Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
18/11/2025
Full time
Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
03/03/2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
We're a growing SaaS business building a modern, cloud-native platform used by customers every day - and we're looking for an experienced .NET Developer to help us scale, evolve and push the product forward. This is a hands-on role where you'll work on core services, design scalable systems, and influence how our platform runs in the cloud. You'll be part of a collaborative engineering team that values clean code, smart architecture and shipping quality software at pace. If you enjoy solving complex problems, working with modern cloud tech, and seeing your work make a real impact - this one's for you. What you'll be doing Designing, building and maintaining backend services using .NET / C# Developing cloud-native solutions running on Azure or AWS Building and consuming APIs that power a modern SaaS platform Improving scalability, performance, resilience and security Working with cloud services such as storage, messaging and background processing Collaborating closely with product, frontend and DevOps teams Contributing to architectural decisions and technical best practices Supporting CI/CD pipelines and automated deployments What we're looking for Strong commercial experience with .NET / C# Experience building and maintaining cloud-hosted applications Solid understanding of REST APIs and service-based architectures Experience with relational databases (SQL Server, PostgreSQL, etc.) Comfortable working in a SaaS or product-led environment A mindset focused on quality, scalability and continuous improvement Someone who enjoys ownership and solving real-world problems Nice to have (but not essential) Experience with Azure services (App Services, Functions, Service Bus, etc.) Containerisation and orchestration experience (Docker / Kubernetes) Infrastructure as Code exposure (Bicep, ARM, Terraform) Event-driven or microservices architectures Automated testing and CI/CD experience Why join us? Real ownership over systems, services and technical direction Modern cloud stack with time to build things properly A supportive, collaborative engineering culture Clear progression as the product and platform scale Flexible working with a strong focus on balance and sustainability
03/03/2026
Full time
We're a growing SaaS business building a modern, cloud-native platform used by customers every day - and we're looking for an experienced .NET Developer to help us scale, evolve and push the product forward. This is a hands-on role where you'll work on core services, design scalable systems, and influence how our platform runs in the cloud. You'll be part of a collaborative engineering team that values clean code, smart architecture and shipping quality software at pace. If you enjoy solving complex problems, working with modern cloud tech, and seeing your work make a real impact - this one's for you. What you'll be doing Designing, building and maintaining backend services using .NET / C# Developing cloud-native solutions running on Azure or AWS Building and consuming APIs that power a modern SaaS platform Improving scalability, performance, resilience and security Working with cloud services such as storage, messaging and background processing Collaborating closely with product, frontend and DevOps teams Contributing to architectural decisions and technical best practices Supporting CI/CD pipelines and automated deployments What we're looking for Strong commercial experience with .NET / C# Experience building and maintaining cloud-hosted applications Solid understanding of REST APIs and service-based architectures Experience with relational databases (SQL Server, PostgreSQL, etc.) Comfortable working in a SaaS or product-led environment A mindset focused on quality, scalability and continuous improvement Someone who enjoys ownership and solving real-world problems Nice to have (but not essential) Experience with Azure services (App Services, Functions, Service Bus, etc.) Containerisation and orchestration experience (Docker / Kubernetes) Infrastructure as Code exposure (Bicep, ARM, Terraform) Event-driven or microservices architectures Automated testing and CI/CD experience Why join us? Real ownership over systems, services and technical direction Modern cloud stack with time to build things properly A supportive, collaborative engineering culture Clear progression as the product and platform scale Flexible working with a strong focus on balance and sustainability
Product Security Engineer - Specialist (SAST | DAST | SCA | Threat Modeling | Incident Response | DevSecOps | PCI-DSS)- Hybrid (London) We are seeking an experienced Product Security Leader (PSL) to embed security across the full product life cycle - from secure design and development through deployment and production resilience. This is a high-impact contract role ideal for a security professional who thrives at the intersection of engineering, security architecture, and incident response. What You'll Own Define and implement product security policies, standards, and tooling across the SDLC Lead threat modelling initiatives (eg, STRIDE, PASTA) for new and existing applications Manage and prioritize the product vulnerability backlog , tracking SLAs, aging metrics, and remediation progress Oversee findings from SAST, DAST, and SCA tools , ensuring effective triage and resolution Coordinate and manage bug bounty submissions and remediation workflows Conduct Root Cause Analysis (RCA) for security incidents and systemic vulnerabilities Act as Incident Commander or Investigation Lead during security events Facilitate tabletop exercises to strengthen incident readiness Partner with CI/CD teams to embed security controls into pipelines What You Bring Deep expertise in: Vulnerability Management Secure SDLC practices Security Architecture & Design Threat Modeling Strong background in: Incident Response leadership Root Cause Analysis Bug Bounty program coordination Experience implementing security tooling in CI/CD environments: SAST DAST SCA Experience working within regulated environments (eg, PCI-DSS, SOC 2, GDPR) Proven ability to drive cross-functional security initiatives with Engineering, Product, and Compliance teams Excellent stakeholder management and communication skills Preferred Technical Exposure CI/CD platforms (eg, GitHub Actions, GitLab CI, Jenkins) Cloud platforms (AWS, Azure, or GCP) Containerization & orchestration (Docker, Kubernetes) Application security testing tools (eg, Checkmarx, Veracode, Fortify, Burp Suite, etc.) Vulnerability management platforms (eg, Qualys, Tenable, Rapid7) Ideal Profile This role suits a senior-level Product Security professional who can operate strategically while remaining technically credible - someone comfortable influencing engineering teams, driving remediation priorities, and leading during high-pressure security incidents.
03/03/2026
Contractor
Product Security Engineer - Specialist (SAST | DAST | SCA | Threat Modeling | Incident Response | DevSecOps | PCI-DSS)- Hybrid (London) We are seeking an experienced Product Security Leader (PSL) to embed security across the full product life cycle - from secure design and development through deployment and production resilience. This is a high-impact contract role ideal for a security professional who thrives at the intersection of engineering, security architecture, and incident response. What You'll Own Define and implement product security policies, standards, and tooling across the SDLC Lead threat modelling initiatives (eg, STRIDE, PASTA) for new and existing applications Manage and prioritize the product vulnerability backlog , tracking SLAs, aging metrics, and remediation progress Oversee findings from SAST, DAST, and SCA tools , ensuring effective triage and resolution Coordinate and manage bug bounty submissions and remediation workflows Conduct Root Cause Analysis (RCA) for security incidents and systemic vulnerabilities Act as Incident Commander or Investigation Lead during security events Facilitate tabletop exercises to strengthen incident readiness Partner with CI/CD teams to embed security controls into pipelines What You Bring Deep expertise in: Vulnerability Management Secure SDLC practices Security Architecture & Design Threat Modeling Strong background in: Incident Response leadership Root Cause Analysis Bug Bounty program coordination Experience implementing security tooling in CI/CD environments: SAST DAST SCA Experience working within regulated environments (eg, PCI-DSS, SOC 2, GDPR) Proven ability to drive cross-functional security initiatives with Engineering, Product, and Compliance teams Excellent stakeholder management and communication skills Preferred Technical Exposure CI/CD platforms (eg, GitHub Actions, GitLab CI, Jenkins) Cloud platforms (AWS, Azure, or GCP) Containerization & orchestration (Docker, Kubernetes) Application security testing tools (eg, Checkmarx, Veracode, Fortify, Burp Suite, etc.) Vulnerability management platforms (eg, Qualys, Tenable, Rapid7) Ideal Profile This role suits a senior-level Product Security professional who can operate strategically while remaining technically credible - someone comfortable influencing engineering teams, driving remediation priorities, and leading during high-pressure security incidents.
