Remote Kubernetes Jobs

Stealth IT Consulting

AWS API Technical Engineer/Architect- Active SC

eTeam Workforce Limited

Site Reliability Engineer (SRE)

Cloud Engineer, AWS, Terraform, COR7559B

DevOps Engineer (IAM - Identity Access Management)

DevOps Engineer - Active SC, Linux, AWS

Hays Specialist Recruitment Limited

Senior AI engineer - UK Remote

Senior Platform Engineer

Infused Solutions Ltd

Azure Cloud Engineer / Platform Engineer x4 - SC Cleared

Senior Guidewire Developer

Aioi Nissay Dowa Europe

Java Backend Developer - London, UK (Fully REMOTE)

Randstad Technologies Recruitment

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Stealth IT Consulting

Contract: 3-6 months
Location: Remote
Sector: Public Sector
Clearance: Active SC required (used within last 12 months)
Rate: £525-£555/day inside IR35

Role Overview

Seeking an experienced AWS API Technical Architect to design secure, scalable API and microservices solutions across enterprise applications.

Key Responsibilities

Design serverless and microservices architectures on AWS
Define REST API standards and integration patterns
Support system/data integration across distributed services
Assess technical debt and recommend modernisation approaches
Work with product, delivery, and security teams on solution design and deployment
Design secure integrations with identity providers and access controls

Key Skills

Strong API and microservices architecture experience
AWS expertise, including services such as API Gateway, Lambda, EKS, Aurora/Postgres, Route 53, and VPC
Kubernetes and CI/CD knowledge (GitHub/Jenkins)
Monitoring/security tooling experience beneficial (CloudWatch, Grafana, ELK, Security Hub, GuardDuty)
Prior Public Sector industry experience is essential

Additional Info

Additional vetting required; onboarding may take longer than standard.

If this matches your skills and experience, please apply today!

AWS API Technical Architect

Contract: 3-6 months
Location: Remote
Sector: Public Sector
Clearance: Active SC required (used within last 12 months)
Rate: Competitive

Role Overview

Seeking an experienced AWS API Technical Architect to design secure, scalable API and microservices solutions across enterprise applications.

Key Responsibilities

Design serverless and microservices architectures on AWS
Define REST API standards and integration patterns
Support system/data integration across distributed services
Assess technical debt and recommend modernisation approaches
Work with product, delivery, and security teams on solution design and deployment
Design secure integrations with identity providers and access controls

Key Skills

Strong API and microservices architecture experience
AWS expertise, including services such as API Gateway, Lambda, EKS, Aurora/Postgres, Route 53, and VPC
Kubernetes and CI/CD knowledge (GitHub/Jenkins)
Monitoring/security tooling experience beneficial (CloudWatch, Grafana, ELK, Security Hub, GuardDuty)

Additional Info

Additional vetting required; onboarding may take longer than standard.

AWS API Technical Engineer/Architect- Active SC

Job Title: AWS API Technical Architect
Rate: £575p/d via Umbrella
Duration: 3-6 months (flexible on end date)
Location: Remote
Clearance required: SC (active and used in the last 12 months)
Nationality requirement: No dual-nationality restrictions

Job Description:

We are looking for an AWS API Engineer/Architect to design secure, scalable, and well-integrated API and microservices architectures across multiple client applications and services.

Key responsibilities are broadly expected to include:

Design serverless and microservices-based API architectures on AWS
Define and apply RESTful API design patterns and integration standards
Support system and data integration across distributed services
Assess and address technical debt, recommending pragmatic modernisation approaches
Work closely with product teams to design solutions that align to their roadmap and support their needs
Support deployment planning, cutover activities, and post go live stabilisation
Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions
Design the integration of applications with identity providers and secure access patterns

The services used across these systems are likely to include:

AWS Services (ie API Gateway, Lambda, Aurora RDS Postgres, EKS, ECR, STS, Route 53, VPC)
Kubernetes
CI/CD (eg GitHub, Jenkins)
Prometheus, Grafana
ELK
Apollo GraphQL, TypeScript
AWS Config, AWS Macie, AWS Guard Duty, AWS Security Hub, Amazon CloudWatch, Amazon CloudTrail

eTeam Workforce Limited

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Job Title: AWS API Technical Engineer/Architect- Active SC
Duration: 3-6 months (flexible on end date)
Location: Remote
Rate:559GBP/Day(Inside IR35)

Description and Location
We are looking for an AWS API Engineer/Data Architect to design secure, scalable, and well-integrated API and microservices architectures across multiple client applications and services.

