240 Platform Engineer jobs in the United Kingdom

Mid-Level Platform / DevOps Engineer – InsurTech - Azure, Kubernetes, Terraform, PowerShell, CI/CD

Oliver Bernard are currently seeking a strong Mid-Level Platform / DevOps Engineer to join a well-established team for an InsurTech start-up company in London. This hire is part of a period of transformation across the business focused around expanding their product and instilling a strong DevOps / Platform Engineering culture whilst driving transformation and innovation.

The team require a Mid-Level Engineer to support their DevOps team in their efforts to scale through a series of greenfield projects focused around Azure, Containers, Terraform, CI/CD, Monitoring, Automation & more.

The ideal candidate will have at least 3-4 years experience in a DevOps / Platform capacity, and be able to work across the following technologies:

• Experience with Azure Cloud & Azure Services
• Containerisation / Orchestration with Kubernetes
• IaC with Terraform
• Prior experience scripting with PowerShell
• Strong CI/CD and Automation knowledge

This is a hybrid opportunity, with 3 office days required p/week, and can offer £60-75K for the right profile.

Please apply here to register interest in this opportunity.

Mid-Level Platform / DevOps Engineer – InsurTech - Azure, Kubernetes, Terraform, PowerShell, CI/CD

Velocity Tech has partnered with a leading global insurance organisation at the forefront of digital innovation in the London market. This organisation is known for pioneering advancements in data, cloud, and AI capabilities to support underwriting, digital trading, and claims optimisation. With a commitment to continuous improvement and technology-driven transformation, they are investing in building scalable, secure, and forward-thinking infrastructure that enables smarter decision-making and outstanding customer service.

This opportunity sits within a high-performing technology and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based digital trading platforms, and modernised underwriting solutions—all underpinned by a robust Azure cloud estate.

Role Overview: Platform Engineer

This is a critical role in the ongoing digital transformation of the business. Following a full migration to Azure and adoption of a DevOps/product-based model, the Platform Engineer will be responsible for enhancing, supporting, and optimising the organisation’s cloud infrastructure. The role will suit someone who enjoys enabling engineering teams to ship quickly and safely, who thinks in terms of automation and scale, and who is confident building robust, repeatable cloud solutions using modern infrastructure-as-code practices.

Key Responsibilities

• Develop and support CI/CD pipelines using Azure DevOps, aligned with industry best practices.
• Drive automation and build tools to improve developer experience and operational efficiency.
• Design and document scalable cloud solutions deployed in Azure.
• Build and maintain secure, testable infrastructure using Terraform and Infrastructure-as-Code principles.
• Collaborate closely with product, data, and engineering teams to deliver robust long-term solutions.
• Create monitoring, metrics, and alerting to measure performance and maintain uptime.
• Ensure efficient and cost-effective management of cloud resources and services.
• Provide technical leadership and guidance across Platform, Software, and Data Engineering teams.
• Troubleshoot root causes and implement repeatable solutions.
• Contribute to security, compliance, and reliability through automation and best practices.

Key Skills & Experience

• Proven experience supporting and scaling Azure environments.
• Strong background in CI/CD tooling (e.g. Azure DevOps, Jenkins, GitHub Actions).
• Advanced scripting and automation skills in PowerShell, YAML, and Terraform.
• Hands-on experience with Infrastructure-as-Code using Terraform, ARM, or Ansible.
• Solid understanding of both Windows Server OS and Linux systems.
• Experience with configuration management tools (Ansible, PowerShell DSC).
• Comfortable building and managing monitoring and failover strategies.
• Awareness of security best practices and familiarity with static/dynamic security testing tools.
• Ability to troubleshoot complex infrastructure issues and propose clean, scalable solutions.
• Experience with Agile methodologies and collaborative cross-functional teams.
• Excellent communication skills and the ability to work directly with business stakeholders.

Preferred Qualifications

• Degree in Computer Science, Engineering, or a related technical field—or equivalent experience.
• Certifications in Azure, DevOps, or related cloud technologies are a plus.

Who we are

We are a seed-stage AI start-up backed by leading European and US funds. Our founders previously built and deployed cutting-edge AI systems at world-class research labs and high-growth technology companies. We apply next-generation AI agents to transform mission-critical enterprise workflows that currently depend on brittle, manual processes. Our goal is to make these workflows safer, faster and far more resilient through thoughtful, responsible AI.