Palantir Foundry SME/Lead Data Engineer Location: London with occasional international travel Contract - 6-12 months Inside IR35 Rate: Negotiable DOE Our client is looking for a Palantir Foundry SME, to take ownership of the platform architecture, data modelling standards, pipeline development and integration strategy. You will work closely with stakeholders across business, data, and engineering teams to translate operational problems into scalable Foundry solutions. This is a hands-on engineering role combined with some architectural leadership. Key Responsibilities Design and implement scalable data pipelines within Palantir Foundry Develop and maintain Ontology objects, operational workflows and applications within Foundry Build and optimise data transformations using PySpark, SQL and Python Integrate Foundry with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Implement CI/CD workflows using tools such as Jenkins, GitLab, or GitHub Actions Work with containerised deployments using Docker and orchestration via Kubernetes Implement governance, data lineage, and security best practices Optimise performance, cost and reliability of Foundry pipelines Build operational dashboards and data applications for business users Mentor internal teams and establish platform standards and best practices Act as the senior technical interface with Palantir Essential Experience Proven commercial experience implementing and scaling Palantir Foundry Strong experience in Python, SQL and Spark (PySpark preferred) Experience building data models and ontologies Strong understanding of ETL/ELT design patterns Cloud-native architecture experience (AWS/Azure/GCP) Experience with REST APIs and system integrations Familiarity with DevOps and Infrastructure-as-Code principles (eg Terraform) Strong understanding of data governance and security controls Desirable Skills Experience with big data tooling (eg Apache Spark, Kafka) Experience integrating Foundry with ERP/CRM platforms Knowledge of data science and ML workflows Experience in regulated or security-sensitive environments Exposure to operational decision-support systems
03/03/2026
Contractor
Palantir Foundry SME/Lead Data Engineer Location: London with occasional international travel Contract - 6-12 months Inside IR35 Rate: Negotiable DOE Our client is looking for a Palantir Foundry SME, to take ownership of the platform architecture, data modelling standards, pipeline development and integration strategy. You will work closely with stakeholders across business, data, and engineering teams to translate operational problems into scalable Foundry solutions. This is a hands-on engineering role combined with some architectural leadership. Key Responsibilities Design and implement scalable data pipelines within Palantir Foundry Develop and maintain Ontology objects, operational workflows and applications within Foundry Build and optimise data transformations using PySpark, SQL and Python Integrate Foundry with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Implement CI/CD workflows using tools such as Jenkins, GitLab, or GitHub Actions Work with containerised deployments using Docker and orchestration via Kubernetes Implement governance, data lineage, and security best practices Optimise performance, cost and reliability of Foundry pipelines Build operational dashboards and data applications for business users Mentor internal teams and establish platform standards and best practices Act as the senior technical interface with Palantir Essential Experience Proven commercial experience implementing and scaling Palantir Foundry Strong experience in Python, SQL and Spark (PySpark preferred) Experience building data models and ontologies Strong understanding of ETL/ELT design patterns Cloud-native architecture experience (AWS/Azure/GCP) Experience with REST APIs and system integrations Familiarity with DevOps and Infrastructure-as-Code principles (eg Terraform) Strong understanding of data governance and security controls Desirable Skills Experience with big data tooling (eg Apache Spark, Kafka) Experience integrating Foundry with ERP/CRM platforms Knowledge of data science and ML workflows Experience in regulated or security-sensitive environments Exposure to operational decision-support systems
Cloud DevOps Engineer x 2 - Manchester (2 Days Onsite) Up to £55,000 | Up to £71,000 | Hybrid Working MUST have active SC clearance We're hiring two Cloud DevOps Engineers to join high-performing Cloud Pods delivering enterprise-grade AWS platforms across the UK. If you enjoy building cloud platforms properly - automation-first, infrastructure-as-code driven, secure by design - this is for you. The Role You'll be part of a focused Cloud Pod, working in agile teams to design, build and evolve modern AWS platforms. Hands-on engineering across: AWS (enterprise environments) Terraform & Infrastructure as Code Kubernetes (EKS) Ansible GitLab & CI/CD pipelines AWS Landing Zone Accelerator (LZA) Hybrid cloud (including AWS Outposts) This isn't ticket-based support work. It's platform engineering with impact. You'll help drive: ? Reusable, standardised cloud platforms ? Secure landing zones (SCPs, CloudFormation, YAML) ? Monitoring, patching & life cycle management ? DevOps best practice & automation ? Continuous improvement across architecture & engineering What You'll Bring Active SC clearance Strong hands-on AWS experience Terraform & automation mindset Kubernetes (EKS) knowledge CI/CD pipeline experience Solid infrastructure & networking fundamentals Experience working in agile environments Familiarity with ITIL frameworks Bonus if you've worked with: Landing Zone Accelerator (LZA) Identity Manager Enterprise multi-account AWS environments Why Join? Collaborative, supportive engineering culture Genuine investment in training & certifications Real enterprise cloud challenges Clear progression routes Hybrid working - 2 days per week in Manchester Two Opportunities Available Cloud DevOps Engineer - Up to £55k Senior Cloud DevOps Engineer - Up to £75k RSG Plc is acting as an Employment Agency in relation to this vacancy.
03/03/2026
Full time
Cloud DevOps Engineer x 2 - Manchester (2 Days Onsite) Up to £55,000 | Up to £71,000 | Hybrid Working MUST have active SC clearance We're hiring two Cloud DevOps Engineers to join high-performing Cloud Pods delivering enterprise-grade AWS platforms across the UK. If you enjoy building cloud platforms properly - automation-first, infrastructure-as-code driven, secure by design - this is for you. The Role You'll be part of a focused Cloud Pod, working in agile teams to design, build and evolve modern AWS platforms. Hands-on engineering across: AWS (enterprise environments) Terraform & Infrastructure as Code Kubernetes (EKS) Ansible GitLab & CI/CD pipelines AWS Landing Zone Accelerator (LZA) Hybrid cloud (including AWS Outposts) This isn't ticket-based support work. It's platform engineering with impact. You'll help drive: ? Reusable, standardised cloud platforms ? Secure landing zones (SCPs, CloudFormation, YAML) ? Monitoring, patching & life cycle management ? DevOps best practice & automation ? Continuous improvement across architecture & engineering What You'll Bring Active SC clearance Strong hands-on AWS experience Terraform & automation mindset Kubernetes (EKS) knowledge CI/CD pipeline experience Solid infrastructure & networking fundamentals Experience working in agile environments Familiarity with ITIL frameworks Bonus if you've worked with: Landing Zone Accelerator (LZA) Identity Manager Enterprise multi-account AWS environments Why Join? Collaborative, supportive engineering culture Genuine investment in training & certifications Real enterprise cloud challenges Clear progression routes Hybrid working - 2 days per week in Manchester Two Opportunities Available Cloud DevOps Engineer - Up to £55k Senior Cloud DevOps Engineer - Up to £75k RSG Plc is acting as an Employment Agency in relation to this vacancy.