“Key responsibilities are broadly expected to include:
* Design serverless and microservices-based API architectures on AWS
* Define and apply RESTful API design patterns and integration standards
* Support system and data integration across distributed services
* Assess and address technical debt, recommending pragmatic modernisation approaches
* Work closely with product teams to design solutions that align to their roadmap and support their needs
* Support deployment planning, cutover activities, and post-go-live stabilisation
* Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions
* Design the integration of applications with identity providers and secure access patterns”

“The services used across these systems are likely to include:
* AWS Services (ie API Gateway, Lambda, Aurora RDS Postgres, EKS, ECR, STS, Route 53, VPC)
* Kubernetes
* CI/CD (eg GitHub, Jenkins)
* Prometheus, Grafana
* ELK
* Apollo GraphQL, TypeScript
* AWS Config, AWS Macie, AWS Guard Duty, AWS Security Hub, Amazon CloudWatch, Amazon CloudTrail”

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.
Please note, candidates are often Shortlisted within 48 hours.

Lead Java Developer (exp GCP)

Play a leading role in migrating and rebuilding our core architecture in Java Spring Boot to align with a composable, cloud-native landscape.

Connector Development: Design and optimize technical connectors for a diverse mix of global channels, including generalist marketplaces, social commerce (eg, TikTok Shop), and quick-commerce (eg, Glovo, Deliveroo).

Catalog Publication Flow: Refocus efforts on rebuilding the catalog publication flow, addressing technical complexities such as category mapping, product variant synchronization, and asynchronous marketplace APIs.

Business Logic Migration: Collaborate on transferring complex Legacy business rules (pricing calculations, stock filtering, and fulfilment decisions) into the dedicated BCP assets to ensure OMC focuses purely on orchestration and connectivity.

System Reliability: Ensure 100% accurate Real Time synchronization of stock and price updates to prevent financial discrepancies and enhance the customer experience

Technical Skills

Java Spring Boot: Confirmed level proficiency for the architectural rebuild
Database: PostgreSQL
Cache: Redis/Valkey
Architecture: REST Architecture and Event-Driven architecture.
Cloud & Infrastructure: Google Cloud Platform GCP and Kubernetes clusters

Desirable

Experience with Python to facilitate the transition of Legacy components.

Site Reliability Engineer (SRE)

About Us We are a leading gaming and gambling solution software provider with a strong presence in the USA, UK, and Europe. Through partnerships with global gaming companies, we build cutting-edge technical platforms across sportsbooks, lottery, casino, virtual gaming, and financial trading. Our vision is to shape the future of gaming by transforming operations into intelligent, data-driven solutions that deliver exceptional customer experiences and create sustainable value for all stakeholders. We believe in teamwork, knowledge sharing, and transparency with accountability. The Role Were looking for a Site Reliability Engineer (SRE) to help shape and drive how we build and operate reliable, observable, and cost-efficient systems. Youll work closely with development, platform, and incident management teams to define what reliable means in measurable terms and build the tooling and processes to achieve it. Your work will directly influence the speed, stability, and scalability of our platform. Key Responsibilities Partner with development teams to define and manage SLOs/SLIs, and use error budgets to guide engineering decisions. Enhance observability ensuring metrics, logs, and tracing are in place to detect and fix issues proactively. Lead cost optimisation initiatives: monitor spend, rightsize workloads, tune autoscaling, and drive efficient infrastructure usage. Strengthen production readiness with pre-deployment checks, post-release validation, and robust platform guardrails. Introduce and run chaos engineering experiments to improve system resilience. Automate operational processes to reduce manual intervention across the stack. Contribute to major incident response, providing engineering expertise. Collaborate cross-functionally to raise the bar on platform stability, security, and performance. Required Skills & Experience 3+ years in SRE, Platform, or DevOps roles. Strong operational experience with Kubernetes (on-prem and AWS EKS). Proven track record defining and working with SLOs/SLIs in production environments. Deep understanding of observability (metrics, logging, tracing, telemetry