What you'll be doing:

• You will design, build and run the cloud-native backbone that powers our AI agent workers at scale.
• Shape a multi-cloud platform (AWS first, Azure next) with infrastructure as code and GitOps, balancing speed, cost and security.
• Run high-throughput Kubernetes clusters (EKS), adding service mesh, policy enforcement and self-service tooling so product teams can ship confidently.
• Own CI/CD from commit to production, creating automated tests, image scanning and progressive roll-outs that make releases routine.
• Build end-to-end observability (metrics, traces, logs, alerts) so engineers and customers trust system health.
• Champion security and compliance, including secrets management, zero-trust networking, least-privilege IAM and audit trails ready for GDPR and SOC 2.
• Partner with AI and product engineers to shape runtime environments and data pipelines for large-scale model serving.
• Continuously tune reliability and cost through chaos testing, capacity planning and proactive incident response.

What we think “great” looks like:

• Deep cloud mastery with AWS, including networking, IAM, storage and compute.
• Strong experience with containers and orchestration, such as Docker, Kubernetes, Helm and GitOps tools like Argo CD or Flux.
• Comfort with infrastructure as code, for example well-structured Terraform modules, policy as code and reusable patterns.
• Advocacy for CI/CD, building pipelines in GitHub Actions, GitLab CI or CircleCI with automated tests and security gates.
• An observability and SRE mindset, using tools such as Prometheus, Grafana, Loki or ELK and OpenTelemetry.
• A security-first but pragmatic approach, covering secrets management, image provenance and zero-trust networking.
• Proficiency in at least one systems language (Go, Python or Java) and familiarity with modern event-driven architectures.
• The ability to explain complex concepts in plain English to executives, customers and non-technical colleagues.

What we're offering:

• Base salary from £90,000 - £110,000. plus meaningful equity in a company pre Series A.
• Hybrid flexibility, with collaboration in person for the important work and remote working the rest of the time.
• Private healthcare, pension scheme and an annual off-site to disconnect and recharge.
• Visa sponsorship available for exceptional talent already eligible to work in the UK.
• An opportunity to define the engineering culture and leave your mark on technology that could reshape a vast, underserved market.

Interview Process:

Following an initial screening call with our talent partner, the interview process will run as follows:

• A 30-40 minute video chat with our founding CTO to explore mutual fit.
• A take-home or live architectural exercise focused on practical system design, not puzzle questions.
• A paid half-day on-site in our central London workspace to pair with the team, meet the founders and confirm the chemistry.

Who we are

We are a seed-stage AI start-up backed by leading European and US funds. Our founders previously built and deployed cutting-edge AI systems at world-class research labs and high-growth technology companies. We apply next-generation AI agents to transform mission-critical enterprise workflows that currently depend on brittle, manual processes. Our goal is to make these workflows safer, faster and far more resilient through thoughtful, responsible AI.

What you'll be doing:

• You will design, build and run the cloud-native backbone that powers our AI agent workers at scale.
• Shape a multi-cloud platform (AWS first, Azure next) with infrastructure as code and GitOps, balancing speed, cost and security.
• Run high-throughput Kubernetes clusters (EKS), adding service mesh, policy enforcement and self-service tooling so product teams can ship confidently.
• Own CI/CD from commit to production, creating automated tests, image scanning and progressive roll-outs that make releases routine.
• Build end-to-end observability (metrics, traces, logs, alerts) so engineers and customers trust system health.
• Champion security and compliance, including secrets management, zero-trust networking, least-privilege IAM and audit trails ready for GDPR and SOC 2.
• Partner with AI and product engineers to shape runtime environments and data pipelines for large-scale model serving.
• Continuously tune reliability and cost through chaos testing, capacity planning and proactive incident response.

What we think “great” looks like:

• Deep cloud mastery with AWS, including networking, IAM, storage and compute.
• Strong experience with containers and orchestration, such as Docker, Kubernetes, Helm and GitOps tools like Argo CD or Flux.
• Comfort with infrastructure as code, for example well-structured Terraform modules, policy as code and reusable patterns.
• Advocacy for CI/CD, building pipelines in GitHub Actions, GitLab CI or CircleCI with automated tests and security gates.
• An observability and SRE mindset, using tools such as Prometheus, Grafana, Loki or ELK and OpenTelemetry.
• A security-first but pragmatic approach, covering secrets management, image provenance and zero-trust networking.
• Proficiency in at least one systems language (Go, Python or Java) and familiarity with modern event-driven architectures.
• The ability to explain complex concepts in plain English to executives, customers and non-technical colleagues.

