Key Responsibilities: Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. Manage and lead prototyping and research activity as required to realise the best solutions. Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. Author, review and contribute to technical documentation. Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. Strong critical thinker with problem solving aptitude. A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). Exposure to infrastructure-as-code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ
22/07/2026
Full time
Key Responsibilities: Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. Manage and lead prototyping and research activity as required to realise the best solutions. Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. Author, review and contribute to technical documentation. Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. Strong critical thinker with problem solving aptitude. A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). Exposure to infrastructure-as-code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports - we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real time sports data, 3D graphics, and AI driven storytelling. If you're passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. What Your Day Will Look Like As a Team Architect (Machine Learning Focus), you'll act as the specialist technical authority within your discipline - helping shape the architecture, technical direction, and implementation strategy behind our ML driven products and platforms. You'll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You'll guide technical implementation across areas such as trajectory prediction, motion synthesis, real time data processing, 2D to 3D geometry pipelines, and cloud hosted ML services. You'll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You'll fit right in if you: Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. Stay hands on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. Collaborate naturally You can communicate technical approaches clearly across disciplines and with non technical stakeholders. Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. Your Background Strong experience in machine learning engineering, software architecture, or technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical approaches Ability to communicate technical solutions clearly to technical and non technical audiences Experience collaborating across multidisciplinary engineering teams Willingness to work on site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football or team sports Why Level Up Your Career at Beyond Sports Fast moving, creative, and technically ambitious - that's our world. High impact: Your work helps shape how millions experience sports globally Technical ownership: Influence implementation strategy, architecture, and engineering standards Hands on innovation: Build POCs and help define the future of our ML systems Constant learning: From machine learning research to real time 3D systems, there's always something new Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it's a great place to work: 25 days of paid leave per year Pension program Lunch included Gym card - Alkmaar Only Fresh fruit, great coffee, and Friday drinks Bi monthly team outings Office games like FIFA, chess, and ping pong Sony Benefits and much more! Ready to Build the Future of Sports? If you're excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports - we'd love to hear from you. At Beyond Sports, you won't just design technical solutions. You'll help bring sports to life.
21/07/2026
Full time
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports Are you excited about machine learning, technical architecture, and building the intelligent systems powering the future of sports entertainment? At Beyond Sports, we don't just visualize sports - we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real time sports data, 3D graphics, and AI driven storytelling. If you're passionate about machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move. What Your Day Will Look Like As a Team Architect (Machine Learning Focus), you'll act as the specialist technical authority within your discipline - helping shape the architecture, technical direction, and implementation strategy behind our ML driven products and platforms. You'll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands on technical leadership. One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You'll guide technical implementation across areas such as trajectory prediction, motion synthesis, real time data processing, 2D to 3D geometry pipelines, and cloud hosted ML services. You'll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You'll fit right in if you: Love applied machine learning and technical architecture You enjoy designing scalable systems and turning complex technical ideas into practical solutions. Think in systems and implementation strategy You naturally balance innovation, scalability, maintainability, and delivery requirements. Stay hands on technically You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges. Collaborate naturally You can communicate technical approaches clearly across disciplines and with non technical stakeholders. Care about quality and reusability You value maintainable systems, reusable tooling, and strong engineering standards. Stay curious You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices. Your Background Strong experience in machine learning engineering, software architecture, or technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical approaches Ability to communicate technical solutions clearly to technical and non technical audiences Experience collaborating across multidisciplinary engineering teams Willingness to work on site in our Alkmaar office Nice to Have (But Not Required) Experience deploying ML models into production environments Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring Experience with AWS, Azure, or GCP Understanding of real time systems, motion synthesis, or 3D graphics pipelines Experience with Unity or other game engines Interest in football or team sports Why Level Up Your Career at Beyond Sports Fast moving, creative, and technically ambitious - that's our world. High impact: Your work helps shape how millions experience sports globally Technical ownership: Influence implementation strategy, architecture, and engineering standards Hands on innovation: Build POCs and help define the future of our ML systems Constant learning: From machine learning research to real time 3D systems, there's always something new Real collaboration: Engineers, artists, ML specialists, and product teams working side by side And we make sure it's a great place to work: 25 days of paid leave per year Pension program Lunch included Gym card - Alkmaar Only Fresh fruit, great coffee, and Friday drinks Bi monthly team outings Office games like FIFA, chess, and ping pong Sony Benefits and much more! Ready to Build the Future of Sports? If you're excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports - we'd love to hear from you. At Beyond Sports, you won't just design technical solutions. You'll help bring sports to life.
Technical Team Lead Location: Broxbourne, Essex (site-based, with a UK driving licence required for travel between sites/client visits) Job Type: Full-time, Permanent Sector: IT Solutions & Cyber Security (Managed Service Provider) Reports To: Head of Service Delivery / Operations Manager About the Company Our client is a market-leading IT Solutions and Cyber Security provider, delivering managed IT and security services to a growing base of business customers. Following a sustained period of growth, they are expanding their service delivery team and are looking for an experienced Technical Team Lead to help shape and strengthen their Service Desk function. This is a confidential search; the client's identity will be disclosed to shortlisted candidates. The Role As Technical Team Lead, you will take day-to-day ownership of the Service Desk, leading and developing a team of engineers while acting as the senior technical escalation point for complex 2nd and 3rd line issues. You'll balance hands-on technical problem-solving with team leadership, and you'll play an active role in wider infrastructure and client projects as the business continues to grow. Key Responsibilities Lead, mentor and develop the Service Desk team, driving performance, ticket quality and SLA adherence. Act as the senior escalation point for complex 2nd and 3rd line technical issues, taking ownership through to resolution. Support, coach and upskill engineers, carrying out call/ticket quality reviews and identifying training needs. Monitor ticket queues, workloads and priorities to ensure efficient allocation and timely resolution. Contribute to and take part in client infrastructure projects, migrations and technology rollouts. Assist with the design, implementation and maintenance of M365, Azure and networking environments for clients. Identify recurring issues and drive proactive, root-cause fixes and process improvements. Maintain accurate documentation, including knowledge base articles and client-specific procedures. Liaise with clients directly where required, including occasional on-site visits. Support out-of-hours or on-call cover as part of a rota, where applicable. Skills & Experience Required Previous experience within an MSP (Managed Service Provider) environment is essential. Proven experience leading, supervising or mentoring a technical team, or ready to take the next step into a lead role. Strong working knowledge of Microsoft 365 (Exchange Online, Teams, SharePoint, Intune). Solid experience with Microsoft Azure (administration, virtual networks, Entra ID/Azure AD). Good understanding of networking fundamentals (routing, switching, firewalls, VPNs, DNS/DHCP). Experience with Windows Server administration, Active Directory and virtualisation platforms. Awareness of core cyber security principles and best practice (endpoint protection, patching, backup/DR). Excellent troubleshooting skills across 2nd and 3rd line technical issues. Strong communication skills, with the ability to explain technical issues clearly to both colleagues and clients. A full, valid UK driving licence is required for this role. What's On Offer A key leadership role within a growing, market-leading IT and cyber security provider. Genuine progression opportunities as the business continues to scale. Exposure to varied projects across M365, Azure, networking and security. Supportive, close-knit team environment with investment in ongoing training and certifications. Competitive salary, dependent on experience.
