Outside IR35 Contract: Senior AWS Platform Engineer (AI Platform) Day Rate: Up to £600 Outside IR35 Location/Arrangement: Up to 3 Days per Week in office - either Bristol or London office Duration: 6 months with the intention to further extend - long term greenfield programme Our client is a FTSE100 Investment Management firm, we are seeking a AWS Platform Engineer to support on a £ multi-million greenfield AI platform build out with the long-term goal of DevOps automation. As a Senior Platform Engineer, you'll own the foundations our engineering teams build on. This is a deep AWS role, you'll be shaping the multi-account estate itself, not just deploying workloads into it and a growing part of it is building the platform capability that lets teams ship AI-enabled products safely and at scale. About you: Deep, hands-on AWS expertise at platform level. You've designed and built landing zones and multi-account environments from the ground up - account vending, SCPs, IAM/identity federation, VPC and hybrid networking, centralised logging, and guardrails - not just consumed them. For example, this role may not be suitable for someone whose AWS experience is shipping Lambdas into an account someone else built. (Highly Desirable) You've built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability). Expert-level Infrastructure as Code (Terraform strongly preferred; CloudFormation/CDK welcome) and strong Scripting (Python, Bash) for complex automation and self-service tooling Strong CI/CD, containerisation and orchestration - Harness (or equivalent enterprise CD tooling such as ArgoCD, Spinnaker, GitLab), Docker, and Kubernetes/EKS, with pipelines and deployment policy managed as code Deep cloud security and governance knowledge - identity management, policy-as-code, and compliance standards (ISO, SOC, GDPR) in a regulated setting Proven track record designing scalable, resilient, cost-efficient AWS solutions in complex enterprise environments Strong analytical and decision-making skills , and the ability to explain technical concepts clearly to technical and non-technical stakeholders Experience mentoring engineers and raising the bar around you What you'll do: Design, build and evolve our AWS platform foundations - multi-account architecture, landing zones, Organizations/Control Tower, guardrails, networking and identity Drive platform design and engineering standards, and embed golden paths that simplify and standardise how we build and run services Enable automation, reliability and cost optimisation at scale - treating infrastructure, pipelines and policy as code Mentor and support engineers, influence technical direction, and work across teams to deliver cloud-native solutions aligned to our clients goals Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly beneficial) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
28/07/2026
Contractor
Outside IR35 Contract: Senior AWS Platform Engineer (AI Platform) Day Rate: Up to £600 Outside IR35 Location/Arrangement: Up to 3 Days per Week in office - either Bristol or London office Duration: 6 months with the intention to further extend - long term greenfield programme Our client is a FTSE100 Investment Management firm, we are seeking a AWS Platform Engineer to support on a £ multi-million greenfield AI platform build out with the long-term goal of DevOps automation. As a Senior Platform Engineer, you'll own the foundations our engineering teams build on. This is a deep AWS role, you'll be shaping the multi-account estate itself, not just deploying workloads into it and a growing part of it is building the platform capability that lets teams ship AI-enabled products safely and at scale. About you: Deep, hands-on AWS expertise at platform level. You've designed and built landing zones and multi-account environments from the ground up - account vending, SCPs, IAM/identity federation, VPC and hybrid networking, centralised logging, and guardrails - not just consumed them. For example, this role may not be suitable for someone whose AWS experience is shipping Lambdas into an account someone else built. (Highly Desirable) You've built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability). Expert-level Infrastructure as Code (Terraform strongly preferred; CloudFormation/CDK welcome) and strong Scripting (Python, Bash) for complex automation and self-service tooling Strong CI/CD, containerisation and orchestration - Harness (or equivalent enterprise CD tooling such as ArgoCD, Spinnaker, GitLab), Docker, and Kubernetes/EKS, with pipelines and deployment policy managed as code Deep cloud security and governance knowledge - identity management, policy-as-code, and compliance standards (ISO, SOC, GDPR) in a regulated setting Proven track record designing scalable, resilient, cost-efficient AWS solutions in complex enterprise environments Strong analytical and decision-making skills , and the ability to explain technical concepts clearly to technical and non-technical stakeholders Experience mentoring engineers and raising the bar around you What you'll do: Design, build and evolve our AWS platform foundations - multi-account architecture, landing zones, Organizations/Control Tower, guardrails, networking and identity Drive platform design and engineering standards, and embed golden paths that simplify and standardise how we build and run services Enable automation, reliability and cost optimisation at scale - treating infrastructure, pipelines and policy as code Mentor and support engineers, influence technical direction, and work across teams to deliver cloud-native solutions aligned to our clients goals Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly beneficial) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience in Infrastructure as code (IAC) such as Terraform or equivalent Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages. Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures
28/07/2026
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience in Infrastructure as code (IAC) such as Terraform or equivalent Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages. Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures
*MUST BE DV CLEARED CURRENTLY* A global company are looking for a DV Cleared Infrastructure Engineer Full time on a permanent (37.5hr) basis. Fulltime on site role in London office. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
28/07/2026
Full time
*MUST BE DV CLEARED CURRENTLY* A global company are looking for a DV Cleared Infrastructure Engineer Full time on a permanent (37.5hr) basis. Fulltime on site role in London office. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you!