Do you enjoy designing and building scalable backend systems in the cloud - with Java at the core and AWS powering it all? My client is looking for a Senior Java Engineer to join a highly capable engineering team working on modern, cloud-native systems. This role offers real ownership, technical depth and the chance to shape how systems are built and run on AWS. What you’ll be doing Designing, developing and maintaining backend services using Java Building and operating cloud-native solutions on AWS Working with services such as EC2, ECS/EKS, Lambda, S3, RDS/DynamoDB and CloudWatch Contributing to architectural decisions and cloud best practices Improving system scalability, performance and resilience Working closely with DevOps, product and engineering teams Mentoring junior engineers and raising engineering standards What we’re looking for Strong commercial experience as a Senior Java Engineer Deep knowledge of modern Java (Java 11+) Hands-on AWS experience in production environments Experience designing and supporting distributed systems and microservices Strong understanding of RESTful APIs and event-driven architectures Experience with CI/CD pipelines and cloud-based deployments A proactive, problem-solving mindset Nice to have Spring / Spring Boot Infrastructure as Code (Terraform, CloudFormation) Containerisation (Docker, Kubernetes) Experience in high-availability or high-throughput environments This role would suit a senior engineer who enjoys building reliable cloud systems and taking ownership from design through to production. If you have any further questions on the role, please feel free to reach out to Brendan McCrory directly. Benefits: Work From Home

ADZN1_NI

Cloud Engineer, AWS, Terraform, COR7559B

This is an excellent opportunity for an AWS Cloud Engineer to join an Oxfordshire-based scale-up in the MedTech sector.

The Role

Working as part of a dedicated team, the primary focus of the AWS Cloud Engineer Engineer will be to design, build, and maintain secure, highly available, and scalable infrastructure in AWS, as well as implementing and managing Infrastructure as Code (IaC) solutions using Terraform. Additionally, the AWS Cloud Engineer will collaborate closely with Software Developers, will drive automation and will operate and improve containerised workloads and related orchestration tools.

The Company

The AWS Cloud Engineer will be joining a company whose platform has been scientifically proven to deliver safer, high-quality and efficient patient care, at an exciting time of growth and expansion into new markets. As a well-funded scale-up, they offer an entrepreneurial team spirit, where you’ll be contributing directly to the team’s success. Working predominantly remotely, you’d ideally be onsite a couple of times each month, although there will be other opportunities for meeting up as a team off-site.

Benefits

Predominantly remote working
Opportunities for certification and continued learning
25 days’ holiday, with the ability to purchase more
Share options
Private health insurance
Wellbeing days

What’s required to be successful in this role?

Demonstrable hands-on experience with Amazon Web Services (AWS), including EC2, S3, VPC, IAM, etc.
A proven track record in designing and managing highly available, scalable, and secure cloud architectures.
Hands-on experience with Infrastructure as Code (IaC) solutions using Terraform
Experience in containerisation - specifically with Kubernetes - would be highly beneficial, as would any experience of using Ansible for automation

So What’s Next?

If you are an experienced AWS Cloud Engineer looking for your next technical challenge and the opportunity to further develop your skills within a forward-thinking team that values automation, scalability, and modern engineering culture, we’d love to hear from you!

Cloud Engineer, AWS, Terraform

Corriculo Ltd acts as an employment agency and an employment business. #ChannelB #GB

Java Backend Developer - London, UK (Fully REMOTE)

Randstad Technologies Recruitment

Role: Java Backend Developer with Data Platform
Type: 6 Months Contract
Location: London, UK (Fully REMOTE)
Working Model: Fully REMOTE Payrate: £450 - £550 per Day on PAYE
£530 - £630 per Day on RUPAYE
£650 - £750 per Day on Inside IR35 via Umbrella The Role: Join our Data Infrastructure team to drive large-scale pipeline migrations and core platform development across our Flink and Lakehouse architecture. We are looking for an execution-focused engineer who can jump into existing codebases, work autonomously, and ship high-quality code reliably. Essential Skills: Strong Java, Python, Go, and GCP experience.
Ability to move quickly in ambiguous environments without waiting for direction.Bonus Points: Experience with JVM-based frameworks (Flink, Beam, Dataflow, or Spark).
Familiarity with BigQuery, SQL, Scala, and DevOps/Cloud infrastructure (Kubernetes).
Prior experience with pipeline migrations and cost optimizationThis is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. sukkala2 @ randstaddigital. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy

Key Responsibilities:

Thought Leadership : Understand Market Trends and Implement best practices and tools. Participate in awards like NASTA, TESTA.
Test Case Design: Design and develop comprehensive test cases to cover functional and non-functional requirements.
Test Script Development: Create and maintain test scripts using various testing tools and frameworks.
Test Data Management: Identify and manage test data requirements, including data creation, masking, and provisioning.
Collaboration: Collaborate with cross-functional teams, including development, testing, Scrum Master and operations, to ensure smooth testing activities.
Test Case Review: Review and maintain test cases to ensure they are up-to-date and relevant.

Requirements:

o 15+ years of experience in software testing, with a focus on test design and development.

o Strong understanding of STLC techniques, testing methodologies and tools. Well versed with Agile and Waterfall methodology.

o Strong analytical skills, with the ability to analyse complex issues and provide effective solutions.

o Design and develop comprehensive test cases and test scripts to cover functional and non functional requirements.

o Thought Leadership in Software testing area. Understand market trends and apply those trends for project. Provide Guidance for innovation and AI enabled solution in testing area.

o Mentor team for Technical White paper publishing at international forums.

o Identify and manage test requirements, including data creation, masking and provisioning.

o Collaborate with test environment teams to set up and configure test environments.

o Execute test cases (if required) , analyse results and identify defects.

o Report and track defects, collaborating with development teams to resolve issues.

o Work closely with other QC team members to automate the execution and verification of reports created by the various company products.

o Work closely with various Dev team members to understand testing objectives and ensure that problems are resolved in a timely and efficient manner.

o Prepare Reusable functions, which improve the robustness, re-usability, and maintainability of their test scripts.

o Review and escalate environment issues.

o Co-ordinate with test leads and external teams to ensure the completion of the project on schedule.

o Report progress of Automation scripting, framework or automation execution, issues with test cases, test data, application.

o Excellent communication and interpersonal skills.

o Strong technical expertise in test automation. Experience with test automation tools, such as Selenium, Cypress, AccelQ, AVO, TOSCA, UiPath, Appium, or Cucumber.

o Having competencies around DevOps, Continuous Testing, Continuous Integration and Continuous Delivery. Experience with DevOps tools, such as Jenkins, Docker, or Kubernetes.

o Hands on experience in any of the COTS products in scope -SalesForce, ServiceNow, SAP , Oracle- CRM, NetCracker is mandatory

o Certifications in test automation, such as Certified Test Automation Engineer (CTAE) or any market leading test automation tool certification like TOSCA, UiPath etc

Nice to Have:

Scripting Languages: Experience with scripting languages, such as Python or Java.

DevOps Engineer (IAM - Identity Access Management)

Senior Site Reliability Engineer (AWS / CDK / TypeScript)

Remote First Occasional travel to Leeds
£40,000 - £50,000 + benefits
No Sponsorship Available

VIQU have partnered with a major UK technology-led organisation undergoing a significant transformation following a large-scale business merger. As part of a wider move away from contractor-heavy delivery, they are investing heavily in permanent engineering talent and building out a high-performing cloud and platform function.

They are looking for a Site Reliability Engineer to help improve the reliability, scalability and automation of their AWS estate. This is a hands-on engineering role working across cloud infrastructure, observability, CI/CD and platform tooling, helping development teams deliver faster and more reliably.

You ll be joining a collaborative engineering environment with the opportunity to influence platform standards, improve operational resilience and support modern DevOps and SRE practices across the business.

Key responsibilities:

Build, maintain and improve scalable AWS infrastructure.
Develop and manage Infrastructure as Code using AWS CDK.
Support CI/CD pipelines and deployment automation.
Improve monitoring, logging and observability across distributed systems.
Support incident management, root cause analysis and platform reliability improvements.
Work closely with engineering and architecture teams to improve operational performance and security.
Contribute to cloud best practice, automation and platform engineering standards.