21/07/2026
Full time
Technical Team Lead Location: Broxbourne, Essex (site-based, with a UK driving licence required for travel between sites/client visits) Job Type: Full-time, Permanent Sector: IT Solutions & Cyber Security (Managed Service Provider) Reports To: Head of Service Delivery / Operations Manager About the Company Our client is a market-leading IT Solutions and Cyber Security provider, delivering managed IT and security services to a growing base of business customers. Following a sustained period of growth, they are expanding their service delivery team and are looking for an experienced Technical Team Lead to help shape and strengthen their Service Desk function. This is a confidential search; the client's identity will be disclosed to shortlisted candidates. The Role As Technical Team Lead, you will take day-to-day ownership of the Service Desk, leading and developing a team of engineers while acting as the senior technical escalation point for complex 2nd and 3rd line issues. You'll balance hands-on technical problem-solving with team leadership, and you'll play an active role in wider infrastructure and client projects as the business continues to grow. Key Responsibilities Lead, mentor and develop the Service Desk team, driving performance, ticket quality and SLA adherence. Act as the senior escalation point for complex 2nd and 3rd line technical issues, taking ownership through to resolution. Support, coach and upskill engineers, carrying out call/ticket quality reviews and identifying training needs. Monitor ticket queues, workloads and priorities to ensure efficient allocation and timely resolution. Contribute to and take part in client infrastructure projects, migrations and technology rollouts. Assist with the design, implementation and maintenance of M365, Azure and networking environments for clients. Identify recurring issues and drive proactive, root-cause fixes and process improvements. Maintain accurate documentation, including knowledge base articles and client-specific procedures. Liaise with clients directly where required, including occasional on-site visits. Support out-of-hours or on-call cover as part of a rota, where applicable. Skills & Experience Required Previous experience within an MSP (Managed Service Provider) environment is essential. Proven experience leading, supervising or mentoring a technical team, or ready to take the next step into a lead role. Strong working knowledge of Microsoft 365 (Exchange Online, Teams, SharePoint, Intune). Solid experience with Microsoft Azure (administration, virtual networks, Entra ID/Azure AD). Good understanding of networking fundamentals (routing, switching, firewalls, VPNs, DNS/DHCP). Experience with Windows Server administration, Active Directory and virtualisation platforms. Awareness of core cyber security principles and best practice (endpoint protection, patching, backup/DR). Excellent troubleshooting skills across 2nd and 3rd line technical issues. Strong communication skills, with the ability to explain technical issues clearly to both colleagues and clients. A full, valid UK driving licence is required for this role. What's On Offer A key leadership role within a growing, market-leading IT and cyber security provider. Genuine progression opportunities as the business continues to scale. Exposure to varied projects across M365, Azure, networking and security. Supportive, close-knit team environment with investment in ongoing training and certifications. Competitive salary, dependent on experience.
Barclays Knutsford is seeking a skilled Infrastructure Engineer to build and maintain infrastructure platforms and products supporting applications and data systems. You will leverage hardware, software, networks, and cloud computing to ensure reliability, scalability, and security. You will design, implement, and operate cloud services at scale in AWS, manage incidents, automate tasks, and collaborate with product managers and engineers to meet business goals through data-driven decisions.
21/07/2026
Full time
Barclays Knutsford is seeking a skilled Infrastructure Engineer to build and maintain infrastructure platforms and products supporting applications and data systems. You will leverage hardware, software, networks, and cloud computing to ensure reliability, scalability, and security. You will design, implement, and operate cloud services at scale in AWS, manage incidents, automate tasks, and collaborate with product managers and engineers to meet business goals through data-driven decisions.
Company DescriptionDepop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.Founded in 2011, Depop's diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit aim to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to is looking for an experienced Senior Backend Software Engineer to join us within our Platform Pillar, working on the team that owns and evolves Depop's core APIs and services.The Platform Pillar is part of Depop's enablement function, responsible for building and running the internal foundations that help Depop engineers ship software safely, confidently, and efficiently.Rather than focusing primarily on user-facing features, Platform teams create and maintain the systems, tools, infrastructure, and engineering capabilities that other teams rely on every day.This team owns and manages Depop's core application, which sits at the heart of the platform and is responsible for managing critical user and product data. It is a foundational part of Depop's technology estate, supporting many of the experiences used by buyers, sellers, and internal teams across the business.The RoleThis is a unique opportunity to help shape the technical direction of one of Depop's most important backend systems.You'll be working on highly impactful platform problems, improving scalability and reliability, reducing technical risk, and helping define how Depop's core systems evolve for years to come.You'll be building and improving backend services, influencing architectural direction, and working with a collaborative, supportive team that values good engineering and good people in equal measure.ResponsibilitiesAs a Senior Backend Engineer within this team, you can expect to:Work closely with Engineering Managers, Product Managers, Platform Engineers, Security Engineers, Data Engineers, and other backend teams to understand problems and design effective solutions.Produce high-quality code that is well-structured, reliable, maintainable, and simple to understand, supporting systems used by millions of Depop users.Take ownership of platform and product development, from technical discovery and problem definition through to the breakdown of work and implementation.Contribute to high-level architectural thinking, helping to set the long-term technical direction for Depop's core application and associated platform services.Improve the scalability, reliability, observability, and operational safety of critical backend systems.Work on foundational platform capabilities, including core backend systems, service-to-service communication, authentication, infrastructure architecture, messaging, database scalability, deployment tooling, and internal engineering enablement.Help evolve Depop's core application so it remains safe, performant, and fit for future product and engineering needs.Communicate clearly with stakeholders across engineering, product, security, data, and infrastructure, translating technical complexity into shared understanding and actionable plans.Support applications end to end, including production incident management, debugging, monitoring, and continuous improvement.Embrace agile methodologies, user-centred thinking, and a pragmatic approach to solving real business and engineering problems.Engage in a culture of continuous improvement by participating in blameless post-mortems, architecture reviews, engineering guild sessions, and technical strategy discussions.Collaborate daily with fellow engineers in a cross-functional environment to solve complex problems and write high-quality code.Mentor and support the growth of colleagues, identifying opportunities to share knowledge and strengthen team skill sets.Own your code, workflows, services, and data through their entire lifecycle.Must HavesSolid software engineering experience, with strong evidence of the ability to learn and work effectively in the team's Scala and Python stack.A strong backend engineering background, including experience designing, building, testing, and operating production services.Willingness to work across multiple paradigms and languages, including backend, platform, and data-oriented work.Strong technical and non-technical communication skills, with the ability to explain complex technical topics clearly to different audiences.Proficiency in testing solutions at different levels, including unit and integration testing.Experience with relational or non-relational databases.Experience with Kubernetes or similar container orchestration technologies.Experience working on production systems where reliability, scalability, and maintainability are critical.Ability to proactively identify and solve complex technical problems independently, while knowing when to seek guidance or collaborate with peers.Desired ExperienceExperience writing high-quality backend code in Scala, TypeScript, Python, or another JVM language. We are looking for a polyglot engineer who is motivated by the problem being solved, not just the language being used.Experience working with large, business-critical backend applications or platform systems.Experience with databases such as PostgreSQL, MySQL, or DynamoDB.Experience building scalable web applications or backend systems handling significant traffic and data volume.Experience improving reliability, scalability, observability, and operational maturity in production systems.Experience working in a DevOps culture, including CI/CD pipelines, observability, incident response, and production ownership.Experience working on platform capabilities that support other engineering teams, such as shared services, deployment tooling, infrastructure abstractions, or internal developer workflows.A product-oriented and platform-minded approach, with a focus on solving real engineering and business problems rather than over-engineering solutions.Bonus PointsExperience with the Play Framework.Experience working on platform engineering, internal developer platforms, or core infrastructure systems.Experience with large monoliths, service extraction, or modernisation of legacy backend systems.Experience with eCommerce or marketplace platforms.Experience with event-driven architectures, preferably using Kafka.Experience using production AWS infrastructure, ideally with Terraform.Experience with data engineering.Experience with service-to-service authentication, internal platform security, or cloud cost management.Experience enabling AI platform capabilities or building guardrails for safe AI adoption.Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterFlexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Development discussions to support continuous learning and professional growth.Upskilling our employees with company wide training workshops, materials and resourcesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of full base salary with Aviva