28/07/2026
Full time
AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you!
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) £ Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
28/07/2026
Full time
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) £ Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro-services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high-quality code Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in at least one major programming language: Go, Python and/or Java Experience with Kubernetes and Terraform Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with any cloud provider. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka)
28/07/2026
Full time
Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro-services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high-quality code Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in at least one major programming language: Go, Python and/or Java Experience with Kubernetes and Terraform Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with any cloud provider. Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka)
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) £ Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
28/07/2026
Full time
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) £ Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you!
28/07/2026
Full time
AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you!
About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3000 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2961 Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile streams aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex's business divisions and works with a corresponding Business Technology and Application Support team. Role Summary As an experienced technical lead and full-stack software engineer specializing in both front-end and back-end development, expert in React or C# .NET with React and/or WPF, you will take a hands-on and leading role in the ongoing development of the Marex Equity Market Making and Trading platform. As part of the platform modernisation programme, you will contribute to the creation and enhancement of on prem and cloud hosted, secure, responsive desktop and web applications tailored for front-to-back Market Making and Trading technology. Your coding expertise and your strong emphasis on quality will be instrumental in delivering robust and reliable applications. In this role, you will use your architectural and devOps experience to help build new solutions in support of strategic business initiatives, and initiatives and mature our existing software and efficiently migrate and re-platform legacy systems to the cloud, using cloud native design patterns. Working closely with the enterprise architecture stream and platform engineering team to ensure alignment to organisational technology patterns and standards, and seamless integration and deployment. You will support and advocate for the Marex Agentic AI augmented development strategy. You will take a leading technical role within the team, acting as scrum master when needed, and mentoring and upskilling incumbent team members in support of Marex's modernisation and cloud migration programme of work. You will work in close collaboration with the Capital Markets - Equities development managers and business technology function to align with Marex' agile ways of working; ensure the backlog is correctly prioritised, stories are aligned to our definition of ready, the team remains delivery focused, and impediments are closed out. Responsibilities Role specific: Provide technical leadership to the London and Cheshire based Capital Markets - Equities development teams Design and code across proprietary applications and services that constitute the Capital Markets - Equities Market Making and Trading technology platform Take accountability for the quality of deliverables, and assist the wider scrum team in taking accountability for theirs Work with platform engineering to automate build and deploy of existing and new systems Support the strategic goals of Capital Markets development; greenfield initiatives, replatforming and consolidating legacy systems, and adopting an automation-first approach to delivery and quality control Act as Scrum Master, managing the backlog, scrum ceremonies and handling impediments Act as an automated testing champion within the scrum team, working with SDETs to upskill developers and exploiting opportunities to automate quality control All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Skills and Experience: Essential: Engineering : C#, .Net, ASP.Net, React, JS/TS, HTML, CSS, SQL, WPF, Linux Tools / Technologies / Infra : NodeJS, cloud/AWS, RabbitMQ, AMQ, Mongo, Bitbucket (Git), SQL/Server, Jira Design : API, HTTP/REST, JSON, micro-services and distributed systems SDLC : Agile, Scrum, Kanban, DevOps, CI/CD, Automation First, BDD/TDD, DORA. Understanding of, and advocacy for, Agentic AI / Context Engineering Desirable: Engineering : Java, Vue, Angular, .Net Core Tools / Technologies / Infra : Docker, Kubernetes, Kafka, Azure, GCP, NoSQL, DNS Design : Serverless, cloud-native/PaaS, event driven, pub/sub, real-time/websockets, architectural design records (ADRs) SDLC : Agentic AI / Context Engineering; CoPilot, Claude, Codex, building custom agents across full SDLC Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Competencies: Excellent verbal and written communication skills A collaborative team player, approachable, self-efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast-paced environment Ability to take a high level of responsibility in a fast pace and high-volume environment Excels at building relationships, networking and influencing others Conduct Rules, You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Acting as a role model for the values of the Company: Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Be integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent - we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves, and our teams. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