Key requirements:

Strong experience in a Site Reliability Engineering, DevOps or Platform Engineering role.
Strong AWS experience within production environments.
Experience with AWS CDK (TypeScript preferred).
Strong TypeScript experience.
Experience with CI/CD tooling such as Jenkins or GitLab CI.
Containerisation experience with Docker, Kubernetes, EKS or ECS.
Experience with observability tooling such as Prometheus, Grafana, AppDynamics or OpenSearch.
Experience with scripting or development using Python, TypeScript or Java.
Understanding of cloud security and reliability best practices.
AWS certifications are desirable but not essential.

Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on (url removed) . Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more exciting roles and opportunities, follow us on IT Recruitment.

In this role, you will: Design, build, and maintain CI/CD pipelines for IAM components, policies, connectors, microservices, and integrations. Enable automated testing, security scanning, and controlled deployments across DEV/TEST/PROD environments. Implement continuous improvement to streamline IAM release processes. Develop and maintain IaC (Terraform, Ansible for deploying IAM infrastructure, identity policies, directories, and supporting platforms. Ensure consistent, repeatable environments and compliance with architectural standards. Develop scripts and automation for account lifecycle operations, access provisioning, and system integrations. Deploy IAM services or related microservices on Kubernetes, cloud-native platforms, and serverless environments. Manage containerisation, service mesh integrations, certificates, and secrets for IAM workloads. Embed security into the build and deployment process, including vulnerability scanning, secrets detection, and code quality checks. Work with cybersecurity teams to ensure compliance with Zero Trust principles and IAM security policies. Collaborate with IAM architects, security teams, and application owners on design and integration requirements. Create and maintain documentation for pipelines, IaC, deployment patterns, and operational processes. To be successful in this role, you should meet the following requirements: Key Skills & Experience Technical Skills Infrastructure as code (Terraform & GCP Provisioning) Terraform core, GCP Infra, Policy as code, develop the capability to manage, maintain and write policies, Containerization & Kubernetes (GKE), Docker, Kubernetes, Helm / Kustomize, GKE Ops CI/CD engineering, pipeline authoring, artifacts management, testing automation, deployment strategy Data pipeline and DevOps (KAFKA / PubSub) - Kafka basics, schema registry, streaming infra and monitoring Graph platform engineering, Neo4j basics, backups, recovery and DR GDS/APOC, observability DevSecOps & platform security, security scanning, IAM and identity, network security, compliance Release engineering and governance, release ops, change management, documentation Regionalisation and compliance, regional deployments and failover, data residency, conditional access Soft Skills Strong problem-solving and troubleshooting capabilities. Ability to work collaboratively across security, engineering, and operations teams. Excellent communication and documentation skills. Experience working in Agile/Scrum environments. Experience of Privileged Access Management and identity access management Understanding and experience of technologies deployed at a large scale in a global IT enterprise Experience of working in an Agile team - managing workload in Jira and engagements in Jira Service Desk Ability to adapt and understand new technologies - being self-motivated to learn Strong interpersonal, influencing, communication and report-writing skills Ability to interact appropriately with users of various technical skill levels Ability to work in a multi country, culturally diverse and time-zone separated role.GCS is acting as an Employment Business in relation to this vacancy