21/07/2026
Full time
Company DescriptionDepop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.Founded in 2011, Depop's diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit aim to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to is looking for an experienced Senior Backend Software Engineer to join us within our Platform Pillar, working on the team that owns and evolves Depop's core APIs and services.The Platform Pillar is part of Depop's enablement function, responsible for building and running the internal foundations that help Depop engineers ship software safely, confidently, and efficiently.Rather than focusing primarily on user-facing features, Platform teams create and maintain the systems, tools, infrastructure, and engineering capabilities that other teams rely on every day.This team owns and manages Depop's core application, which sits at the heart of the platform and is responsible for managing critical user and product data. It is a foundational part of Depop's technology estate, supporting many of the experiences used by buyers, sellers, and internal teams across the business.The RoleThis is a unique opportunity to help shape the technical direction of one of Depop's most important backend systems.You'll be working on highly impactful platform problems, improving scalability and reliability, reducing technical risk, and helping define how Depop's core systems evolve for years to come.You'll be building and improving backend services, influencing architectural direction, and working with a collaborative, supportive team that values good engineering and good people in equal measure.ResponsibilitiesAs a Senior Backend Engineer within this team, you can expect to:Work closely with Engineering Managers, Product Managers, Platform Engineers, Security Engineers, Data Engineers, and other backend teams to understand problems and design effective solutions.Produce high-quality code that is well-structured, reliable, maintainable, and simple to understand, supporting systems used by millions of Depop users.Take ownership of platform and product development, from technical discovery and problem definition through to the breakdown of work and implementation.Contribute to high-level architectural thinking, helping to set the long-term technical direction for Depop's core application and associated platform services.Improve the scalability, reliability, observability, and operational safety of critical backend systems.Work on foundational platform capabilities, including core backend systems, service-to-service communication, authentication, infrastructure architecture, messaging, database scalability, deployment tooling, and internal engineering enablement.Help evolve Depop's core application so it remains safe, performant, and fit for future product and engineering needs.Communicate clearly with stakeholders across engineering, product, security, data, and infrastructure, translating technical complexity into shared understanding and actionable plans.Support applications end to end, including production incident management, debugging, monitoring, and continuous improvement.Embrace agile methodologies, user-centred thinking, and a pragmatic approach to solving real business and engineering problems.Engage in a culture of continuous improvement by participating in blameless post-mortems, architecture reviews, engineering guild sessions, and technical strategy discussions.Collaborate daily with fellow engineers in a cross-functional environment to solve complex problems and write high-quality code.Mentor and support the growth of colleagues, identifying opportunities to share knowledge and strengthen team skill sets.Own your code, workflows, services, and data through their entire lifecycle.Must HavesSolid software engineering experience, with strong evidence of the ability to learn and work effectively in the team's Scala and Python stack.A strong backend engineering background, including experience designing, building, testing, and operating production services.Willingness to work across multiple paradigms and languages, including backend, platform, and data-oriented work.Strong technical and non-technical communication skills, with the ability to explain complex technical topics clearly to different audiences.Proficiency in testing solutions at different levels, including unit and integration testing.Experience with relational or non-relational databases.Experience with Kubernetes or similar container orchestration technologies.Experience working on production systems where reliability, scalability, and maintainability are critical.Ability to proactively identify and solve complex technical problems independently, while knowing when to seek guidance or collaborate with peers.Desired ExperienceExperience writing high-quality backend code in Scala, TypeScript, Python, or another JVM language. We are looking for a polyglot engineer who is motivated by the problem being solved, not just the language being used.Experience working with large, business-critical backend applications or platform systems.Experience with databases such as PostgreSQL, MySQL, or DynamoDB.Experience building scalable web applications or backend systems handling significant traffic and data volume.Experience improving reliability, scalability, observability, and operational maturity in production systems.Experience working in a DevOps culture, including CI/CD pipelines, observability, incident response, and production ownership.Experience working on platform capabilities that support other engineering teams, such as shared services, deployment tooling, infrastructure abstractions, or internal developer workflows.A product-oriented and platform-minded approach, with a focus on solving real engineering and business problems rather than over-engineering solutions.Bonus PointsExperience with the Play Framework.Experience working on platform engineering, internal developer platforms, or core infrastructure systems.Experience with large monoliths, service extraction, or modernisation of legacy backend systems.Experience with eCommerce or marketplace platforms.Experience with event-driven architectures, preferably using Kafka.Experience using production AWS infrastructure, ideally with Terraform.Experience with data engineering.Experience with service-to-service authentication, internal platform security, or cloud cost management.Experience enabling AI platform capabilities or building guardrails for safe AI adoption.Additional InformationHealth + Mental WellbeingPMI and cash plan healthcare access with BupaSubsidised counselling and coaching with Self SpaceCycle to Work scheme with options from Evans or the Green Commute InitiativeEmployee Assistance Programme (EAP) for 24/7 confidential supportMental Health First Aiders across the business for support and signpostingWork/Life Balance:25 days annual leave with option to carry over up to 5 days1 company-wide day off per quarterFlexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependantAll offices are dog-friendlyAbility to work abroad for 4 weeks per year in UK tax treaty countriesFamily Life:18 weeks of paid parental leave for full-time regular employeesIVF leave, shared parental leave, and paid emergency parent/carer leaveLearn + Grow:Development discussions to support continuous learning and professional growth.Upskilling our employees with company wide training workshops, materials and resourcesYour Future:Life Insurance (financial compensation of 3x your salary)Pension matching up to 6% of full base salary with Aviva
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
21/07/2026
Full time
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
About H H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job. The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable. Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services. Key Responsibilities Designing and managing the infrastructure to support Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. Product Engineering efforts on H Company's agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem). Setup and maintain observability and monitoring strategies. Requirements MUST HAVE Observability and monitoring (Datadog, Prometheus, Grafana, ) Good knowledge of a modern programming language (ideally Python or JS/Typescript) NICE TO HAVE ML Ops or Data Engineering Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) Containerization and orchestration tools (Docker, Kubernetes, ) Infrastructure as code (CDK, Terraform, ) CICD management experience (Github Actions, Gitlab CI, TeamCity, ). Location Paris or London. This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment Enjoy a competitive salary Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.
21/07/2026
Full time
About H H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world's best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job. The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable. Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services. Key Responsibilities Designing and managing the infrastructure to support Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. Product Engineering efforts on H Company's agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem). Setup and maintain observability and monitoring strategies. Requirements MUST HAVE Observability and monitoring (Datadog, Prometheus, Grafana, ) Good knowledge of a modern programming language (ideally Python or JS/Typescript) NICE TO HAVE ML Ops or Data Engineering Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) Containerization and orchestration tools (Docker, Kubernetes, ) Infrastructure as code (CDK, Terraform, ) CICD management experience (Github Actions, Gitlab CI, TeamCity, ). Location Paris or London. This role is hybrid, and you are expected to be in the office 3 days a week on average. What We Offer Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment Enjoy a competitive salary Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.
Lloyds Bank plc is seeking a Lead Google Cloud Platform Engineer to modernise and manage enterprise scale GCP infrastructure across Bristol, Leeds, Manchester or Halifax. The role is hybrid with two days per week in the office, offering a substantial salary and benefits package. You will design secure, scalable cloud platforms, develop IaC, and drive CI/CD pipelines while mentoring engineers and collaborating with security and software teams. Apply via our careers email.
21/07/2026
Full time
Lloyds Bank plc is seeking a Lead Google Cloud Platform Engineer to modernise and manage enterprise scale GCP infrastructure across Bristol, Leeds, Manchester or Halifax. The role is hybrid with two days per week in the office, offering a substantial salary and benefits package. You will design secure, scalable cloud platforms, develop IaC, and drive CI/CD pipelines while mentoring engineers and collaborating with security and software teams. Apply via our careers email.