28/07/2026
Full time
About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3000 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2961 Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics. The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile streams aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex's business divisions and works with a corresponding Business Technology and Application Support team. Role Summary As an experienced technical lead and full-stack software engineer specializing in both front-end and back-end development, expert in React or C# .NET with React and/or WPF, you will take a hands-on and leading role in the ongoing development of the Marex Equity Market Making and Trading platform. As part of the platform modernisation programme, you will contribute to the creation and enhancement of on prem and cloud hosted, secure, responsive desktop and web applications tailored for front-to-back Market Making and Trading technology. Your coding expertise and your strong emphasis on quality will be instrumental in delivering robust and reliable applications. In this role, you will use your architectural and devOps experience to help build new solutions in support of strategic business initiatives, and initiatives and mature our existing software and efficiently migrate and re-platform legacy systems to the cloud, using cloud native design patterns. Working closely with the enterprise architecture stream and platform engineering team to ensure alignment to organisational technology patterns and standards, and seamless integration and deployment. You will support and advocate for the Marex Agentic AI augmented development strategy. You will take a leading technical role within the team, acting as scrum master when needed, and mentoring and upskilling incumbent team members in support of Marex's modernisation and cloud migration programme of work. You will work in close collaboration with the Capital Markets - Equities development managers and business technology function to align with Marex' agile ways of working; ensure the backlog is correctly prioritised, stories are aligned to our definition of ready, the team remains delivery focused, and impediments are closed out. Responsibilities Role specific: Provide technical leadership to the London and Cheshire based Capital Markets - Equities development teams Design and code across proprietary applications and services that constitute the Capital Markets - Equities Market Making and Trading technology platform Take accountability for the quality of deliverables, and assist the wider scrum team in taking accountability for theirs Work with platform engineering to automate build and deploy of existing and new systems Support the strategic goals of Capital Markets development; greenfield initiatives, replatforming and consolidating legacy systems, and adopting an automation-first approach to delivery and quality control Act as Scrum Master, managing the backlog, scrum ceremonies and handling impediments Act as an automated testing champion within the scrum team, working with SDETs to upskill developers and exploiting opportunities to automate quality control All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Skills and Experience: Essential: Engineering : C#, .Net, ASP.Net, React, JS/TS, HTML, CSS, SQL, WPF, Linux Tools / Technologies / Infra : NodeJS, cloud/AWS, RabbitMQ, AMQ, Mongo, Bitbucket (Git), SQL/Server, Jira Design : API, HTTP/REST, JSON, micro-services and distributed systems SDLC : Agile, Scrum, Kanban, DevOps, CI/CD, Automation First, BDD/TDD, DORA. Understanding of, and advocacy for, Agentic AI / Context Engineering Desirable: Engineering : Java, Vue, Angular, .Net Core Tools / Technologies / Infra : Docker, Kubernetes, Kafka, Azure, GCP, NoSQL, DNS Design : Serverless, cloud-native/PaaS, event driven, pub/sub, real-time/websockets, architectural design records (ADRs) SDLC : Agentic AI / Context Engineering; CoPilot, Claude, Codex, building custom agents across full SDLC Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Competencies: Excellent verbal and written communication skills A collaborative team player, approachable, self-efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast-paced environment Ability to take a high level of responsibility in a fast pace and high-volume environment Excels at building relationships, networking and influencing others Conduct Rules, You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Acting as a role model for the values of the Company: Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients Be integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face. Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do. Nurture talent - we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves, and our teams. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
28/07/2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Sanderson Recruitment Plc
Cardiff, South Glamorgan