AI Platform Engineer London Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python , with experience deploying containerised services on Kubernetes using Terraform . Solid understanding of distributed systems, cloud architecture, and API design , with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments. Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAMS Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
02/03/2026
Full time
AI Platform Engineer London Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python , with experience deploying containerised services on Kubernetes using Terraform . Solid understanding of distributed systems, cloud architecture, and API design , with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments. Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAMS Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
My client is looking for a Kubernetes Specialist to work 3 days onsite in Sheffield (Candidate can be based in Leeds to work 3 days a week in office in Leeds). Job Description Top Skils- Kubernetes - 5+ years experience Design, deploy, and manages containerized applications within Kubernetes clusters, ensuring high availability, security, and scalability. Key requirements include proficiency in Kubernetes architecture, Linux networking, CI/CD pipelines, IaC (Terraform), and scripting (Go/Python). The role involves optimizing cluster performance, managing services, and supporting developer workflows. wiz.io +5 Key Responsibilities Cluster Management: Deploy, scale, and maintain production-grade Kubernetes clusters. Infrastructure as Code (IaC): Automate environment provisioning using Terraform or Ansible. CI/CD & GitOps: Build and manage pipelines using tools like Jenkins, GitLab CI/CD, Argo CD, or Flux. Networking & Security: Configure networking (Ingress, CNI, service mesh) and implement security best practices (RBAC, network policies). Monitoring & Observability: Implement logging and monitoring solutions (Prometheus, Grafana, Fluentd). Troubleshooting: Diagnose and resolve cluster issues related to networking, storage, and application performance Required Skills and Qualifications Kubernetes Expertise: Deep knowledge of Kubernetes components, architecture, and APIs. Containerization: Proficiency with Docker and container runtimes. Cloud Experience: Strong experience with public cloud providers (AWS, Azure, or GCP). Scripting/Coding: Ability to write automation scripts in Bash, Python, or Go. Linux Knowledge: Strong understanding of Linux system administration. Certifications: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) preferred. Ideal Candidate Profile 5+ years of experience managing Kubernetes in production. Experience with GitOps workflows and managing infrastructure at scale. Excellent problem-solving skills and a focus on automation. GCS is acting as an Employment Business in relation to this vacancy.
02/03/2026
Contractor
My client is looking for a Kubernetes Specialist to work 3 days onsite in Sheffield (Candidate can be based in Leeds to work 3 days a week in office in Leeds). Job Description Top Skils- Kubernetes - 5+ years experience Design, deploy, and manages containerized applications within Kubernetes clusters, ensuring high availability, security, and scalability. Key requirements include proficiency in Kubernetes architecture, Linux networking, CI/CD pipelines, IaC (Terraform), and scripting (Go/Python). The role involves optimizing cluster performance, managing services, and supporting developer workflows. wiz.io +5 Key Responsibilities Cluster Management: Deploy, scale, and maintain production-grade Kubernetes clusters. Infrastructure as Code (IaC): Automate environment provisioning using Terraform or Ansible. CI/CD & GitOps: Build and manage pipelines using tools like Jenkins, GitLab CI/CD, Argo CD, or Flux. Networking & Security: Configure networking (Ingress, CNI, service mesh) and implement security best practices (RBAC, network policies). Monitoring & Observability: Implement logging and monitoring solutions (Prometheus, Grafana, Fluentd). Troubleshooting: Diagnose and resolve cluster issues related to networking, storage, and application performance Required Skills and Qualifications Kubernetes Expertise: Deep knowledge of Kubernetes components, architecture, and APIs. Containerization: Proficiency with Docker and container runtimes. Cloud Experience: Strong experience with public cloud providers (AWS, Azure, or GCP). Scripting/Coding: Ability to write automation scripts in Bash, Python, or Go. Linux Knowledge: Strong understanding of Linux system administration. Certifications: Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) preferred. Ideal Candidate Profile 5+ years of experience managing Kubernetes in production. Experience with GitOps workflows and managing infrastructure at scale. Excellent problem-solving skills and a focus on automation. GCS is acting as an Employment Business in relation to this vacancy.