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at The Role At Man Group, we run large Python research compute clusters. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards building scalable compute for research and software development to help identify and execute on investment opportunities. We are looking for a high-performing Senior Python Platform Engineer to build solutions that make use of the latest capabilities in compute infrastructure. This role is at the intersection of technology and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working in our Developer Platform team, you will build the core research platform and infrastructure used across Man Group. You will also partner with teams across the business to create APIs and frameworks that allow researchers and developers to augment, automate and transform our investment and operational workflows. Role Responsibilities Lead the design, build and maintenance of Man's core Python compute platform Partner with stakeholders in research, trading and technology, to design and build open-source cluster-compute technologies Be aware of and actively monitor the latest developments in applied cluster compute, particularly Python facing libraries and tools Identify and implement novel solutions - we take the best of what the open-source world has to offer and make it fit our needs, often contributing back to upstream projects Proactively engage with teams across the business to promote understanding and adoption of our compute cluster capabilities Advanced proficiency in Python, with extensive professional experience in building production applications and services Experience of modern cluster compute - Kubernetes, Spark, Hadoop Yarn, Ray, Airflow are some of the technologies we use Experience leading work in a formal software development environment alongside other engineers in a collaborative manner Strong experience building platforms on the Linux Operating System Self-organised with the ability to effectively manage time across multiple projects with competing business demands and priorities Strong interpersonal skills with the ability to establish and maintain a close working relationship with quantitative developers, researchers, and other stakeholders Advantageous Academic record including a degree with high mathematical / computing content, or equivalent commercial experience Experience with GPU and CPU optimization technologies (for example, NUMA architectures or GPU profiling techniques) Experience with C/C++, or other low-level or object-oriented languages Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual "Mankind" days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. As at 31 March 2026
21/07/2026
Full time
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at The Role At Man Group, we run large Python research compute clusters. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards building scalable compute for research and software development to help identify and execute on investment opportunities. We are looking for a high-performing Senior Python Platform Engineer to build solutions that make use of the latest capabilities in compute infrastructure. This role is at the intersection of technology and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working in our Developer Platform team, you will build the core research platform and infrastructure used across Man Group. You will also partner with teams across the business to create APIs and frameworks that allow researchers and developers to augment, automate and transform our investment and operational workflows. Role Responsibilities Lead the design, build and maintenance of Man's core Python compute platform Partner with stakeholders in research, trading and technology, to design and build open-source cluster-compute technologies Be aware of and actively monitor the latest developments in applied cluster compute, particularly Python facing libraries and tools Identify and implement novel solutions - we take the best of what the open-source world has to offer and make it fit our needs, often contributing back to upstream projects Proactively engage with teams across the business to promote understanding and adoption of our compute cluster capabilities Advanced proficiency in Python, with extensive professional experience in building production applications and services Experience of modern cluster compute - Kubernetes, Spark, Hadoop Yarn, Ray, Airflow are some of the technologies we use Experience leading work in a formal software development environment alongside other engineers in a collaborative manner Strong experience building platforms on the Linux Operating System Self-organised with the ability to effectively manage time across multiple projects with competing business demands and priorities Strong interpersonal skills with the ability to establish and maintain a close working relationship with quantitative developers, researchers, and other stakeholders Advantageous Academic record including a degree with high mathematical / computing content, or equivalent commercial experience Experience with GPU and CPU optimization technologies (for example, NUMA architectures or GPU profiling techniques) Experience with C/C++, or other low-level or object-oriented languages Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual "Mankind" days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. As at 31 March 2026
Summary The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server side systems, and the APIs for many Apple services. Description Apple Services Engineering infrastructure is BIG. Operating at our scale, across multiple geographically dispersed data centers and servicing hundreds of millions of users presents unique challenges. As an SRE at Apple, you'll need to solve these problems using data, teamwork, and your own expertise. SREs at Apple own the full infrastructure stack; from device driver performance debugging to content delivery network traffic management - our responsibilities are both broad and deep. ASE runs the majority of its systems on Linux. We run a mix of open source, vendor licensed, and internally developed tools to perform functions such as system configuration management, provisioning, software deployment, logging, and monitoring. You'll learn these tools and have opportunities to improve them. Our team is collaborative; we work closely with the development teams we support to deliver the best results for Apple. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face. Good ideas are heard and results are rewarded. Culturally we believe in a close partnership with our development teams and aim to design & build new services together. We're passionate about software and automation in SRE and develop a variety of tooling and infrastructure. Our services run on mixed & hybrid platforms. Responsibilities Create outstanding customer experience, and help developers write better code faster Troubleshoot complex distributed systems running on both bare metal and hypervisors Participate in code reviews and provide helpful and precise feedback Constantly evaluate and improve our own delivery processes within the team Evolve critical, foundational systems to provide next generation features at scale Minimum Qualifications Advanced experience with programming languages (Go, Python, Ruby, Bash) and a passion for designing and building reliable systems Strong sense of ownership and integrity demonstrated through clear communication and collaboration with a deep systems and infrastructure knowledge Advanced knowledge and hands on experience with source code and artifact management systems, CI/CD infrastructure (GitHub, Artifactory, Jenkins) Automation advocate - you truly believe in removing operation load with software Understanding of the Linux operating system, standard networking protocols, and components Preferred Qualifications Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment Hands on experience managing large numbers of diverse systems with configuration management or software delivery platforms (Puppet, Ansible) Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks (Grafana, Splunk) Excellent troubleshooting and problem solving skills, both with and without AI assistance At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
21/07/2026
Full time
Summary The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server side systems, and the APIs for many Apple services. Description Apple Services Engineering infrastructure is BIG. Operating at our scale, across multiple geographically dispersed data centers and servicing hundreds of millions of users presents unique challenges. As an SRE at Apple, you'll need to solve these problems using data, teamwork, and your own expertise. SREs at Apple own the full infrastructure stack; from device driver performance debugging to content delivery network traffic management - our responsibilities are both broad and deep. ASE runs the majority of its systems on Linux. We run a mix of open source, vendor licensed, and internally developed tools to perform functions such as system configuration management, provisioning, software deployment, logging, and monitoring. You'll learn these tools and have opportunities to improve them. Our team is collaborative; we work closely with the development teams we support to deliver the best results for Apple. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face. Good ideas are heard and results are rewarded. Culturally we believe in a close partnership with our development teams and aim to design & build new services together. We're passionate about software and automation in SRE and develop a variety of tooling and infrastructure. Our services run on mixed & hybrid platforms. Responsibilities Create outstanding customer experience, and help developers write better code faster Troubleshoot complex distributed systems running on both bare metal and hypervisors Participate in code reviews and provide helpful and precise feedback Constantly evaluate and improve our own delivery processes within the team Evolve critical, foundational systems to provide next generation features at scale Minimum Qualifications Advanced experience with programming languages (Go, Python, Ruby, Bash) and a passion for designing and building reliable systems Strong sense of ownership and integrity demonstrated through clear communication and collaboration with a deep systems and infrastructure knowledge Advanced knowledge and hands on experience with source code and artifact management systems, CI/CD infrastructure (GitHub, Artifactory, Jenkins) Automation advocate - you truly believe in removing operation load with software Understanding of the Linux operating system, standard networking protocols, and components Preferred Qualifications Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment Hands on experience managing large numbers of diverse systems with configuration management or software delivery platforms (Puppet, Ansible) Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks (Grafana, Splunk) Excellent troubleshooting and problem solving skills, both with and without AI assistance At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
21/07/2026
Full time
Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
21/07/2026
Full time
Position Overview At CreateFuture, the Senior Cloud Engineer is a vital individual contributor and a technical driving force within our delivery teams. You will work closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers within the Cloud capability. Furthermore, you will actively contribute to setting engineering standards that influence the whole CreateFuture organisation. Key Responsibilities High-Quality Execution: Proactively contribute to project teams by providing technical guidance, resolving complex technical blockages, supporting migration efforts and writing high-quality, spec-driven code. Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications and AI models. FinOps Standards: Embed automated cost-estimation tools into the standard CI/CD deployment pipelines, ensuring auto-shutdown policies and resource optimisation are configured by default. Consultancy & Client Alignment Client Advisory: Collaborate with diverse stakeholders, including tech leads, project managers, and enterprise architects, to ensure successful project delivery according to timelines and budgets. Commercial Growth: Have a growth mindset on projects, recognising potential operational bottlenecks or new requirements, and own communicating these throughout the team for new opportunities. Best Practice Champion: Establish best practice tools and processes within client environments, confidently challenging legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure as Code templates, and technical blogs. Culture and Feedback: Help foster an inclusive, collaborative, and psychologically safe team environment by providing timely, open, and honest technical feedback. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. Domain & Sector Experience Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, financial services, or banking, where zero trust security and strict compliance controls are mandatory is highly advantageous. Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we'll offer you: We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
Role Overview The HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape. This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future ready solutions that support Fortive's operating companies and HR functions globally. Core Technology Landscape Oracle HCM Suite Boomi Middleware ServiceNow HRSD Eightfold AI Platform LMS Solutions Integration APIs Power BI Reporting Oracle Analytics Key Responsibilities 1. HR Systems & Platform Architecture Own the end to end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms. Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud native, API first principles. Establish design standards, governance frameworks, and best practices across the HR tech portfolio. Partner with IT's Azure based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture. 2. Integration Architecture & Engineering Define and drive integration strategy across HR systems, moving from point to point patterns toward reusable, API first services. Lead architecture and hands on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform. Design scalable integration patterns - real time APIs, event driven integrations, and batch/file based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems. Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows. Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards. 3. AI Solutions & Automation Identify and deliver high value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI assisted case triage, talent insights, and conversational self service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible AI frameworks for HR use cases. 4. Data Architecture & Governance Design HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams. Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics). Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points. 5. Stakeholder Leadership & Collaboration Serve as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions. Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities. Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling. Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs. Qualifications Required 10-12 years of progressive experience in HR technology and enterprise systems architecture. Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules. Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations. Strong understanding of integration patterns, including REST and SOAP APIs, event driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants or AI driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Must be available to work within U.S. time zones (CST). Preferred Hands on experience with Eightfold AI or comparable talent intelligence platforms. Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar). Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines. Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC). Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products. Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA). What Success Looks Like In the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API first and reusable services, shipped at least two meaningful AI powered HR use cases into production, and established architectural standards that guide the broader HR engineering team. Fortive Corporation Overview Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating. Fortive: For you, for us, for growth. Equal Opportunity Employer Statement We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at .