Senior Site Reliability Engineer (AWS / CDK / TypeScript) Remote First – Occasional travel to Leeds
£40,000 - £50,000 + benefits
No Sponsorship Available VIQU have partnered with a major UK technology-led organisation undergoing a significant transformation following a large-scale business merger. As part of a wider move away from contractor-heavy delivery, they are investing heavily in permanent engineering talent and building out a high-performing cloud and platform function. They are looking for a Site Reliability Engineer to help improve the reliability, scalability and automation of their AWS estate. This is a hands-on engineering role working across cloud infrastructure, observability, CI/CD and platform tooling, helping development teams deliver faster and more reliably. You’ll be joining a collaborative engineering environment with the opportunity to influence platform standards, improve operational resilience and support modern DevOps and SRE practices across the business. Key responsibilities: Build, maintain and improve scalable AWS infrastructure.
Develop and manage Infrastructure as Code using AWS CDK.
Support CI/CD pipelines and deployment automation.
Improve monitoring, logging and observability across distributed systems.
Support incident management, root cause analysis and platform reliability improvements.
Work closely with engineering and architecture teams to improve operational performance and security.
Contribute to cloud best practice, automation and platform engineering standards.
Key requirements: Strong experience in a Site Reliability Engineering, DevOps or Platform Engineering role.
Strong AWS experience within production environments.
Experience with AWS CDK (TypeScript preferred).
Strong TypeScript experience.
Experience with CI/CD tooling such as Jenkins or GitLab CI.
Containerisation experience with Docker, Kubernetes, EKS or ECS.
Experience with observability tooling such as Prometheus, Grafana, AppDynamics or OpenSearch.
Experience with scripting or development using Python, TypeScript or Java.
Understanding of cloud security and reliability best practices.
AWS certifications are desirable but not essential.
Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on . Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more exciting roles and opportunities, follow us on LinkedIn @VIQU IT Recruitment

DevOps Engineer - Active SC, Linux, AWS

Senior Site Reliability Engineer (AWS/CDK/TypeScript)

Remote First - Occasional travel to Leeds
£40,000 - £50,000 + benefits
No Sponsorship Available

You’ll be joining a collaborative engineering environment with the opportunity to influence platform standards, improve operational resilience and support modern DevOps and SRE practices across the business.

Key responsibilities:

Build, maintain and improve scalable AWS infrastructure.
Develop and manage Infrastructure as Code using AWS CDK.
Support CI/CD pipelines and deployment automation.
Improve monitoring, logging and observability across distributed systems.
Support incident management, root cause analysis and platform reliability improvements.
Work closely with engineering and architecture teams to improve operational performance and security.
Contribute to cloud best practice, automation and platform engineering standards.

Key requirements:

Strong experience in a Site Reliability Engineering, DevOps or Platform Engineering role.
Strong AWS experience within production environments.
Experience with AWS CDK (TypeScript preferred).
Strong TypeScript experience.
Experience with CI/CD tooling such as Jenkins or GitLab CI.
Containerisation experience with Docker, Kubernetes, EKS or ECS.
Experience with observability tooling such as Prometheus, Grafana, AppDynamics or OpenSearch.
Experience with Scripting or development using Python, TypeScript or Java.
Understanding of cloud security and reliability best practices.
AWS certifications are desirable but not essential.

Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on (see below). Know someone great? Refer them and receive up to £1,000 if successful (terms apply).

Hays Specialist Recruitment Limited

+11

Up to £425 per day - Inside IR35

London / Primarily Remote

6 months

My client is an instantly recognisable consultancy who require 2 DevOps Engineers with Active SC Clearance for an end client within the Public Sector.Key Requirements:

Proven commercial experience working as a DevOps Engineer within the Public Sector.
Active SC Clearance.
Strong experience with Linux (RHEL/Ubuntu), AWS, and high-availability Kubernetes environments (EKS/RKE) including load balancing and multi-site failover.
Proficient in containerisation and orchestration using Docker, Kubernetes, and Helm.
Skilled in IaC and automation with Terraform, Ansible, and supporting cloud-native platform modernisation.
Hands-on with CI/CD pipelines (GitLab CI), Git version control, and automated delivery practices.
Experienced with monitoring and observability tooling such as Prometheus and Grafana.
Knowledge of data and streaming technologies including Kafka, MongoDB, MySQL, and PostgreSQL, plus PKI, secrets management, and IAM.
Excellent communication skills.

Nice to have:

Puppet, KeyCloak, Vault, and experience supporting microservice architectures.
Immediate availability.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Senior AI engineer - UK Remote

Azure Architect / Senior Cloud Engineer (Infrastructure) - SC Cleared

Location: Fully Remote (occasional UK site visits)

The Role

We are looking for an experienced Azure Architect / Senior Cloud Engineer with a strong infrastructure background to support a large-scale secure cloud transformation programme within a highly regulated environment.

This role will suit a hands-on senior consultant who can operate across both architecture and engineering disciplines, delivering secure, scalable and resilient Azure infrastructure solutions within complex enterprise environments.