What we're offering:

• Base salary from £90,000 - £110,000. plus meaningful equity in a company pre Series A.
• Hybrid flexibility, with collaboration in person for the important work and remote working the rest of the time.
• Private healthcare, pension scheme and an annual off-site to disconnect and recharge.
• Visa sponsorship available for exceptional talent already eligible to work in the UK.
• An opportunity to define the engineering culture and leave your mark on technology that could reshape a vast, underserved market.

Interview Process:

Following an initial screening call with our talent partner, the interview process will run as follows:

• A 30-40 minute video chat with our founding CTO to explore mutual fit.
• A take-home or live architectural exercise focused on practical system design, not puzzle questions.
• A paid half-day on-site in our central London workspace to pair with the team, meet the founders and confirm the chemistry.

Velocity Tech has partnered with a leading global insurance organisation at the forefront of digital innovation in the London market. This organisation is known for pioneering advancements in data, cloud, and AI capabilities to support underwriting, digital trading, and claims optimisation. With a commitment to continuous improvement and technology-driven transformation, they are investing in building scalable, secure, and forward-thinking infrastructure that enables smarter decision-making and outstanding customer service.

This opportunity sits within a high-performing technology and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based digital trading platforms, and modernised underwriting solutions—all underpinned by a robust Azure cloud estate.

Role Overview: Platform Engineer

This is a critical role in the ongoing digital transformation of the business. Following a full migration to Azure and adoption of a DevOps/product-based model, the Platform Engineer will be responsible for enhancing, supporting, and optimising the organisation’s cloud infrastructure. The role will suit someone who enjoys enabling engineering teams to ship quickly and safely, who thinks in terms of automation and scale, and who is confident building robust, repeatable cloud solutions using modern infrastructure-as-code practices.

Key Responsibilities

• Develop and support CI/CD pipelines using Azure DevOps, aligned with industry best practices.
• Drive automation and build tools to improve developer experience and operational efficiency.
• Design and document scalable cloud solutions deployed in Azure.
• Build and maintain secure, testable infrastructure using Terraform and Infrastructure-as-Code principles.
• Collaborate closely with product, data, and engineering teams to deliver robust long-term solutions.
• Create monitoring, metrics, and alerting to measure performance and maintain uptime.
• Ensure efficient and cost-effective management of cloud resources and services.
• Provide technical leadership and guidance across Platform, Software, and Data Engineering teams.
• Troubleshoot root causes and implement repeatable solutions.
• Contribute to security, compliance, and reliability through automation and best practices.

Key Skills & Experience

• Proven experience supporting and scaling Azure environments.
• Strong background in CI/CD tooling (e.g. Azure DevOps, Jenkins, GitHub Actions).
• Advanced scripting and automation skills in PowerShell, YAML, and Terraform.
• Hands-on experience with Infrastructure-as-Code using Terraform, ARM, or Ansible.
• Solid understanding of both Windows Server OS and Linux systems.
• Experience with configuration management tools (Ansible, PowerShell DSC).
• Comfortable building and managing monitoring and failover strategies.
• Awareness of security best practices and familiarity with static/dynamic security testing tools.
• Ability to troubleshoot complex infrastructure issues and propose clean, scalable solutions.
• Experience with Agile methodologies and collaborative cross-functional teams.
• Excellent communication skills and the ability to work directly with business stakeholders.

Preferred Qualifications

• Degree in Computer Science, Engineering, or a related technical field—or equivalent experience.
• Certifications in Azure, DevOps, or related cloud technologies are a plus.

Job Title: Platform Engineer

Location : London (Hybrid)

Employment Type : Full-time

About the role:

My client are seeking an experienced platform engineer to join their team in London. This role is ideal for someone who thrives at the intersection of infrastructure, security, and software engineering. You’ll be instrumental in designing, building, and maintaining our platform infrastructure, with a focus on secure, scalable, and reliable systems.

Key responsibilities:

• Lead infrastructure projects from start to finish, delivering secure, scalable, and high-performance systems
• Design, build, and maintain cloud and on-premises infrastructure with security and reliability in mind
• Write high-quality internal tools and automation scripts using Python
• Collaborate with engineering and security teams to ensure compliance, observability, and incident readiness
• Contribute to infrastructure as code and CI/CD pipeline improvements
• Monitor system health and performance, proposing and implementing enhancements

Requirements:

• 5+ years of experience in platform, infrastructure, or DevOps engineering roles
• Proven track record of leading infrastructure or security projects end to end
• Strong knowledge coding in Python and comfortable using it
• Strong background in infrastructure architecture and operations
• Deep understanding of security best practices across cloud and on-prem environments
• Proficiency in Python, with experience building tools or automation scripts
• Familiarity with AWS and its tools
• Excellent communication skills and a collaborative mindset

Nice to have:

Experience with AI/ML infrastructure or supporting data science workflows

Exposure to MLOps tooling or machine learning model deployment

The Role

We're expanding our cloud offering capabilities and seeking a Platform Engineer to strengthen our foundation for future growth. You'll develop our cloud automation strategy, creating scalable, secure infrastructure through code. This role has a significant impact on both our development teams and customers' engineering teams. You'll shape our cloud architecture decisions from the ground up while mentoring team members, with significant growth opportunities as you build solutions that enable faster development without compromising security.