21/07/2026
Full time
Role Overview The HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape. This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future ready solutions that support Fortive's operating companies and HR functions globally. Core Technology Landscape Oracle HCM Suite Boomi Middleware ServiceNow HRSD Eightfold AI Platform LMS Solutions Integration APIs Power BI Reporting Oracle Analytics Key Responsibilities 1. HR Systems & Platform Architecture Own the end to end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms. Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud native, API first principles. Establish design standards, governance frameworks, and best practices across the HR tech portfolio. Partner with IT's Azure based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture. 2. Integration Architecture & Engineering Define and drive integration strategy across HR systems, moving from point to point patterns toward reusable, API first services. Lead architecture and hands on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform. Design scalable integration patterns - real time APIs, event driven integrations, and batch/file based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems. Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows. Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards. 3. AI Solutions & Automation Identify and deliver high value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI assisted case triage, talent insights, and conversational self service. Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible AI frameworks for HR use cases. 4. Data Architecture & Governance Design HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams. Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics). Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points. 5. Stakeholder Leadership & Collaboration Serve as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions. Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities. Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling. Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs. Qualifications Required 10-12 years of progressive experience in HR technology and enterprise systems architecture. Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules. Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations. Strong understanding of integration patterns, including REST and SOAP APIs, event driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants or AI driven employee experience platforms is a plus. Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration. Experience leading or mentoring small technical teams, including integration engineers and developers. Must be available to work within U.S. time zones (CST). Preferred Hands on experience with Eightfold AI or comparable talent intelligence platforms. Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar). Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines. Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC). Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products. Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA). What Success Looks Like In the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API first and reusable services, shipped at least two meaningful AI powered HR use cases into production, and established architectural standards that guide the broader HR engineering team. Fortive Corporation Overview Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating. Fortive: For you, for us, for growth. Equal Opportunity Employer Statement We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at .
Full Stack Engineer at Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client facing platforms. This is a hands on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI enabled features. Key Responsibilities Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces. Cloud Native Delivery: Develop and run cloud native applications on Microsoft Azure, using PaaS services, containers and infrastructure as code. Data Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts. AI Enabled Development: Build AI enabled product features using patterns such as retrieval augmented generation, tool and API integration, evaluation and human in the loop design. AI Assisted Engineering: Use AI assisted engineering tools such as Claude Code or Claude Cowork as part of your day to day workflow, and help the wider team adopt them well. Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API first and event driven patterns. Quality & Security: Practise test driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth 2.0), data protection and privacy from the start. Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in house and partner engineers, and mentoring others across a greenfield estate. About You You are a pragmatic, hands on engineer who enjoys a fast moving, greenfield environment and wants to work across both traditional and AI native development. Experience Extensive professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus. Backend: Strong programming skills in C#/.NET or Python, solid API design and strong SQL. Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript. Cloud & DevOps: Hands on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure as code (Terraform). Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event driven and API led design, together with a strong grounding in security patterns (OAuth 2.0, OIDC, Entra ID, RBAC) and secure coding practices. Data: Comfortable working with relational databases and data heavy application features, with strong SQL and an eye for query performance. AI Development: Experience building with LLMs and AI enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage. Engineering Craft: Fluency in test driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple. Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade offs clearly. Equal Opportunity Statement We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .
21/07/2026
Full time
Full Stack Engineer at Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client facing platforms. This is a hands on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI enabled features. Key Responsibilities Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces. Cloud Native Delivery: Develop and run cloud native applications on Microsoft Azure, using PaaS services, containers and infrastructure as code. Data Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts. AI Enabled Development: Build AI enabled product features using patterns such as retrieval augmented generation, tool and API integration, evaluation and human in the loop design. AI Assisted Engineering: Use AI assisted engineering tools such as Claude Code or Claude Cowork as part of your day to day workflow, and help the wider team adopt them well. Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API first and event driven patterns. Quality & Security: Practise test driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth 2.0), data protection and privacy from the start. Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in house and partner engineers, and mentoring others across a greenfield estate. About You You are a pragmatic, hands on engineer who enjoys a fast moving, greenfield environment and wants to work across both traditional and AI native development. Experience Extensive professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus. Backend: Strong programming skills in C#/.NET or Python, solid API design and strong SQL. Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript. Cloud & DevOps: Hands on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure as code (Terraform). Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event driven and API led design, together with a strong grounding in security patterns (OAuth 2.0, OIDC, Entra ID, RBAC) and secure coding practices. Data: Comfortable working with relational databases and data heavy application features, with strong SQL and an eye for query performance. AI Development: Experience building with LLMs and AI enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage. Engineering Craft: Fluency in test driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple. Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade offs clearly. Equal Opportunity Statement We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .
Netcompany is looking for talented Lead DevOps Engineers to join our growing Cloud Operations Team and help enhance the support, delivery, and evolution of our Netcompany Platforms solutions. In this role, you will build high performing, resilient, and secure services for our clients, working alongside a skilled and forward thinking engineering community. Responsibilities and Leadership Expectations As a hands on Lead DevOps Engineer, you will design, implement, and operate cloud based solutions for complex enterprise environments and high profile clients. You will lead DevOps strategy, drive platform modernisation, and implement best practices across cloud infrastructure, automation, security, and observability. Proven ability to lead technical initiatives, mentor engineers, and drive DevOps best practices. Strong communication and stakeholder management skills, engaging both technical and non technical audiences. Technical Expertise Design, build, and operate cloud native platforms in Azure and/or AWS. Strong knowledge of cloud security, networking, and identity & access management. Hands on experience implementing and managing Infrastructure as Code using Terraform, Bicep, CloudFormation, or Ansible. Strong experience with Kubernetes, containerisation, and platform operations. Design and implement CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or similar. Strong scripting and automation skills using PowerShell, Python, Bash, or Go. Design and implement monitoring, logging, and observability solutions using Prometheus, Grafana, Azure Monitor, ELK/EFK. Excellent troubleshooting and problem solving skills. Design and implement high availability and disaster recovery solutions. Experience with multi cloud and hybrid cloud architectures. Knowledge of FinOps and cloud cost optimisation practices. Implement DevSecOps principles and security controls within CI/CD pipelines. Build developer platforms and self service capabilities. Essential Requirements Right to work in the UK. Ability to obtain and maintain UK Security Clearance. Willingness to travel within the UK when required. Desirable Qualifications Azure Administrator Associate (AZ 104) Azure DevOps Engineer Expert (AZ 400) AWS Solutions Architect - Associate AWS SysOps Administrator - Associate Certified Kubernetes Administrator (CKA) HashiCorp Terraform Associate Professional Development Netcompany Academy offers a diverse range of courses, seminars and certifications to support your development. Academy programmes enhance managerial skills, deepen methodology knowledge, hone leadership abilities, and fine tune strategic acumen. Benefits 25 days holiday Private medical care via Vitality Pension contribution, life assurance Professional certifications supported as part of learning and development Retail discounts for restaurants, supermarkets, travel, leisure activities and health and well being services Access to Employee Resource Groups, supporting diverse backgrounds and community building Equal Opportunity Netcompany is committed to providing an inclusive and barrier free recruitment process for anyone wishing to apply for a job with us. We operate a Disability Confident Interview Scheme, offering guaranteed interviews to all applicants with a disability who meet the minimum criteria for a role. Applicants are asked to opt in, and we encourage you to let us know.