Role Title: Solution Architect Duration: contract to run until 17/07/2026 Location: Hybrid. Ideally 1 day per week minimum on client site but not required. Rate: up to 874 p/d Umbrella inside IR35 Clearance required: Must be, or be eligible to be SC cleared (UK passport or Indefinite Leave to Remain, 5 years' UK residency, no more than 28 consecutive days out of the UK) Role purpose / summary Capgemini seeks a hands-on detailed delivery architect responsible for leading the design, assurance, and implementation of secure, scalable, and high-performance network and IT solutions-particularly within telecommunications environments. The architect will review approve and sign-off of all project lifecycle technical documents, perform project technical assurance, technical integrity, compliance, and value for money across the full project lifecycle, supporting both internal and customer-facing services. Key Responsibilities: Lead the creation, development, and maintenance of architectural documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), interface specifications, and sub-system specifications throughout project lifecycles. Provide technical assurance, governance, and value for money assessments for new, existing, and decommissioned telecom and IT services. Collaborate with cross-functional teams (technical SMEs, project managers, business analysts, security/compliance, testers, suppliers, and third parties) to define requirements and deliver integrated solutions. Act as the primary technical point of contact with telecom operators and internal/external stakeholders, facilitating effective communication and collaboration. Ensure solutions comply with industry standards, regulatory requirements, legal frameworks (e.g., IPA 2016, GDPR), and security/compliance standards (e.g., ISO 27001, NIST, TSA). Provide technical leadership in solution integration, design reviews, documentation, and testing. Support operational teams with troubleshooting, performance optimisation, and knowledge sharing. Manage technical risks, issues, assumptions, dependencies, and all types of change throughout project lifecycles. Proactively identify and resolve delivery project issues (technical and non-technical). Contribute to continuous improvement and organisational knowledge sharing. Required Skills and Experience: 5-10 years' experience working with telecommunications operators and delivering technical solutions in enterprise or service provider environments. Minimum 5 years' experience in: Writing and managing HLD/LLD documents for complex end-to-end IT and Telco solutions. Designing and integrating IT solutions (e.g., data repositories, middleware, workflow, CRM) with Telco networks and supporting technologies (OSS, BSS, IMS, NAT, CGNAT, IPv4/IPv6). Defining interface specifications (protocols, messages, formats). Leading teams and collaborating with multiple suppliers/third parties in a 'one-team' approach. Report writing and documentation. Strong analytical, verbal, and written communication skills. Proven experience in software engineering and understanding of software development principles. Experience with cloud technologies and platforms (AWS, Azure, Google Cloud), including hybrid and private data centres. Experience with Big Data solutions, data governance, and data protection strategies. Familiarity with CI/CD pipelines and tools (Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, Datadog). Understanding of IP networking and address translation solutions (e.g., CGNAT). Experience working in highly regulated industries (telecoms, government) and delivering secure solutions. Ability to ensure full compliance with legal, technical, and policy processes, including audit requirements. Personal Traits: Passion for assurance, technology, and value for money. Team player with strong stakeholder relationship-building skills. Initiative and proactive problem-solving. Willingness and ability to learn new technical skills. Qualifications and Certifications (Desirable): Degree in Computer Science, Network Engineering, or related technical field. Relevant cloud architecture certifications (AWS, Azure, Google Cloud). Telecoms and cloud industry certifications. Experience with security frameworks and compliance standards. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
02/03/2026
Contractor
Role Title: Solution Architect Duration: contract to run until 17/07/2026 Location: Hybrid. Ideally 1 day per week minimum on client site but not required. Rate: up to 874 p/d Umbrella inside IR35 Clearance required: Must be, or be eligible to be SC cleared (UK passport or Indefinite Leave to Remain, 5 years' UK residency, no more than 28 consecutive days out of the UK) Role purpose / summary Capgemini seeks a hands-on detailed delivery architect responsible for leading the design, assurance, and implementation of secure, scalable, and high-performance network and IT solutions-particularly within telecommunications environments. The architect will review approve and sign-off of all project lifecycle technical documents, perform project technical assurance, technical integrity, compliance, and value for money across the full project lifecycle, supporting both internal and customer-facing services. Key Responsibilities: Lead the creation, development, and maintenance of architectural documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), interface specifications, and sub-system specifications throughout project lifecycles. Provide technical assurance, governance, and value for money assessments for new, existing, and decommissioned telecom and IT services. Collaborate with cross-functional teams (technical SMEs, project managers, business analysts, security/compliance, testers, suppliers, and third parties) to define requirements and deliver integrated solutions. Act as the primary technical point of contact with telecom operators and internal/external stakeholders, facilitating effective communication and collaboration. Ensure solutions comply with industry standards, regulatory requirements, legal frameworks (e.g., IPA 2016, GDPR), and security/compliance standards (e.g., ISO 27001, NIST, TSA). Provide technical leadership in solution integration, design reviews, documentation, and testing. Support operational teams with troubleshooting, performance optimisation, and knowledge sharing. Manage technical risks, issues, assumptions, dependencies, and all types of change throughout project lifecycles. Proactively identify and resolve delivery project issues (technical and non-technical). Contribute to continuous improvement and organisational knowledge sharing. Required Skills and Experience: 5-10 years' experience working with telecommunications operators and delivering technical solutions in enterprise or service provider environments. Minimum 5 years' experience in: Writing and managing HLD/LLD documents for complex end-to-end IT and Telco solutions. Designing and integrating IT solutions (e.g., data repositories, middleware, workflow, CRM) with Telco networks and supporting technologies (OSS, BSS, IMS, NAT, CGNAT, IPv4/IPv6). Defining interface specifications (protocols, messages, formats). Leading teams and collaborating with multiple suppliers/third parties in a 'one-team' approach. Report writing and documentation. Strong analytical, verbal, and written communication skills. Proven experience in software engineering and understanding of software development principles. Experience with cloud technologies and platforms (AWS, Azure, Google Cloud), including hybrid and private data centres. Experience with Big Data solutions, data governance, and data protection strategies. Familiarity with CI/CD pipelines and tools (Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, Datadog). Understanding of IP networking and address translation solutions (e.g., CGNAT). Experience working in highly regulated industries (telecoms, government) and delivering secure solutions. Ability to ensure full compliance with legal, technical, and policy processes, including audit requirements. Personal Traits: Passion for assurance, technology, and value for money. Team player with strong stakeholder relationship-building skills. Initiative and proactive problem-solving. Willingness and ability to learn new technical skills. Qualifications and Certifications (Desirable): Degree in Computer Science, Network Engineering, or related technical field. Relevant cloud architecture certifications (AWS, Azure, Google Cloud). Telecoms and cloud industry certifications. Experience with security frameworks and compliance standards. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Job description: We are looking for an experienced Python Backend Developer with strong cloud expertise and hands-on experience building or supporting enterprise-grade platforms. This role is ideal for someone who has worked on complex, high-performance systems such as trading platforms, financial systems, or other large-scale enterprise applications. Key Responsibilities Design, develop, and maintain scalable backend services using Python Build and enhance REST APIs and microservices Work on high-throughput, low-latency systems Deploy and manage applications on AWS cloud infrastructure Collaborate with cross-functional teams including DevOps and architecture Optimize performance, scalability, and system reliability Work with SQL/NoSQL databases and large datasets Required Skills & Experience: Strong backend development experience with Python Proven experience working on enterprise-grade trading platforms OR complex enterprise systems Hands-on experience with AWS (compute, storage, networking, security) Experience building high-performance, scalable systems Strong knowledge of REST APIs, microservices, and distributed systems Experience with SQL and/or NoSQL databases Familiarity with data querying tools such as Athena Understanding of CI/CD pipelines and DevOps practices Experience with Docker/Kubernetes is a plus