Senior Platform Engineer I am currently recruiting for a Senior Platform Engineer to join a leading financial services organisation based in the UK. Within this role, the candidate must have a strong background of Google Cloud Platform (GCP), Kubernetes (GKE), and have experience working with CI/CD concepts and tools. Salary - Up to £72,000 + strong benefits (including share options worth over £13,000 annually) Location - Fully Remote Working - with occasional travel if required onsite Main Duties Design and deliver infrastructure as code solutions using Terraform, enabling scalable and secure environments Manage and deploy application workloads to GKE clusters using Helm charts, supporting best practices in workload isolation and service configurations Support the engineering community by defining infrastructure standards, reusable tooling, and shared CI/CD workflows Develop and support CI/CD pipelines using Azure DevOps promoting automation across delivery pipelines Experience Required Strong hands on experience of GCP and Kubernetes (GKE) Working knowledge of CI/CD concepts and practical experience with tools like Azure DevOps Excellent mentorship skills - someone who has previously managed and mentored more junior team members An understanding of shared service architecture, security and access control patterns Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
28/07/2026
Full time
Senior Platform Engineer I am currently recruiting for a Senior Platform Engineer to join a leading financial services organisation based in the UK. Within this role, the candidate must have a strong background of Google Cloud Platform (GCP), Kubernetes (GKE), and have experience working with CI/CD concepts and tools. Salary - Up to £72,000 + strong benefits (including share options worth over £13,000 annually) Location - Fully Remote Working - with occasional travel if required onsite Main Duties Design and deliver infrastructure as code solutions using Terraform, enabling scalable and secure environments Manage and deploy application workloads to GKE clusters using Helm charts, supporting best practices in workload isolation and service configurations Support the engineering community by defining infrastructure standards, reusable tooling, and shared CI/CD workflows Develop and support CI/CD pipelines using Azure DevOps promoting automation across delivery pipelines Experience Required Strong hands on experience of GCP and Kubernetes (GKE) Working knowledge of CI/CD concepts and practical experience with tools like Azure DevOps Excellent mentorship skills - someone who has previously managed and mentored more junior team members An understanding of shared service architecture, security and access control patterns Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
*MUST BE DV CLEARED CURRENTLY* Fulltime on site role in Ipswich A global company are looking for a DV Cleared Infrastructure Engineer Full time in Ipswich on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
28/07/2026
Full time
*MUST BE DV CLEARED CURRENTLY* Fulltime on site role in Ipswich A global company are looking for a DV Cleared Infrastructure Engineer Full time in Ipswich on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
*MUST BE DV CLEARED CURRENTLY* Fulltime on site role in Cheltenham A global company are looking for a DV Cleared Infrastructure Engineer Full time in Cheltenham on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
28/07/2026
Full time
*MUST BE DV CLEARED CURRENTLY* Fulltime on site role in Cheltenham A global company are looking for a DV Cleared Infrastructure Engineer Full time in Cheltenham on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
Python Developer (AWS/DevOps) £500/day | Inside IR35 | 1-2 Days per Month in Leeds | Until 31st March 2027 | ASAP Start We're looking for an experienced Python Developer with a strong DevOps mindset to join a large-scale public sector transformation programme. This is a hands-on engineering role where you'll be building, deploying and supporting cloud-native services, working across the full software delivery life cycle. You'll work closely with architects, platform engineers and delivery teams to develop secure, scalable applications while contributing to cloud infrastructure, automation and CI/CD pipelines. Key Responsibilities Develop and maintain cloud-native applications using Python. Build and deploy scalable solutions within AWS. Design, build and maintain Infrastructure as Code using Terraform. Develop and support CI/CD pipelines to enable automated testing and deployment. Work across the full software development life cycle, from design through to production support. Collaborate with DevOps, architecture and product teams to deliver high-quality solutions. Troubleshoot production issues and optimise application performance and reliability. Contribute to engineering best practices, automation and continuous improvement initiatives. Skills & Experience Essential Strong commercial experience developing applications with Python . Excellent AWS experience, including services such as Lambda, ECS, EC2, API Gateway, S3, DynamoDB and CloudWatch. Strong hands-on experience with Terraform . Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins or similar. Experience working with container technologies such as Docker and Kubernetes. Strong understanding of cloud architecture, infrastructure automation and DevOps best practices. Experience building and consuming REST APIs and microservices. Comfortable working across both application development and cloud infrastructure. Experience using Git and working within Agile delivery teams. Previous NHS or Central Government experience is essential. Desirable Experience with Bash or other Scripting languages. Knowledge of serverless architectures. Experience with monitoring and observability tools such as CloudWatch, Grafana or Dynatrace. Familiarity with healthcare interoperability standards such as FHIR or HL7. Experience working within large-scale digital transformation programmes. Apply now or email for more information.