21/07/2026
Full time
Netcompany is looking for talented Lead DevOps Engineers to join our growing Cloud Operations Team and help enhance the support, delivery, and evolution of our Netcompany Platforms solutions. In this role, you will build high performing, resilient, and secure services for our clients, working alongside a skilled and forward thinking engineering community. Responsibilities and Leadership Expectations As a hands on Lead DevOps Engineer, you will design, implement, and operate cloud based solutions for complex enterprise environments and high profile clients. You will lead DevOps strategy, drive platform modernisation, and implement best practices across cloud infrastructure, automation, security, and observability. Proven ability to lead technical initiatives, mentor engineers, and drive DevOps best practices. Strong communication and stakeholder management skills, engaging both technical and non technical audiences. Technical Expertise Design, build, and operate cloud native platforms in Azure and/or AWS. Strong knowledge of cloud security, networking, and identity & access management. Hands on experience implementing and managing Infrastructure as Code using Terraform, Bicep, CloudFormation, or Ansible. Strong experience with Kubernetes, containerisation, and platform operations. Design and implement CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or similar. Strong scripting and automation skills using PowerShell, Python, Bash, or Go. Design and implement monitoring, logging, and observability solutions using Prometheus, Grafana, Azure Monitor, ELK/EFK. Excellent troubleshooting and problem solving skills. Design and implement high availability and disaster recovery solutions. Experience with multi cloud and hybrid cloud architectures. Knowledge of FinOps and cloud cost optimisation practices. Implement DevSecOps principles and security controls within CI/CD pipelines. Build developer platforms and self service capabilities. Essential Requirements Right to work in the UK. Ability to obtain and maintain UK Security Clearance. Willingness to travel within the UK when required. Desirable Qualifications Azure Administrator Associate (AZ 104) Azure DevOps Engineer Expert (AZ 400) AWS Solutions Architect - Associate AWS SysOps Administrator - Associate Certified Kubernetes Administrator (CKA) HashiCorp Terraform Associate Professional Development Netcompany Academy offers a diverse range of courses, seminars and certifications to support your development. Academy programmes enhance managerial skills, deepen methodology knowledge, hone leadership abilities, and fine tune strategic acumen. Benefits 25 days holiday Private medical care via Vitality Pension contribution, life assurance Professional certifications supported as part of learning and development Retail discounts for restaurants, supermarkets, travel, leisure activities and health and well being services Access to Employee Resource Groups, supporting diverse backgrounds and community building Equal Opportunity Netcompany is committed to providing an inclusive and barrier free recruitment process for anyone wishing to apply for a job with us. We operate a Disability Confident Interview Scheme, offering guaranteed interviews to all applicants with a disability who meet the minimum criteria for a role. Applicants are asked to opt in, and we encourage you to let us know.
Group Overview TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker, the world's leading provider of OTC data, and an award winning all to all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries and employs 5,200 people. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Full Stack C# Engineer, you will play a key role in designing and delivering high quality, scalable applications that power critical business functions. This position requires strong technical expertise across front end and back end technologies, a collaborative mindset, and the ability to influence architectural decisions. You will work closely with product owners, architects, and other engineers to build innovative solutions that meet business needs while adhering to best practices in security, performance, and maintainability. Role Responsibilities Design, develop, and maintain scalable full stack applications using modern frameworks and cloud technologies. Collaborate with cross functional teams to deliver high quality software aligned with business objectives. Implement and maintain microservices architecture and API integrations. Ensure adherence to SDLC processes, including CI/CD pipelines and automated testing. Optimize application performance and ensure security best practices. Participate in architectural discussions and contribute to evolving systems toward target state architecture. Troubleshoot and resolve complex technical issues in production environments. Mentor junior engineers and promote engineering best practices. Work within Agile delivery teams, contributing to planning, estimation, and retrospectives. Stay current with emerging technologies and incorporate best practices into development. Experience / Competences Essential Strong experience in full stack development within enterprise environments. Proficiency in front end technologies: TypeScript, React (or similar frameworks). Strong back end experience with C# language. Solid understanding of SOLID principles. Good understanding of RESTful APIs. Experience with cloud platforms (AWS preferred) and containerization (Docker/Kubernetes). Knowledge of CI/CD tools and practices (e.g., GitLab). Familiarity with automated testing frameworks and maintaining code quality. Strong database skills (SQL). Excellent problem solving, communication, and collaboration skills. Desired Experience with microservices and event driven architectures. Experience with AI assisted design and coding. GraphQL and WebSockets. Knowledge of observability tools (e.g., OpenTelemetry, Grafana). Familiarity with Infrastructure as Code (Terraform). Understanding of financial markets or trading systems. Contribution to open source projects. Awareness of security principles and DevSecOps practices. Location UK - 135 Bishopsgate - London
21/07/2026
Full time
Group Overview TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker, the world's leading provider of OTC data, and an award winning all to all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries and employs 5,200 people. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Full Stack C# Engineer, you will play a key role in designing and delivering high quality, scalable applications that power critical business functions. This position requires strong technical expertise across front end and back end technologies, a collaborative mindset, and the ability to influence architectural decisions. You will work closely with product owners, architects, and other engineers to build innovative solutions that meet business needs while adhering to best practices in security, performance, and maintainability. Role Responsibilities Design, develop, and maintain scalable full stack applications using modern frameworks and cloud technologies. Collaborate with cross functional teams to deliver high quality software aligned with business objectives. Implement and maintain microservices architecture and API integrations. Ensure adherence to SDLC processes, including CI/CD pipelines and automated testing. Optimize application performance and ensure security best practices. Participate in architectural discussions and contribute to evolving systems toward target state architecture. Troubleshoot and resolve complex technical issues in production environments. Mentor junior engineers and promote engineering best practices. Work within Agile delivery teams, contributing to planning, estimation, and retrospectives. Stay current with emerging technologies and incorporate best practices into development. Experience / Competences Essential Strong experience in full stack development within enterprise environments. Proficiency in front end technologies: TypeScript, React (or similar frameworks). Strong back end experience with C# language. Solid understanding of SOLID principles. Good understanding of RESTful APIs. Experience with cloud platforms (AWS preferred) and containerization (Docker/Kubernetes). Knowledge of CI/CD tools and practices (e.g., GitLab). Familiarity with automated testing frameworks and maintaining code quality. Strong database skills (SQL). Excellent problem solving, communication, and collaboration skills. Desired Experience with microservices and event driven architectures. Experience with AI assisted design and coding. GraphQL and WebSockets. Knowledge of observability tools (e.g., OpenTelemetry, Grafana). Familiarity with Infrastructure as Code (Terraform). Understanding of financial markets or trading systems. Contribution to open source projects. Awareness of security principles and DevSecOps practices. Location UK - 135 Bishopsgate - London
Responsibilities Lead the development and implementation of cloud strategy, architecture and engineering standards across AWS estate. Coding and implementing scalable, secure and supported cloud infrastructure. Presenting recommendations for technologies or system improvements to support project goals. Evaluating the success of integrated solutions, identifying best practices and lessons learned. Ensuring high availability and performance of critical services. Building internal cloud capability and mentoring engineers. Supporting innovation and continuous improvement in service delivery. Requirements Your experience enables you to lead strategic improvements across cloud platforms and infrastructure operations. Your experience engineering cloud-based systems using a range of technologies and the AWS Well Architected Framework enables you to design robust, scalable, and secure solutions. Your experience of building solutions to highly complex problems using modern cloud technologies allows you to use agreed specifications to independently design, code, test and document infrastructure modules of high complexity, using the right standards and tools. Your experience developing and deploying live cloud infrastructure allows you to define the monitoring, alerting, and operational procedures of a service to consistently identify, locate and fix faults. Core Competencies Demonstrates expertise in leading cloud strategy and architecture, with a focus on AWS technologies. Capable of designing, implementing, and optimizing scalable and secure cloud infrastructure while mentoring engineering teams.