02/03/2026
Full time
Job description: We are looking for an experienced Python Backend Developer with strong cloud expertise and hands-on experience building or supporting enterprise-grade platforms. This role is ideal for someone who has worked on complex, high-performance systems such as trading platforms, financial systems, or other large-scale enterprise applications. Key Responsibilities Design, develop, and maintain scalable backend services using Python Build and enhance REST APIs and microservices Work on high-throughput, low-latency systems Deploy and manage applications on AWS cloud infrastructure Collaborate with cross-functional teams including DevOps and architecture Optimize performance, scalability, and system reliability Work with SQL/NoSQL databases and large datasets Required Skills & Experience: Strong backend development experience with Python Proven experience working on enterprise-grade trading platforms OR complex enterprise systems Hands-on experience with AWS (compute, storage, networking, security) Experience building high-performance, scalable systems Strong knowledge of REST APIs, microservices, and distributed systems Experience with SQL and/or NoSQL databases Familiarity with data querying tools such as Athena Understanding of CI/CD pipelines and DevOps practices Experience with Docker/Kubernetes is a plus
AWS Solution Architect - AWS (Amazon) - Kubernetes - Terraform. My client are looking for an AWS Solutions Architect to design, deliver, and govern secure, highly automated cloud platforms within complex enterprise and regulated environments. This role has a strong focus on AWS architecture, supported by modern GitOps delivery practices and Infrastructure as Code (Terraform). You will play a key role in defining Cloud architecture standards, enabling zero-touch deployments, and supporting cloud migration and modernisation initiatives. You must be a UK National and be prepared to go through Security clearance. Key Responsibilities: Design and architect secure, scalable solutions on Amazon Web Services (AWS) Define and own cloud architecture patterns, standards, and best practices Implement and promote GitOps-based delivery models, enabling automated, zero-touch deployments Design and maintain Infrastructure as Code (IaC) solutions, with a strong preference for Terraform Provide architectural oversight across CI/CD pipelines, cloud networking, identity, and security controls Support on-premise to cloud and hybrid migration initiatives Collaborate with platform, DevOps, security, and application teams to ensure compliant and resilient solutions Produce and maintain high-quality architecture documentation, including HLDs, LLDs, and design diagrams Act as a technical authority within security-cleared and regulated environments Essential Skills & Experience Proven experience as a Solutions Architect in enterprise AWS environments AWS Solutions Architect certification (Associate required, Professional preferred) Strong experience with GitOps principles, focusing on automation and zero-touch pipelines GitLab preferred, but tooling-agnostic Extensive Infrastructure as Code experience, with a strong preference for Terraform Strong understanding of AWS security, IAM, networking, and governance Experience delivering solutions in regulated or security-sensitive environments Experience with Kubernetes and container orchestration Exposure to Amazon EKS and/or OpenShift Experience migrating workloads from on-premise to cloud (eg OpenShift to EKS) Knowledge of supporting infrastructure services such as ingress, observability, and platform tooling Experience with hybrid or multi-cloud architectures
02/03/2026
Full time
AWS Solution Architect - AWS (Amazon) - Kubernetes - Terraform. My client are looking for an AWS Solutions Architect to design, deliver, and govern secure, highly automated cloud platforms within complex enterprise and regulated environments. This role has a strong focus on AWS architecture, supported by modern GitOps delivery practices and Infrastructure as Code (Terraform). You will play a key role in defining Cloud architecture standards, enabling zero-touch deployments, and supporting cloud migration and modernisation initiatives. You must be a UK National and be prepared to go through Security clearance. Key Responsibilities: Design and architect secure, scalable solutions on Amazon Web Services (AWS) Define and own cloud architecture patterns, standards, and best practices Implement and promote GitOps-based delivery models, enabling automated, zero-touch deployments Design and maintain Infrastructure as Code (IaC) solutions, with a strong preference for Terraform Provide architectural oversight across CI/CD pipelines, cloud networking, identity, and security controls Support on-premise to cloud and hybrid migration initiatives Collaborate with platform, DevOps, security, and application teams to ensure compliant and resilient solutions Produce and maintain high-quality architecture documentation, including HLDs, LLDs, and design diagrams Act as a technical authority within security-cleared and regulated environments Essential Skills & Experience Proven experience as a Solutions Architect in enterprise AWS environments AWS Solutions Architect certification (Associate required, Professional preferred) Strong experience with GitOps principles, focusing on automation and zero-touch pipelines GitLab preferred, but tooling-agnostic Extensive Infrastructure as Code experience, with a strong preference for Terraform Strong understanding of AWS security, IAM, networking, and governance Experience delivering solutions in regulated or security-sensitive environments Experience with Kubernetes and container orchestration Exposure to Amazon EKS and/or OpenShift Experience migrating workloads from on-premise to cloud (eg OpenShift to EKS) Knowledge of supporting infrastructure services such as ingress, observability, and platform tooling Experience with hybrid or multi-cloud architectures
Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. Ideal Skills: Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog. Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform
02/03/2026
Full time
Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. Ideal Skills: Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog. Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform
Lynx are working with a leading consultancy who partner with fast-moving engineering teams who build and run their businesses in the cloud. They need pragmatic, code-literate security specialists. The Role They're looking for a hands-on AWS Security Architect who lives and breathes AWS. You'll dissect designs, model attack paths, and show engineering teams what good really looks like. Depending on the engagement, you might run a threat model, assess CI/CD pipelines, learn a vendor DSL for a PoC, or build internal tooling. They don't expect you to know everything - just to be curious, practical, and willing to dive in. What You'll Do Threat Modelling & Architecture Reviews: Break down AWS services, map trust boundaries, build attack trees, and define security requirements before code ships. Security Automation: Build IaC-driven checks, Lambda/Step Function tooling, CI/CD gates, and CSPM rules to enforce secure defaults at scale. Hands-On Testing & Hardening: Perform cloud-native testing (IAM escalation, container escape attempts, infra abuse) and guide fixes directly via PRs. DevSecOps Enablement: Pair with platform teams, review Terraform/CloudFormation/Kubernetes, and promote least privilege, logging, and runtime controls. Knowledge Sharing: Contribute to documentation, demos, and continuous learning within the team. What You Bring Must-Haves Deep AWS internals knowledge Technical/IT degree (2:1 or above) Proven threat-modelling experience (STRIDE, attack trees, etc.) Strong coding skills (Python, Go, Rust, etc.) IaC expertise - Terraform, CrossPlane, Pulumi, CloudFormation, AWS CDK CI/CD security automation experience (GitHub Actions, GitLab CI, Jenkins, etc.) Nice-to-Haves AWS Security Specialty, SANS, OSCP (skills over certificates, though!) Multi-cloud or hybrid security experience Container security & supply-chain/SBOM tooling Applied cryptography fundamentals (KMS, envelope encryption, etc.) Incident response or red/blue/purple team exposure OSS security contributions or AWS community involvement
02/03/2026
Full time