28/07/2026
Contractor
Python Developer (AWS/DevOps) £500/day | Inside IR35 | 1-2 Days per Month in Leeds | Until 31st March 2027 | ASAP Start We're looking for an experienced Python Developer with a strong DevOps mindset to join a large-scale public sector transformation programme. This is a hands-on engineering role where you'll be building, deploying and supporting cloud-native services, working across the full software delivery life cycle. You'll work closely with architects, platform engineers and delivery teams to develop secure, scalable applications while contributing to cloud infrastructure, automation and CI/CD pipelines. Key Responsibilities Develop and maintain cloud-native applications using Python. Build and deploy scalable solutions within AWS. Design, build and maintain Infrastructure as Code using Terraform. Develop and support CI/CD pipelines to enable automated testing and deployment. Work across the full software development life cycle, from design through to production support. Collaborate with DevOps, architecture and product teams to deliver high-quality solutions. Troubleshoot production issues and optimise application performance and reliability. Contribute to engineering best practices, automation and continuous improvement initiatives. Skills & Experience Essential Strong commercial experience developing applications with Python . Excellent AWS experience, including services such as Lambda, ECS, EC2, API Gateway, S3, DynamoDB and CloudWatch. Strong hands-on experience with Terraform . Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins or similar. Experience working with container technologies such as Docker and Kubernetes. Strong understanding of cloud architecture, infrastructure automation and DevOps best practices. Experience building and consuming REST APIs and microservices. Comfortable working across both application development and cloud infrastructure. Experience using Git and working within Agile delivery teams. Previous NHS or Central Government experience is essential. Desirable Experience with Bash or other Scripting languages. Knowledge of serverless architectures. Experience with monitoring and observability tools such as CloudWatch, Grafana or Dynatrace. Familiarity with healthcare interoperability standards such as FHIR or HL7. Experience working within large-scale digital transformation programmes. Apply now or email for more information.
*MUST BE DV CLEARED CURRENTLY* Full-time on site role in Manchester A global company are looking for a DV Cleared Infrastructure Engineer Full time in Manchester on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
28/07/2026
Full time
*MUST BE DV CLEARED CURRENTLY* Full-time on site role in Manchester A global company are looking for a DV Cleared Infrastructure Engineer Full time in Manchester on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit *Rates depend on experience and client requirements
Fulltime on site role in London MUST BE DV CLEARED CURRENTLY Up to 100,000 basic salary A global company are looking for a DV Cleared Infrastructure Engineer fulltime in London on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit
28/07/2026
Full time
Fulltime on site role in London MUST BE DV CLEARED CURRENTLY Up to 100,000 basic salary A global company are looking for a DV Cleared Infrastructure Engineer fulltime in London on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit
Senior DevOps Engineer Location: Watford Working Pattern: Primarily office-based Salary: £51,000 per annum Hours: Monday to Thursday 08:30 - 17:00, Friday 08:30 - 16:30 Reporting To IT Project Manager About the Role We are seeking an experienced Senior DevOps Engineer to support the development, delivery, and continuous improvement of DevOps services, cloud platforms, business applications, and technology projects. This is a senior technical role that combines DevOps engineering, application support, database management, cloud infrastructure, data warehousing, and technical leadership. You will work closely with IT Operations, Project Management, business stakeholders, and third-party suppliers to ensure critical systems remain secure, reliable, scalable, and performant. The successful candidate will also provide mentoring and technical guidance to DevOps Engineers while supporting the organisation's digital transformation strategy. Key Responsibilities DevOps & Cloud Engineering Support the implementation and continual improvement of the DevOps function, including Microsoft Azure DevOps. Design, build and maintain CI/CD pipelines and deployment automation processes. Maintain documented code repositories, configurations and infrastructure standards. Work closely with infrastructure teams to ensure platforms are secure, resilient and optimised. Identify opportunities to automate processes and reduce manual operational effort. Applications & Platform Support Act as technical architect and subject matter expert for business-critical applications. Support application integration, upgrades, patching, optimisation and release management. Provide application support for core and non-core business systems. Collaborate with business owners and third-party vendors on troubleshooting and enhancements. Ensure applications are monitored, documented