21/07/2026
Full time
Responsibilities Lead the development and implementation of cloud strategy, architecture and engineering standards across AWS estate. Coding and implementing scalable, secure and supported cloud infrastructure. Presenting recommendations for technologies or system improvements to support project goals. Evaluating the success of integrated solutions, identifying best practices and lessons learned. Ensuring high availability and performance of critical services. Building internal cloud capability and mentoring engineers. Supporting innovation and continuous improvement in service delivery. Requirements Your experience enables you to lead strategic improvements across cloud platforms and infrastructure operations. Your experience engineering cloud-based systems using a range of technologies and the AWS Well Architected Framework enables you to design robust, scalable, and secure solutions. Your experience of building solutions to highly complex problems using modern cloud technologies allows you to use agreed specifications to independently design, code, test and document infrastructure modules of high complexity, using the right standards and tools. Your experience developing and deploying live cloud infrastructure allows you to define the monitoring, alerting, and operational procedures of a service to consistently identify, locate and fix faults. Core Competencies Demonstrates expertise in leading cloud strategy and architecture, with a focus on AWS technologies. Capable of designing, implementing, and optimizing scalable and secure cloud infrastructure while mentoring engineering teams.
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Managing Engineer - Workday Integrations is responsible for leading the design, development, delivery, and support of enterprise integrations that connect Workday with internal and third party applications across the organization. This role combines technical leadership, people leadership, and delivery accountability to ensure Workday integrations are reliable, scalable, secure, and aligned with business objectives. The Managing Engineer leads a team of integration engineers responsible for developing and maintaining interfaces using Workday integration technologies, middleware platforms, APIs, cloud integration services, and enterprise messaging frameworks. The role partners closely with HR Technology, Enterprise Architecture, Security, Infrastructure, and business stakeholders to define integration strategies, establish engineering standards, and deliver high-quality technology solutions. This position requires a technical leader who can balance strategic planning with hands on technical oversight, drive operational excellence, mentor engineering talent, and ensure integration platforms evolve to meet future business and technology requirements. Key Responsibilities Lead, coach, and develop a team of Workday integration engineers, establishing clear priorities, objectives, and engineering best practices, with support from Lead and Principal Engineers. Own the design, development, deployment, and ongoing support of Workday integrations across Human Capital Management (HCM), Payroll, Benefits, Recruiting, Talent, Learning, and other Workday modules. Define and implement enterprise integration strategies that support scalability, security, maintainability, and operational excellence. Lead the delivery of complex integration initiatives involving Workday, middleware platforms, cloud services, APIs, and third party vendors. Establish engineering standards, governance processes, coding practices, and quality controls across the integration portfolio. Partner with HR Technology, Product Owners, Architects, and business stakeholders to translate business outcomes into technical solutions. Ensure integrations meet security, compliance, audit, and data governance requirements. Drive adoption of modern engineering practices including CI/CD, automated testing, monitoring, observability, and Infrastructure as Code where appropriate. Oversee production support processes, incident management, root cause analysis, and continuous improvement activities. Collaborate with Workday product teams to leverage new capabilities and best practices. In partnership with Digital Product Manager, develop integration roadmaps and support strategic initiatives including Workday releases, acquisitions, system migrations, and digital transformation programs. Essential Skills Minimum of 4+ years of experience in Workday Studio and/or Orchestrate. Experience in coaching and mentoring junior engineers. Proven experience leading the delivery of multiple enterprise integration projects from requirements through production deployment. Demonstrated ability to manage competing priorities, stakeholder expectations, and delivery timelines across complex technology initiatives. Experience designing and supporting inbound, outbound, and bi directional integrations between Workday and enterprise applications. Demonstrated ability to troubleshoot, optimize, and maintain production Workday integrations within a large scale enterprise environment. Experience integrating Workday with enterprise systems such as HR platforms, identity solutions, payroll providers, benefits vendors, ERP systems, or data platforms. Working knowledge of cloud integration and enterprise integration architecture principles. Experience implementing automated testing, deployment, monitoring, and support practices. Strong understanding of data transformation, error handling, integration security, and application lifecycle management. Desirable Skills Knowledge of Agile, Scrum, SAFe, or other modern delivery frameworks. Knowledge of identity management and HR related security requirements including SSO, IAM, RBAC, and data protection controls. Experience with reporting, analytics, and workforce data integration solutions. Exposure to generative AI, automation, or intelligent workflow technologies within HR and employee experience platforms. Experience supporting global HR organizations operating across multiple geographies and regulatory environments. Experience with Agentic AI. Exposure to Workday Extend. Supervisory Responsibilities This role has supervisory responsibilities and serves as the first level manager for a team of Workday Integration Engineers. Responsibilities include hiring, performance management, coaching, career development, workload planning, and delivery oversight. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
21/07/2026
Full time
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Managing Engineer - Workday Integrations is responsible for leading the design, development, delivery, and support of enterprise integrations that connect Workday with internal and third party applications across the organization. This role combines technical leadership, people leadership, and delivery accountability to ensure Workday integrations are reliable, scalable, secure, and aligned with business objectives. The Managing Engineer leads a team of integration engineers responsible for developing and maintaining interfaces using Workday integration technologies, middleware platforms, APIs, cloud integration services, and enterprise messaging frameworks. The role partners closely with HR Technology, Enterprise Architecture, Security, Infrastructure, and business stakeholders to define integration strategies, establish engineering standards, and deliver high-quality technology solutions. This position requires a technical leader who can balance strategic planning with hands on technical oversight, drive operational excellence, mentor engineering talent, and ensure integration platforms evolve to meet future business and technology requirements. Key Responsibilities Lead, coach, and develop a team of Workday integration engineers, establishing clear priorities, objectives, and engineering best practices, with support from Lead and Principal Engineers. Own the design, development, deployment, and ongoing support of Workday integrations across Human Capital Management (HCM), Payroll, Benefits, Recruiting, Talent, Learning, and other Workday modules. Define and implement enterprise integration strategies that support scalability, security, maintainability, and operational excellence. Lead the delivery of complex integration initiatives involving Workday, middleware platforms, cloud services, APIs, and third party vendors. Establish engineering standards, governance processes, coding practices, and quality controls across the integration portfolio. Partner with HR Technology, Product Owners, Architects, and business stakeholders to translate business outcomes into technical solutions. Ensure integrations meet security, compliance, audit, and data governance requirements. Drive adoption of modern engineering practices including CI/CD, automated testing, monitoring, observability, and Infrastructure as Code where appropriate. Oversee production support processes, incident management, root cause analysis, and continuous improvement activities. Collaborate with Workday product teams to leverage new capabilities and best practices. In partnership with Digital Product Manager, develop integration roadmaps and support strategic initiatives including Workday releases, acquisitions, system migrations, and digital transformation programs. Essential Skills Minimum of 4+ years of experience in Workday Studio and/or Orchestrate. Experience in coaching and mentoring junior engineers. Proven experience leading the delivery of multiple enterprise integration projects from requirements through production deployment. Demonstrated ability to manage competing priorities, stakeholder expectations, and delivery timelines across complex technology initiatives. Experience designing and supporting inbound, outbound, and bi directional integrations between Workday and enterprise applications. Demonstrated ability to troubleshoot, optimize, and maintain production Workday integrations within a large scale enterprise environment. Experience integrating Workday with enterprise systems such as HR platforms, identity solutions, payroll providers, benefits vendors, ERP systems, or data platforms. Working knowledge of cloud integration and enterprise integration architecture principles. Experience implementing automated testing, deployment, monitoring, and support practices. Strong understanding of data transformation, error handling, integration security, and application lifecycle management. Desirable Skills Knowledge of Agile, Scrum, SAFe, or other modern delivery frameworks. Knowledge of identity management and HR related security requirements including SSO, IAM, RBAC, and data protection controls. Experience with reporting, analytics, and workforce data integration solutions. Exposure to generative AI, automation, or intelligent workflow technologies within HR and employee experience platforms. Experience supporting global HR organizations operating across multiple geographies and regulatory environments. Experience with Agentic AI. Exposure to Workday Extend. Supervisory Responsibilities This role has supervisory responsibilities and serves as the first level manager for a team of Workday Integration Engineers. Responsibilities include hiring, performance management, coaching, career development, workload planning, and delivery oversight. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
Harvey Nash IT Recruitment UK
Portsmouth, Hampshire
Security Cleared GCP Infrastructure Engineer x2 £550-£600 per day (Inside IR35) | Security Clearance Required | Largely Remote | September Start We are seeking 2 experienced GCP Infrastructure Engineers to join a high-profile programme delivering and supporting cloud infrastructure within a secure environment. This is an excellent opportunity for engineers with strong Google Cloud Platform (GCP), Terraform and Python expertise to work on a large-scale cloud platform, helping to drive infrastructure automation, DevOps best practice and continuous improvement. Key Responsibilities. Design, build and maintain cloud infrastructure within GCP. Develop and enhance Infrastructure as Code using Terraform. Automate operational processes using Python. Implement and maintain CI/CD pipelines. Support platform reliability, scalability and security. Collaborate with DevOps, engineering and delivery teams to improve cloud services. Contribute to infrastructure standards, governance and best practices Essential Skills & Experience. Strong commercial experience with Google Cloud Platform (GCP). Proven expertise with Terraform. Strong Python Scripting and automation skills. Experience delivering infrastructure in a DevOps environment. CI/CD pipeline experience. Infrastructure, platform engineering or cloud engineering background. Strong troubleshooting and problem-solving skills. Active Security Clearance (SC) If you are an SC Cleared GCP Infrastructure Engineer with strong Terraform and Python experience and are available for a September start, we'd love to hear from you.