Lynx are working with a leading consultancy who partner with fast-moving engineering teams who build and run their businesses in the cloud. They need pragmatic, code-literate security specialists. The Role They're looking for a hands-on AWS Security Architect who lives and breathes AWS. You'll dissect designs, model attack paths, and show engineering teams what good really looks like. Depending on the engagement, you might run a threat model, assess CI/CD pipelines, learn a vendor DSL for a PoC, or build internal tooling. They don't expect you to know everything - just to be curious, practical, and willing to dive in. What You'll Do Threat Modelling & Architecture Reviews: Break down AWS services, map trust boundaries, build attack trees, and define security requirements before code ships. Security Automation: Build IaC-driven checks, Lambda/Step Function tooling, CI/CD gates, and CSPM rules to enforce secure defaults at scale. Hands-On Testing & Hardening: Perform cloud-native testing (IAM escalation, container escape attempts, infra abuse) and guide fixes directly via PRs. DevSecOps Enablement: Pair with platform teams, review Terraform/CloudFormation/Kubernetes, and promote least privilege, logging, and runtime controls. Knowledge Sharing: Contribute to documentation, demos, and continuous learning within the team. What You Bring Must-Haves Deep AWS internals knowledge Technical/IT degree (2:1 or above) Proven threat-modelling experience (STRIDE, attack trees, etc.) Strong coding skills (Python, Go, Rust, etc.) IaC expertise - Terraform, CrossPlane, Pulumi, CloudFormation, AWS CDK CI/CD security automation experience (GitHub Actions, GitLab CI, Jenkins, etc.) Nice-to-Haves AWS Security Specialty, SANS, OSCP (skills over certificates, though!) Multi-cloud or hybrid security experience Container security & supply-chain/SBOM tooling Applied cryptography fundamentals (KMS, envelope encryption, etc.) Incident response or red/blue/purple team exposure OSS security contributions or AWS community involvement
Job Title : Software Team Lead Location : Yate, North Bristol (2/3 Days On-Site Per Week) Salary : Up to £80,000 (Depending on Experience) Job Overview : We re seeking a Software Team Lead to oversee the design, development, and deployment of innovative software solutions while mentoring and guiding a team of skilled engineers. This role combines strategic technical leadership with hands-on development, ensuring engineering excellence and seamless project delivery. Business Overview : My client develops Energy Management & Storage Systems that ensure the reliable and secure operation of critical energy infrastructure. They build: • Edge control software for real-time decision-making • Centralised data infrastructure to collect, store, and analyse system information • User-facing tools that visualise and interact with live power system operations In this role, you ll work across the full technology stack from embedded edge devices to cloud services and web applications helping design and refine the systems that keep modern energy networks running safely and efficiently. Responsibilities of the Role : • Lead and mentor a team of 4 8 engineers. • Drive architecture and design discussions for new features and systems. • Produce clean, efficient, and well-documented code. • Conduct code reviews and uphold engineering best practices. • Troubleshoot and resolve technical issues across the software stack • Hold regular 1:1s, performance reviews, and career development discussions. • Foster a culture of collaboration, accountability, and continuous improvement. • Guide day-to-day team operations, including stand-ups, sprint planning, and retrospectives. Required Skills & Experience: Technical Qualifications; • 5+ years of professional software development experience. • Strong proficiency in one or more languages such as Python, Java, or JavaScript/TypeScript. • Full-stack development experience, ideally with React (or similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks (e.g., OAuth2, Keycloak) is a significant advantage. Leadership & Communication; • Demonstrated experience leading engineering teams or mentoring developers. • Strong communication and interpersonal skills. • Ability to translate business requirements into effective technical solutions. • Familiarity with Agile/Scrum development practices. To find out more, please apply with an up-to-date CV and you will be contacted and given further information. Note : All applicants must be able to work in the UK without the need for Sponsorship now or in the future.
28/02/2026
Full time
Job Title : Software Team Lead Location : Yate, North Bristol (2/3 Days On-Site Per Week) Salary : Up to £80,000 (Depending on Experience) Job Overview : We re seeking a Software Team Lead to oversee the design, development, and deployment of innovative software solutions while mentoring and guiding a team of skilled engineers. This role combines strategic technical leadership with hands-on development, ensuring engineering excellence and seamless project delivery. Business Overview : My client develops Energy Management & Storage Systems that ensure the reliable and secure operation of critical energy infrastructure. They build: • Edge control software for real-time decision-making • Centralised data infrastructure to collect, store, and analyse system information • User-facing tools that visualise and interact with live power system operations In this role, you ll work across the full technology stack from embedded edge devices to cloud services and web applications helping design and refine the systems that keep modern energy networks running safely and efficiently. Responsibilities of the Role : • Lead and mentor a team of 4 8 engineers. • Drive architecture and design discussions for new features and systems. • Produce clean, efficient, and well-documented code. • Conduct code reviews and uphold engineering best practices. • Troubleshoot and resolve technical issues across the software stack • Hold regular 1:1s, performance reviews, and career development discussions. • Foster a culture of collaboration, accountability, and continuous improvement. • Guide day-to-day team operations, including stand-ups, sprint planning, and retrospectives. Required Skills & Experience: Technical Qualifications; • 5+ years of professional software development experience. • Strong proficiency in one or more languages such as Python, Java, or JavaScript/TypeScript. • Full-stack development experience, ideally with React (or similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks (e.g., OAuth2, Keycloak) is a significant advantage. Leadership & Communication; • Demonstrated experience leading engineering teams or mentoring developers. • Strong communication and interpersonal skills. • Ability to translate business requirements into effective technical solutions. • Familiarity with Agile/Scrum development practices. To find out more, please apply with an up-to-date CV and you will be contacted and given further information. Note : All applicants must be able to work in the UK without the need for Sponsorship now or in the future.
A leading global financial services business has an exciting opportunity for a Platform Lead / Engineering Manager to join a dynamic team and play a central part in shaping and extending our internal developer platform which underpins how engineers build, deploy and operate applications across the organisation. Your decisions will directly influence developer experience, security and scalability. You will lead a distributed engineering team, support their development, and guide day-to-day technical direction for the platform. You will define and refine the product vision, using customer feedback, stakeholder needs and market insight to set priorities and maintain a clear backlog. The role requires close collaboration with application developers, product owners, security and data teams, and includes contributing to enterprise architecture reviews to maintain engineering quality and compliance. Essential Skills / Experience Strong familiarity with the Kubernetes ecosystem and hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root cause analysis Review pull requests in Python and Golang that directly interact with the Kubernetes API Tech Stack AWS EKS Cilium Kyverno Karpenter Python Golang Kanban CNCF Stack GitOps / CD Policy as Code IaC Observability Visible presence in the cloud native community through open source contributions, community engagement, or conference speaking would be amazing but not essential.
26/02/2026
Full time
A leading global financial services business has an exciting opportunity for a Platform Lead / Engineering Manager to join a dynamic team and play a central part in shaping and extending our internal developer platform which underpins how engineers build, deploy and operate applications across the organisation. Your decisions will directly influence developer experience, security and scalability. You will lead a distributed engineering team, support their development, and guide day-to-day technical direction for the platform. You will define and refine the product vision, using customer feedback, stakeholder needs and market insight to set priorities and maintain a clear backlog. The role requires close collaboration with application developers, product owners, security and data teams, and includes contributing to enterprise architecture reviews to maintain engineering quality and compliance. Essential Skills / Experience Strong familiarity with the Kubernetes ecosystem and hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root cause analysis Review pull requests in Python and Golang that directly interact with the Kubernetes API Tech Stack AWS EKS Cilium Kyverno Karpenter Python Golang Kanban CNCF Stack GitOps / CD Policy as Code IaC Observability Visible presence in the cloud native community through open source contributions, community engagement, or conference speaking would be amazing but not essential.