and maintained to minimise technical debt. Data & Database Management Support the design, implementation and enhancement of enterprise data warehouse solutions. Lead Extract, Transform and Load (ETL) processes and activities. Create, configure, maintain and support databases and database services. Optimise database performance, security and reliability. Support data integrations and reporting platforms. Infrastructure & Systems Support Provide platform support for applications and operating systems. Support system builds, upgrades, releases, patching and fault resolution. Maintain and optimise environments including: SQL Server MySQL PostgreSQL Microsoft Dynamics 365 Learning Management Systems Student Information Systems Business Information Systems Incident, Change & Service Management Act as part of the DevOps resolver team, resolving incidents and service requests within agreed service levels. Provide third-line technical support and escalation assistance. Participate in major incident management and root cause analysis. Maintain accurate records within the IT Service Management (ITSM) platform. Act as a permanent member of the Technical Change Board. Provide occasional out-of-hours support for critical incidents and upgrades. Project Delivery Support the delivery of strategic technology projects and programmes. Lead technical workstreams and project activities where required. Produce and maintain project documentation. Ensure solutions align with technical standards and organisational objectives. Leadership & Mentoring Mentor and support DevOps Engineers and technical team members. Contribute to technical skills development and knowledge sharing. Assist in maintaining technical skills matrices and training plans. Promote best practices across DevOps, cloud engineering and application support. Deputise for senior technical leadership when required. Key Skills & Experience Essential Strong experience with Microsoft Azure and Azure DevOps. Experience building and maintaining CI/CD pipelines. Experience supporting enterprise applications and business systems. Strong database administration and support experience. Experience with SQL Server, MySQL and PostgreSQL. Knowledge of ETL processes and data warehousing concepts. Experience with cloud infrastructure, automation and Infrastructure as Code. Strong troubleshooting and third-line support experience. Experience with monitoring, logging and application performance management. Scripting and automation skills. Experience working within Agile and DevOps environments. Desirable Microsoft Dynamics 365 Data Warehouse technologies Learning Management Systems Terraform Kubernetes PowerShell Azure Data Factory Azure SQL Microsoft Fabric Cloud security and governance experience General Responsibilities Participate in training, development and continuous professional development activities. Maintain awareness of current technologies, industry trends and best practices. Promote equality, diversity and inclusion. Comply with all health, safety, safeguarding and security requirements. Deliver a consistently high standard of customer service. Undertake additional duties as reasonably required by management. Benefits & Additional Information Salary of £51,000 per annum Primarily office-based role in Watford Working hours 08:30 - 17:00 Monday to Thursday Early finish of 16:30 on Fridays Opportunity to work on cloud transformation, data warehouse development, DevOps automation, and enterprise applications within a broad technology environment. Please note: The responsibilities outlined above are not exhaustive and may be amended from time to time to meet business requirements. They do not form part of any contract of employment. Provide your feedback on BizChat
28/07/2026
Full time
Senior DevOps Engineer Location: Watford Working Pattern: Primarily office-based Salary: £51,000 per annum Hours: Monday to Thursday 08:30 - 17:00, Friday 08:30 - 16:30 Reporting To IT Project Manager About the Role We are seeking an experienced Senior DevOps Engineer to support the development, delivery, and continuous improvement of DevOps services, cloud platforms, business applications, and technology projects. This is a senior technical role that combines DevOps engineering, application support, database management, cloud infrastructure, data warehousing, and technical leadership. You will work closely with IT Operations, Project Management, business stakeholders, and third-party suppliers to ensure critical systems remain secure, reliable, scalable, and performant. The successful candidate will also provide mentoring and technical guidance to DevOps Engineers while supporting the organisation's digital transformation strategy. Key Responsibilities DevOps & Cloud Engineering Support the implementation and continual improvement of the DevOps function, including Microsoft Azure DevOps. Design, build and maintain CI/CD pipelines and deployment automation processes. Maintain documented code repositories, configurations and infrastructure standards. Work closely with infrastructure teams to ensure platforms are secure, resilient and optimised. Identify opportunities to automate processes and reduce manual operational effort. Applications & Platform Support Act as technical architect and