21/07/2026
Contractor
Security Cleared GCP Infrastructure Engineer x2 £550-£600 per day (Inside IR35) | Security Clearance Required | Largely Remote | September Start We are seeking 2 experienced GCP Infrastructure Engineers to join a high-profile programme delivering and supporting cloud infrastructure within a secure environment. This is an excellent opportunity for engineers with strong Google Cloud Platform (GCP), Terraform and Python expertise to work on a large-scale cloud platform, helping to drive infrastructure automation, DevOps best practice and continuous improvement. Key Responsibilities. Design, build and maintain cloud infrastructure within GCP. Develop and enhance Infrastructure as Code using Terraform. Automate operational processes using Python. Implement and maintain CI/CD pipelines. Support platform reliability, scalability and security. Collaborate with DevOps, engineering and delivery teams to improve cloud services. Contribute to infrastructure standards, governance and best practices Essential Skills & Experience. Strong commercial experience with Google Cloud Platform (GCP). Proven expertise with Terraform. Strong Python Scripting and automation skills. Experience delivering infrastructure in a DevOps environment. CI/CD pipeline experience. Infrastructure, platform engineering or cloud engineering background. Strong troubleshooting and problem-solving skills. Active Security Clearance (SC) If you are an SC Cleared GCP Infrastructure Engineer with strong Terraform and Python experience and are available for a September start, we'd love to hear from you.
We are a forward thinking services company at the forefront of AI native innovation. We partner with enterprise clients to create next generation, agent powered workflows engineered to scale in real world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are an AI Native Engineer with a strong foundation in building cloud native solutions and hands on experience designing and deploying agentic systems, especially for enterprise environments. You're a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You'll shape how enterprises adopt AI native engineering by leading complex agentic solutions or owning critical technical areas end to end as a senior IC. Responsibilities Partner directly with client stakeholders - acting as both technologist and trusted advisor. Define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Agent Architecture & Engineering Design: build enterprise ready AI agents incorporating retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability. Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly. AI Platform Integration: develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud Native Engineering: leverage containerization (Kubernetes, Docker), microservices, serverless, event driven architectures, CI/CD, and observability stacks to deliver scalable AI native systems. Own deployment, monitoring, and troubleshooting for your services in production. Domain Specific Workflows: tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain specific processes and constraints. Client Engagement: participate in and/or lead design workshops, POCs, and code with sessions to shape data driven agent workflows with stakeholders, fostering trust and adoption. Communicate trade offs, risks, and recommendations clearly to both technical and non technical audiences. Measure & Improve: define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness; iterate rapidly based on data, feedback, and changing requirements. Knowledge Sharing: craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps; contribute to internal communities of practice around AI native and agentic engineering. Travel may be required for this role, ranging from 25% to 75% depending on business need and client requirements. Qualifications Engineering experience with cloud native systems (APIs, microservices, containerization, serverless). Minimum 1 year of hands on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near production environments. Experience with modern AI platforms - OpenAI, Claude, Vertex AI, or open source models - including building or using abstraction layers for multi provider pipelines. Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm). Experience in client facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity. Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience). Bonus Points If You Have Relevant AI certifications or agentic tooling experience. Experience as an Agentic / AI Engineer in an enterprise environment. Built multi agent orchestrations using (Lang graph, Crew AI, Claude SDK, Open AI SDK, etc.). GitHub repo with an agent/plugins you have created. Experience with enterprise grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream based architectures. Understanding the AI native paradigm - blending cloud native with generative model architectures - optimizing for performance, modularity, and efficiency. Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs. Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
21/07/2026
Full time
We are a forward thinking services company at the forefront of AI native innovation. We partner with enterprise clients to create next generation, agent powered workflows engineered to scale in real world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are an AI Native Engineer with a strong foundation in building cloud native solutions and hands on experience designing and deploying agentic systems, especially for enterprise environments. You're a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure. You'll shape how enterprises adopt AI native engineering by leading complex agentic solutions or owning critical technical areas end to end as a senior IC. Responsibilities Partner directly with client stakeholders - acting as both technologist and trusted advisor. Define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Agent Architecture & Engineering Design: build enterprise ready AI agents incorporating retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability. Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly. AI Platform Integration: develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud Native Engineering: leverage containerization (Kubernetes, Docker), microservices, serverless, event driven architectures, CI/CD, and observability stacks to deliver scalable AI native systems. Own deployment, monitoring, and troubleshooting for your services in production. Domain Specific Workflows: tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain specific processes and constraints. Client Engagement: participate in and/or lead design workshops, POCs, and code with sessions to shape data driven agent workflows with stakeholders, fostering trust and adoption. Communicate trade offs, risks, and recommendations clearly to both technical and non technical audiences. Measure & Improve: define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness; iterate rapidly based on data, feedback, and changing requirements. Knowledge Sharing: craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps; contribute to internal communities of practice around AI native and agentic engineering. Travel may be required for this role, ranging from 25% to 75% depending on business need and client requirements. Qualifications Engineering experience with cloud native systems (APIs, microservices, containerization, serverless). Minimum 1 year of hands on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near production environments. Experience with modern AI platforms - OpenAI, Claude, Vertex AI, or open source models - including building or using abstraction layers for multi provider pipelines. Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm). Experience in client facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity. Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience). Bonus Points If You Have Relevant AI certifications or agentic tooling experience. Experience as an Agentic / AI Engineer in an enterprise environment. Built multi agent orchestrations using (Lang graph, Crew AI, Claude SDK, Open AI SDK, etc.). GitHub repo with an agent/plugins you have created. Experience with enterprise grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream based architectures. Understanding the AI native paradigm - blending cloud native with generative model architectures - optimizing for performance, modularity, and efficiency. Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs. Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