A leading global financial services business has an exciting opportunity for a Platform Lead / Engineering Manager to join a dynamic team and play a central part in shaping and extending our internal developer platform which underpins how engineers build, deploy and operate applications across the organisation. Your decisions will directly influence developer experience, security and scalability. You will lead a distributed engineering team, support their development, and guide day-to-day technical direction for the platform. You will define and refine the product vision, using customer feedback, stakeholder needs and market insight to set priorities and maintain a clear backlog. The role requires close collaboration with application developers, product owners, security and data teams, and includes contributing to enterprise architecture reviews to maintain engineering quality and compliance. Essential Skills / Experience Strong familiarity with the Kubernetes ecosystem and hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root cause analysis Review pull requests in Python and Golang that directly interact with the Kubernetes API Tech Stack AWS EKS Cilium Kyverno Karpenter Python Golang Kanban CNCF Stack GitOps / CD Policy as Code IaC Observability Visible presence in the cloud native community through open source contributions, community engagement, or conference speaking would be amazing but not essential.
26/02/2026
Full time
A leading global financial services business has an exciting opportunity for a Platform Lead / Engineering Manager to join a dynamic team and play a central part in shaping and extending our internal developer platform which underpins how engineers build, deploy and operate applications across the organisation. Your decisions will directly influence developer experience, security and scalability. You will lead a distributed engineering team, support their development, and guide day-to-day technical direction for the platform. You will define and refine the product vision, using customer feedback, stakeholder needs and market insight to set priorities and maintain a clear backlog. The role requires close collaboration with application developers, product owners, security and data teams, and includes contributing to enterprise architecture reviews to maintain engineering quality and compliance. Essential Skills / Experience Strong familiarity with the Kubernetes ecosystem and hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter). Build out - Namespace-as-a-Service capabilities Review and challenge Kubernetes-related architectural proposals Debug complex issues across the Kubernetes stack using structured root cause analysis Review pull requests in Python and Golang that directly interact with the Kubernetes API Tech Stack AWS EKS Cilium Kyverno Karpenter Python Golang Kanban CNCF Stack GitOps / CD Policy as Code IaC Observability Visible presence in the cloud native community through open source contributions, community engagement, or conference speaking would be amazing but not essential.
Role Title: Platform Engineer / SRE Duration: 6 Months Location: Milton Keynes (1 Day per Month Onsite) Rate: 550- 650p/d via Umbrella Clearance: Credit Check Required What You will do Operate and enhance our Kubernetes platform across AWS, Azure, and on-prem. Lead incident response, problem management, and root-cause analysis. Deliver cluster lifecycle work: upgrades, patching, node pools, CNI/CSI, ingress, and Rancher operations. Own observability, dashboards, alerting, and SLOs/SLIs. Implement GitOps (Fleet) and reduce toil through automation and strong governance. Apply secure API gateway and WAF patterns. Work with distributed system patterns, including event brokers and asynchronous messaging. Maintain security posture: CVE remediation, GRC controls, scanning pipelines. Your Skills Deep knowledge of Kubernetes, Rancher, GitOps, Linux, and cloud networking. Understanding of API gateway and WAF patterns. Experience with distributed systems and event?driven architectures. Strong automation/scripting (Python, Go, Bash, PowerShell, .NET). IaC: Terraform for foundational/bootstrap cluster provisioning. Crossplane as an orchestration layer (leveraging Terraform providers). Ability to work securely within PCI DSS / GDPR patterns. CI/CD: Concourse, GitHub Actions, Azure DevOps. Observability: Grafana, Prometheus, Jaeger/Tempo, CloudWatch, Loki, OpenTelemetry. Nice to Have AWS operational experience. Service mesh (Istio/Kuma). Hybrid cloud experience (AWS + Azure + on-prem). Payments or regulated industry background. Success Looks Like High uptime and platform stability. Reduced toil through automation and GitOps. Smooth, predictable upgrade cycles. Fewer CVEs and platform risks. Faster onboarding for new tenants and workloads
26/02/2026
Contractor
Role Title: Platform Engineer / SRE Duration: 6 Months Location: Milton Keynes (1 Day per Month Onsite) Rate: 550- 650p/d via Umbrella Clearance: Credit Check Required What You will do Operate and enhance our Kubernetes platform across AWS, Azure, and on-prem. Lead incident response, problem management, and root-cause analysis. Deliver cluster lifecycle work: upgrades, patching, node pools, CNI/CSI, ingress, and Rancher operations. Own observability, dashboards, alerting, and SLOs/SLIs. Implement GitOps (Fleet) and reduce toil through automation and strong governance. Apply secure API gateway and WAF patterns. Work with distributed system patterns, including event brokers and asynchronous messaging. Maintain security posture: CVE remediation, GRC controls, scanning pipelines. Your Skills Deep knowledge of Kubernetes, Rancher, GitOps, Linux, and cloud networking. Understanding of API gateway and WAF patterns. Experience with distributed systems and event?driven architectures. Strong automation/scripting (Python, Go, Bash, PowerShell, .NET). IaC: Terraform for foundational/bootstrap cluster provisioning. Crossplane as an orchestration layer (leveraging Terraform providers). Ability to work securely within PCI DSS / GDPR patterns. CI/CD: Concourse, GitHub Actions, Azure DevOps. Observability: Grafana, Prometheus, Jaeger/Tempo, CloudWatch, Loki, OpenTelemetry. Nice to Have AWS operational experience. Service mesh (Istio/Kuma). Hybrid cloud experience (AWS + Azure + on-prem). Payments or regulated industry background. Success Looks Like High uptime and platform stability. Reduced toil through automation and GitOps. Smooth, predictable upgrade cycles. Fewer CVEs and platform risks. Faster onboarding for new tenants and workloads
Head of Software Engineering Exeter, Devon (Hybrid-Working) Market Rates Plus an excellent company benefits package (including 25 days holiday plus bank holidays, Private Healthcare, Bonuses, Pension, etc.) Skills and Experience: Proven leadership experience leading a multidisciplinary technology function encompassing software development (Backend/Cloud) and preferably hardware/firmware engineering. Extensive experience successfully driving large-scale architectural transformation and modernisation projects (eg, monolithic to microservices, Legacy stack replacement, etc.). Expertise in cloud-native, scalable system design within a high-throughput, low-latency environment, preferably telematics/IoT. Deep understanding of modern web and mobile architecture, containerisation (Docker, Kubernetes, etc.) and serverless patterns. Demonstrable ability to set and enforce high standards for code quality, technical documentation and development practices. Proven experience in leading and mentoring technical managers and managing a large engineering budget. Excellent stakeholder and communication skills, including the ability to communicate complex technical concepts to executives. An understanding of my client's current technology stack (PHP, React and Native Mobile) and experience migrating off similar platforms. Experience with Python and the AWS ecosystem (EC2, S3, Lambda, RDS, etc.). Must have recent experience working with and to ISO 9001 or ISO 27001 standards. Familiarity with test-driven design methodologies (TDD). The Opportunity: In this high-profile, high-impact, strategic role you will be the senior technical authority driving my client's strategic evolution towards a scalable, software-first SaaS platform. The successful post-holder will hold responsibility for the entire digital ecosystem (across the Web, Mobile and Cloud technologies), ensuring their technical vision aggressively pursues software-led growth, while continuing to improve the hardware solution which remains their core business offering. The Head of Software Engineering will lead a multi-disciplinary engineering team, encompassing Frontend, Backend, Mobile, Hardware, DevOps and Quality Assurance; fostering a culture of technical rigour that integrates software agility with the continued evolution of their core technology-stack. Applications: Please contact John Noonan here at ISR to learn more about our client who are continuing to grow and dominate their sector here in the UK with their expertise and range of technology products?