Key Responsibilities

Design and implement Azure cloud infrastructure solutions
Deliver secure and scalable cloud architectures
Support cloud migration and transformation initiatives
Build and maintain Azure landing zones and governance frameworks
Work across hybrid infrastructure environments
Produce high and low-level technical designs
Implement Infrastructure as Code and automation solutions
Collaborate with security, networking and platform teams
Ensure compliance with security and operational standards
Provide technical leadership across cloud infrastructure delivery

Required Skills & Experience

Strong Azure architecture and cloud engineering experience
Extensive infrastructure engineering background
Experience working within secure or highly regulated environments
Strong technical knowledge of:
- Azure IaaS and core platform services
- Azure networking and connectivity
- Identity and access management
- Hybrid cloud infrastructure
- Enterprise infrastructure technologies
Strong Infrastructure as Code experience (Terraform, Bicep or ARM)
Experience with CI/CD pipelines and automation tooling
Strong understanding of cloud security best practices
Ability to work autonomously within complex technical environments
Excellent communication and stakeholder engagement skills

Desirable Skills

Experience within defence, government or secure delivery environments
Kubernetes / AKS experience
Exposure to DevSecOps practices
Experience supporting large-scale enterprise cloud programmes

Mandatory Requirements

Active SC Clearance
Sole UK National status
Eligibility to work within highly secure UK environments

Additional Information

Fully remote working
Occasional UK site visits required
Long-term engagement
Immediate availability preferred

Infused Solutions Ltd

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: £60,000 - £70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You’ll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows
Develop and optimise RESTful APIs and microservices for AI services
Build cloud-native backend systems aligned with best engineering practices
Collaborate with Data Scientists to productionise ML models
Improve system performance, observability, reliability, and security
Contribute to CI/CD pipelines, automated testing, and infrastructure automation
Support integration and interoperability across enterprise platforms
Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering
Advanced Python skills and experience with FastAPI, Flask, or Django
Experience building scalable APIs and microservices
Strong SQL and relational database knowledge (PostgreSQL preferred)
Experience with AWS and/or Azure cloud environments
Understanding of distributed systems and scalable architectures
Exposure to machine learning, NLP, or AI-driven systems
Experience with CI/CD pipelines, testing, and containerisation
Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What’s on Offer Fully remote working within the UK
Opportunity to work on cutting-edge AI and machine learning systems
Collaborative engineering environment
Exposure to modern cloud and AI technologies
Strong career growth opportunities within a growing AI function

Senior Platform Engineer

Build and operate the platforms that make AI and machine learning work at scale

We’re looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery.

This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production.

While you’ll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a “deploy models all day” role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale.

What you’ll be doing

You’ll be responsible for building a production-grade AI / ML platform, not just running clusters.

You will:

Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams
Extend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished product
Provideplatform-level support for:
- Model development and experimentation
- Model packaging, deployment, and promotion
- Scalable inference and LLM-based workloads
Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers
Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose
Own platform operability, reliability, security, and lifecycle management in production
Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers
Contribute to architectural decisions while remaining hands-on with implementation

What we’re looking for

This role is ideal for someone who sees themselves first and foremost as a platform engineer, with the depth to support AI and ML workloads properly.

Essential experience:

Strong background as a Senior Platform Engineer or Senior DevOps Engineer
Deep, hands-on experience building and operating Kubernetes-based platforms
Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform)
Proven experience building internal platforms for other engineers, not just running workloads
Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability
Comfortable collaborating closely with MLOps engineers and data scientists, even where responsibilities differ

ML platform & MLOps knowledge (important)

You don’t need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production.

Experience or exposure to areas such as:

MLOps platforms (e.g. Kubeflow or similar frameworks)
Model serving and inference platforms (e.g. KServe, vLLM, or equivalent)
Supporting LLM-based workloads, including performance and scaling considerations
Notebook environments such as JupyterHub
Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions

This ensures you’re building a platform that actually works for AI use cases - not a generic compute layer.

Desirable experience

Working in organisations with a clear AI or data platform strategy
Supporting data scientists or ML engineers at scale
Experience in regulated, secure, or high-assurance environments
Designing platforms that balance flexibility, governance, and control

If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now!

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.