subject matter expert for business-critical applications. Support application integration, upgrades, patching, optimisation and release management. Provide application support for core and non-core business systems. Collaborate with business owners and third-party vendors on troubleshooting and enhancements. Ensure applications are monitored, documented and maintained to minimise technical debt. Data & Database Management Support the design, implementation and enhancement of enterprise data warehouse solutions. Lead Extract, Transform and Load (ETL) processes and activities. Create, configure, maintain and support databases and database services. Optimise database performance, security and reliability. Support data integrations and reporting platforms. Infrastructure & Systems Support Provide platform support for applications and operating systems. Support system builds, upgrades, releases, patching and fault resolution. Maintain and optimise environments including: SQL Server MySQL PostgreSQL Microsoft Dynamics 365 Learning Management Systems Student Information Systems Business Information Systems Incident, Change & Service Management Act as part of the DevOps resolver team, resolving incidents and service requests within agreed service levels. Provide third-line technical support and escalation assistance. Participate in major incident management and root cause analysis. Maintain accurate records within the IT Service Management (ITSM) platform. Act as a permanent member of the Technical Change Board. Provide occasional out-of-hours support for critical incidents and upgrades. Project Delivery Support the delivery of strategic technology projects and programmes. Lead technical workstreams and project activities where required. Produce and maintain project documentation. Ensure solutions align with technical standards and organisational objectives. Leadership & Mentoring Mentor and support DevOps Engineers and technical team members. Contribute to technical skills development and knowledge sharing. Assist in maintaining technical skills matrices and training plans. Promote best practices across DevOps, cloud engineering and application support. Deputise for senior technical leadership when required. Key Skills & Experience Essential Strong experience with Microsoft Azure and Azure DevOps. Experience building and maintaining CI/CD pipelines. Experience supporting enterprise applications and business systems. Strong database administration and support experience. Experience with SQL Server, MySQL and PostgreSQL. Knowledge of ETL processes and data warehousing concepts. Experience with cloud infrastructure, automation and Infrastructure as Code. Strong troubleshooting and third-line support experience. Experience with monitoring, logging and application performance management. Scripting and automation skills. Experience working within Agile and DevOps environments. Desirable Microsoft Dynamics 365 Data Warehouse technologies Learning Management Systems Terraform Kubernetes PowerShell Azure Data Factory Azure SQL Microsoft Fabric Cloud security and governance experience General Responsibilities Participate in training, development and continuous professional development activities. Maintain awareness of current technologies, industry trends and best practices. Promote equality, diversity and inclusion. Comply with all health, safety, safeguarding and security requirements. Deliver a consistently high standard of customer service. Undertake additional duties as reasonably required by management. Benefits & Additional Information Salary of £51,000 per annum Primarily office-based role in Watford Working hours 08:30 - 17:00 Monday to Thursday Early finish of 16:30 on Fridays Opportunity to work on cloud transformation, data warehouse development, DevOps automation, and enterprise applications within a broad technology environment. Please note: The responsibilities outlined above are not exhaustive and may be amended from time to time to meet business requirements. They do not form part of any contract of employment. Provide your feedback on BizChat
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
28/07/2026
Full time
Introduction Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships. Job Overview As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high performing team culture. Job Responsibilities Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross functional teams to perform root cause analysis and implement production changes. Develop and support AI/ML solutions for troubleshooting and incident resolution. Mentor and guide team members to foster growth and drive strategic change. Build and maintain scalable, resilient, and market leading data solutions. Support budgetary and staffing considerations to optimize team performance. Engage in operational stability and disaster recovery planning. Implement automation tools to reduce toil and improve efficiency. Ensure compliance with risk controls and company wide standards. Build meaningful relationships across teams to achieve common goals. Required Qualifications Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms. Skilled in running production incident calls and managing incident resolution. Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk. Strong understanding of SLI/SLO/SLA and Error Budgets. Proficient in Python or PySpark for AI/ML modeling. Able to reduce toil by building automation tools for repeated tasks. Hands on experience in system design, resiliency, testing, operational stability, and disaster recovery. Awareness of risk controls and compliance with departmental and company wide standards. Collaborative team player with the ability to build meaningful relationships. Preferred Qualifications Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies. AWS and Databricks certifications. Advanced knowledge of AI/ML troubleshooting and incident resolution. Familiarity with budgetary and staffing optimization. Experience mentoring and guiding team members. Strong communication and interpersonal skills. Demonstrated ability to drive strategic change across teams. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
28/07/2026
Full time
Site Reliability Engineer (SRE) AWS Kubernetes Fully Remote (UK) 24/7 Shift Pattern (28-day rota including days & nights) Competitive + Bonus + Excellent Benefits Build resilient cloud platforms that support critical national services. We're recruiting Site Reliability Engineers to join a global leader in AI-powered customer experience and cloud technology. Following the award of a major government programme, they're expanding their engineering teams to build and support highly secure, cloud-native platforms that deliver sensitive communication services. This is an opportunity to join an organisation investing heavily in modern cloud engineering, automation and reliability. Working as part of a collaborative SRE team, you'll help ensure large-scale production environments remain secure, available and resilient, whilst continuously improving the way they're operated through automation and engineering best practice. If you enjoy solving production challenges, improving reliability and automating away operational toil, we'd love to hear from you. What you'll be doing Monitoring and maintaining highly available production platforms running in AWS Responding to and managing production incidents across a 24/7 service Investigating complex technical issues and restoring services quickly and effectively Developing automation to reduce manual operational tasks and improve platform resilience Building and improving monitoring, alerting and observability across cloud environments Working alongside Software, Platform, Cloud and Security Engineers to improve reliability and operational excellence Contributing to post-incident reviews and driving continuous service improvements Supporting containerised workloads using Kubernetes and Docker What we're looking for You'll ideally have experience in a Site Reliability Engineering, Production Engineering, Cloud Operations or NOC environment with exposure to: Linux systems administration AWS cloud infrastructure Kubernetes and Docker Production support and incident management Python, Bash or Go scripting Monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk or CloudWatch Networking fundamentals including DNS, TCP/IP and load balancing A passion for automation, continuous improvement and operational excellence Experience with Infrastructure as Code (Terraform), SRE principles (SLIs, SLOs), or regulated environments would be beneficial but isn't essential. Why join? This is far more than a traditional NOC role. You'll be joining an engineering-led organisation where reliability, automation and continuous improvement sit at the heart of the platform. Rather than simply responding to incidents, you'll work to prevent them by improving systems, automating operational processes and helping shape the future of highly resilient cloud services. If you're passionate about building reliable cloud platforms and enjoy solving complex technical problems in large-scale production environments, we'd love to hear from you. Apply today or contact Dave Carlisle at Spectrum IT Recruitment for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Fulltime on site role in Manchester MUST BE DV CLEARED CURRENTLY Up to 100,000 basic salary A global company are looking for a DV Cleared Infrastructure Engineer fulltime in London on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit
28/07/2026
Full time
Fulltime on site role in Manchester MUST BE DV CLEARED CURRENTLY Up to 100,000 basic salary A global company are looking for a DV Cleared Infrastructure Engineer fulltime in London on a permanent (37.5hr) basis. You'll be responsible for designing, implementing and supporting secure IT infrastructure, working across virtualisation, networking, storage, automation and platform technologies. You'll collaborate with technical teams to deliver resilient infrastructure solutions, provide technical leadership on complex issues, and support the ongoing health and optimisation of critical systems. Essential Skills VMware technologies (ESXi, vCenter, VMware Cloud Foundation) Windows, Linux and/or macOS server administration Containers and Kubernetes NSX (Virtualisation & Networking) Networking and storage technologies Scripting (PowerShell, Bash, Python or Java) Infrastructure automation and IaC using tools such as Ansible, Puppet, Terraform, Foreman, Kickstart/PXE or Microsoft Deployment Toolkit