26/02/2026
Full time
Head of Software Engineering Exeter, Devon (Hybrid-Working) Market Rates Plus an excellent company benefits package (including 25 days holiday plus bank holidays, Private Healthcare, Bonuses, Pension, etc.) Skills and Experience: Proven leadership experience leading a multidisciplinary technology function encompassing software development (Backend/Cloud) and preferably hardware/firmware engineering. Extensive experience successfully driving large-scale architectural transformation and modernisation projects (eg, monolithic to microservices, Legacy stack replacement, etc.). Expertise in cloud-native, scalable system design within a high-throughput, low-latency environment, preferably telematics/IoT. Deep understanding of modern web and mobile architecture, containerisation (Docker, Kubernetes, etc.) and serverless patterns. Demonstrable ability to set and enforce high standards for code quality, technical documentation and development practices. Proven experience in leading and mentoring technical managers and managing a large engineering budget. Excellent stakeholder and communication skills, including the ability to communicate complex technical concepts to executives. An understanding of my client's current technology stack (PHP, React and Native Mobile) and experience migrating off similar platforms. Experience with Python and the AWS ecosystem (EC2, S3, Lambda, RDS, etc.). Must have recent experience working with and to ISO 9001 or ISO 27001 standards. Familiarity with test-driven design methodologies (TDD). The Opportunity: In this high-profile, high-impact, strategic role you will be the senior technical authority driving my client's strategic evolution towards a scalable, software-first SaaS platform. The successful post-holder will hold responsibility for the entire digital ecosystem (across the Web, Mobile and Cloud technologies), ensuring their technical vision aggressively pursues software-led growth, while continuing to improve the hardware solution which remains their core business offering. The Head of Software Engineering will lead a multi-disciplinary engineering team, encompassing Frontend, Backend, Mobile, Hardware, DevOps and Quality Assurance; fostering a culture of technical rigour that integrates software agility with the continued evolution of their core technology-stack. Applications: Please contact John Noonan here at ISR to learn more about our client who are continuing to grow and dominate their sector here in the UK with their expertise and range of technology products?
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
25/02/2026
Full time
We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MS INDLON Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.
We are recruiting for a NetApp Openshift Engineer on contract to work for a leading Banking Group. The role will be based 2 days per week in either London, Sheffield, Birmingham or Edinburgh offices and 3 days remotely. Key responsibilities and required skills focus on using NetApp Trident for dynamic storage provisioning within OpenShift and managing NetApp ONTAP (on-premises or in the cloud). Job Responsibilities NetApp Trident Management : Installing, configuring, and managing the NetApp Trident storage orchestrator (CSI driver) to enable dynamic provisioning of persistent volumes (PVs) for stateful applications. OpenShift Administration : Managing Red Hat OpenShift Container Platform (OCP) clusters (installing, updating, scaling). Storage Configuration : Configuring NetApp storage backends (NFS/SAN) to support container applications. OpenShift Virtualization : Supporting the migration of virtual machines (VMs) to OpenShift using NetApp storage, including cold/warm migrations and live migration support. Data Protection : Implementing data protection and disaster recovery strategies using NetApp Trident Protect (formerly Astra Control) and NetApp SnapMirror technologies. Automation : Utilizing Ansible Automation Platform to automate deployment and management tasks. Cloud Integration: Supporting hybrid cloud setups involving NetApp Cloud Volumes ONTAP, Azure NetApp Files, Google Cloud NetApp Volumes, or FSx for NetApp ONTAP in AWS. Key Skills and Qualifications Deep knowledge of Kubernetes & OpenShift: Understanding of OCP architecture, node management, and operator-based services (OperatorHub). NetApp Portfolio Expertise: Proficiency in NetApp ONTAP, FlexPod, and/or Trident CSI. Container Storage Interface (CSI): Practical experience with CSI-compliant storage provisioning. Linux System Administration: Experience with RHEL or RHEL CoreOS. Virtualization Experience: Familiarity with VMware vSphere, Red Hat Virtualization, or KubeVirt. Automation Tools: Experience with Ansible or Terraform.
25/02/2026
Contractor
We are recruiting for a NetApp Openshift Engineer on contract to work for a leading Banking Group. The role will be based 2 days per week in either London, Sheffield, Birmingham or Edinburgh offices and 3 days remotely. Key responsibilities and required skills focus on using NetApp Trident for dynamic storage provisioning within OpenShift and managing NetApp ONTAP (on-premises or in the cloud). Job Responsibilities NetApp Trident Management : Installing, configuring, and managing the NetApp Trident storage orchestrator (CSI driver) to enable dynamic provisioning of persistent volumes (PVs) for stateful applications. OpenShift Administration : Managing Red Hat OpenShift Container Platform (OCP) clusters (installing, updating, scaling). Storage Configuration : Configuring NetApp storage backends (NFS/SAN) to support container applications. OpenShift Virtualization : Supporting the migration of virtual machines (VMs) to OpenShift using NetApp storage, including cold/warm migrations and live migration support. Data Protection : Implementing data protection and disaster recovery strategies using NetApp Trident Protect (formerly Astra Control) and NetApp SnapMirror technologies. Automation : Utilizing Ansible Automation Platform to automate deployment and management tasks. Cloud Integration: Supporting hybrid cloud setups involving NetApp Cloud Volumes ONTAP, Azure NetApp Files, Google Cloud NetApp Volumes, or FSx for NetApp ONTAP in AWS. Key Skills and Qualifications Deep knowledge of Kubernetes & OpenShift: Understanding of OCP architecture, node management, and operator-based services (OperatorHub). NetApp Portfolio Expertise: Proficiency in NetApp ONTAP, FlexPod, and/or Trident CSI. Container Storage Interface (CSI): Practical experience with CSI-compliant storage provisioning. Linux System Administration: Experience with RHEL or RHEL CoreOS. Virtualization Experience: Familiarity with VMware vSphere, Red Hat Virtualization, or KubeVirt. Automation Tools: Experience with Ansible or Terraform.
