentation, and operations. We're looking for leaders who don't just use AI tools but champion their adoption and establish new ways of working. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management. Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide. What You'll Do: Ensure platform reliability : Configure and maintain infrastructure to ensure optimal performance, security, and availability. Manage containerization platforms : Operate and improve Kubernetes and AWS EKS to support Mimecast's microservices architecture. Automate infrastructure : Build reusable Infrastructure-as-Code (IaC) and automation to standardize infrastructure provisioning and deployment processes. Troubleshoot and resolve issues : Identify and resolve infrastructure issues across Linux and Kubernetes systems in a hybrid-cloud environment, minimizing downtime. Enhance security : Strengthen the security posture of infrastructure configurations, aligning with the latest cybersecurity standards. Improve processes : Collaborate with the team to continuously refine operational processes and documentation. Maintain observability tools : Manage and operate monitoring and observability tools like Graphite, Prometheus, Grafana, Elastic, Nagios, and LogScale. Support engineering teams : Provide exceptional support to internal Product and Engineering teams, meeting their requirements for the Mimecast Cloud Platform. Participate in on-call rotations : Support the team by participating in on-call rotations and performing out-of-hours maintenance as necessary. What You'll Bring: Technical expertise : Experience in roles such as Site Reliability Engineer (SRE), Platform Engineer, Cloud Operations, or Sys Admin. Kubernetes proficiency : Strong hands-on experience with Kubernetes (k8s) and containerization in production environments. Linux expertise : Proficiency in maintaining and troubleshooting Linux operating systems and distributed systems at scale. Infrastructure knowledge : Solid understanding of core infrastructure services such as DNS, Identity Management, load balancers, and web servers. Networking basics : Foundational knowledge of computer networking. IaC and scripting : Experience with Infrastructure-as-Code tools like Terraform/CloudFormation and configuration management tools like Puppet. Proficiency in at least one programming or scripting language. Proactive problem-solver : A proactive attitude with a willingness to take on new challenges, deliver results, and learn new technologies quickly. Collaboration skills : Outstanding communication and social skills, with the ability to connect with others and problem-solve effectively. Why This Role: Global impact : Join a cybersecurity company operating at genuine global scale, protecting organizations and their people. Engineering excellence : Be part of a Cloud Platform organization that values automation, reliability, and doing things properly. Competitive rewards : Enjoy competitive compensation as part of a broader total rewards package, including benefits and wellbeing programs. Career growth : Access opportunities to develop expertise in hybrid-cloud infrastructure, Kubernetes, and automation, with clear paths to senior engineering roles. Collaborative culture : Work alongside experienced engineers and leaders who invest in your development. Career Growth Opportunities Develop deep expertise in hybrid-cloud infrastructure, Kubernetes, and automation. Build strong Infrastructure-as-Code and automation skills in a production environment that demands them. Grow into senior engineering or team lead roles within Cloud Platform. Work alongside experienced engineers and leaders who are committed to your development. Manager's Working Style & Team's Purpose The Site Reliability Engineering team exists to ensure the reliability and resiliency of Mimecast's Hybrid Cloud infrastructure. The team's purpose is to deliver a platform that is secure, performant, and scalable, enabling Product and Engineering teams to innovate faster and deliver more value to customers. Day-to-day, you'll work in a collaborative environment, tackling complex challenges and contributing to the continuous improvement of Mimecast's infrastructure. The expectation is hands-on technical credibility combined with a proactive approach to problem-solving and teamwork. Join our Cloud Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements. Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge! Our Hybrid Model: We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person: Fosters a culture of collaboration, communication, performance and learning. Drives innovation and creativity within and between teams. Introduces employees to priorities outside of their immediate realm. Ensures important interpersonal relationships and connections with one another and our community! The base salary range for this position is £64,000 £96,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course. We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
Software Engineer, RL Data
United States Digital Space LLC
About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
26/07/2026
Full time
About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
DevOps Engineer, Studios
World Wrestling Entertainment, Inc.
Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. DevOps Engineer Job Description Who We Are IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. IMG's Technology team is looking for an experienced DevOps Engineer to support the design, implementation, and ongoing operation of scalable, secure, and highly available infrastructure and delivery pipelines across our digital and broadcast platforms. The successful candidate will play a key role in enabling continuous delivery, improving system reliability, and supporting high-profile clients and live event services, ensuring optimal performance and resilience across all environments. Key Responsibilities and Accountabilities Design, build, and maintain scalable cloud infrastructure to support production and development environments. Implement and manage CI/CD pipelines to enable efficient, reliable software delivery across multiple teams. Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform, CloudFormation, or similar. Monitor system performance, availability, and reliability using observability tools such as Prometheus, Grafana, and ELK stack. Ensure high availability and disaster recovery strategies are in place and tested regularly. Collaborate closely with development, QA, and operations teams to streamline deployment processes and improve system performance. Act as a point of escalation for production incidents, providing rapid troubleshooting and resolution. Implement and enforce security best practices across infrastructure, pipelines, and applications. Optimise system performance and cost-efficiency across cloud environments. Document infrastructure, processes, and operational procedures clearly and consistently. Continuously identify opportunities for automation and operational improvements. Support live and critical event operations where system uptime and responsiveness are essential. Communicate effectively with stakeholders, ensuring visibility of issues, risks, and improvements. Knowledge and Experience Proven experience in a DevOps, Site Reliability Engineering, or similar role. Strong knowledge of all Operating systems, such as Linux distributions. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Hands on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps/Bitbucket. Strong scripting skills in Python, Bash, Ansible, or similar. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Familiarity with monitoring, logging and alerting tools. Understanding of networking, security, and system architecture principles. Experience working in high-availability or live production environments is highly desirable. Knowledge of version control systems such as Git. A technical and/or engineering background with a strong interest in automation and cloud technologies. Strong problem solving skills and the ability to work under pressure in critical situations. Excellent communication and collaboration skills. Ability to manage priorities across multiple projects and environments. Proactive mindset with a focus on continuous improvement. Working Conditions This role is based at our facility in Stockley Park, Uxbridge, with hybrid working options where applicable. You may be required to work unsociable hours, including occasional weekends or on call rotations, to support live operations and critical systems. Occasional travel may be required depending on project and client needs. TKO EEO Statement TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use. TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use. IMG IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and event management. It powers growth of revenues, fanbases and IP for more than 250 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, World Rugby, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment
26/07/2026
Full time
Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. DevOps Engineer Job Description Who We Are IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. IMG's Technology team is looking for an experienced DevOps Engineer to support the design, implementation, and ongoing operation of scalable, secure, and highly available infrastructure and delivery pipelines across our digital and broadcast platforms. The successful candidate will play a key role in enabling continuous delivery, improving system reliability, and supporting high-profile clients and live event services, ensuring optimal performance and resilience across all environments. Key Responsibilities and Accountabilities Design, build, and maintain scalable cloud infrastructure to support production and development environments. Implement and manage CI/CD pipelines to enable efficient, reliable software delivery across multiple teams. Automate infrastructure provisioning using Infrastructure as Code tools such as Terraform, CloudFormation, or similar. Monitor system performance, availability, and reliability using observability tools such as Prometheus, Grafana, and ELK stack. Ensure high availability and disaster recovery strategies are in place and tested regularly. Collaborate closely with development, QA, and operations teams to streamline deployment processes and improve system performance. Act as a point of escalation for production incidents, providing rapid troubleshooting and resolution. Implement and enforce security best practices across infrastructure, pipelines, and applications. Optimise system performance and cost-efficiency across cloud environments. Document infrastructure, processes, and operational procedures clearly and consistently. Continuously identify opportunities for automation and operational improvements. Support live and critical event operations where system uptime and responsiveness are essential. Communicate effectively with stakeholders, ensuring visibility of issues, risks, and improvements. Knowledge and Experience Proven experience in a DevOps, Site Reliability Engineering, or similar role. Strong knowledge of all Operating systems, such as Linux distributions. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Hands on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps/Bitbucket. Strong scripting skills in Python, Bash, Ansible, or similar. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Familiarity with monitoring, logging and alerting tools. Understanding of networking, security, and system architecture principles. Experience working in high-availability or live production environments is highly desirable. Knowledge of version control systems such as Git. A technical and/or engineering background with a strong interest in automation and cloud technologies. Strong problem solving skills and the ability to work under pressure in critical situations. Excellent communication and collaboration skills. Ability to manage priorities across multiple projects and environments. Proactive mindset with a focus on continuous improvement. Working Conditions This role is based at our facility in Stockley Park, Uxbridge, with hybrid working options where applicable. You may be required to work unsociable hours, including occasional weekends or on call rotations, to support live operations and critical systems. Occasional travel may be required depending on project and client needs. TKO EEO Statement TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use. TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use. IMG IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and event management. It powers growth of revenues, fanbases and IP for more than 250 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, World Rugby, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment

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