Key Responsibilities

• Design and implement infrastructure as code using tools like Terraform, CloudFormation, or Azure Resource Manager templates
• Develop automation scripts and workflows for cloud resource provisioning, configuration management, and operational tasks
• Build CI/CD pipelines for infrastructure deployment and application delivery
• Create monitoring, logging, and alerting solutions through code
• Implement and automate security controls according to best practices and compliance requirements
• Optimise and implement automated controls for cloud resource utilisation and cost management
• Troubleshoot and resolve infrastructure issues through programmatic approaches
• Be a beacon of infrastructure knowledge for the team, illuminating the path through the cloudy skies of modern large-scale tech

About You

Essential qualities

• Proven experience with at least one major cloud provider (AWS, Azure, GCP, or similar)
• Strong programming skills in languages relevant to cloud automation (Python, JavaScript/TypeScript, PowerShell, shell scripts, etc.)
• Experience with infrastructure as code tools and methodologies
• Understanding of DevOps principles and practices
• Knowledge of containerisation technologies (Docker, Kubernetes, OpenShift)
• Familiarity with CI/CD concepts and tools (GitHub Actions, Azure DevOps)
• Experience with monitoring and observability implementation
• Understanding of cloud security best practices and implementing security controls as code

What sets you apart

• Experience with multiple cloud platforms
• OpenShift administration and automation experience
• Industry-recognized cloud and security certifications
• Hands-on experience implementing technical controls for compliance frameworks such as SOC2 and ISO-27001
• Experience with serverless architectures and function-as-a-service implementations
• Knowledge of security scanning and testing tools for infrastructure code
• Familiarity with secret management solutions
• Background in software development
• Ability to maintain good humour when explaining for the fifth time why "turning it off and on again" isn't always the solution to cloud problems

What We Offer

• Wonderful office in the heart of Shoreditch, hybrid 3-days
• Generous cash compensation and share options
• Flexible work hours ⏰
• Personal development budget (coaching, courses, events)
• Comprehensive health, vision, and dental plan coverage ️
• 33 days paid leave per year including flexible national holidays
• Snacks and drinks provided weekly
• Working alongside great people in a friendly and respectful environment

Platform Engineer – AI Tech Start-Up – Remote First (1 Day/Month in Manchester)

We’re a fast-growing AI tech startup on a mission to build cutting-edge solutions that harness the power of artificial intelligence. We're looking for a Platform Engineer to help us scale our infrastructure and support the growth of our platform from the ground up.

What you’ll do:

• Design, build, and maintain secure, scalable infrastructure on AWS
• Develop and manage Infrastructure as Code (Terraform/CDK/etc.)
• Set up and optimize CI/CD pipelines and observability tooling
• Work closely with engineering and data science teams to enable smooth delivery

What we're looking for:

• Proven experience with AWS and infrastructure engineering
• Strong understanding of cloud-native architecture and best practices
• Experience with IaC, containers (Docker), and CI/CD tools
• Startup mentality: proactive, adaptable, and collaborative

What we offer:

• Fully remote with just 1 day per month in our Manchester office
• A chance to shape the platform and infrastructure from an early stage
• Work alongside a passionate, mission-driven team

Korn Ferry are looking for a contractor/freelance consultant to join a project with a client.

Basic info:

• Hybrid position (2 days per week onsite in London)
• 6 month initial contract, expected 12m+ engagement
• Daily rates in GBP OUTSIDE OF IR35

Summary:

The role is a Lead Platform Engineer that will be leading a platform support function on GCP initially for an existing Data Science environment hosted in GCP. Role scope includes the following:

• Scope includes support and maintenance activities such as, but not limited to:
• Performing updates to Terraform code as required by support activities
• Security patching and vulnerability remediation
• Problem investigation and resolution
• Minor application updates such as updating dependency versions and bug fixing
• Maintaining existing and adding new data connections
• Rotating certificates and secrets where required
• Deployment of service control and configuration policies where required
• Maintaining Azure Devops deployment pipelines (for both platform changes and applications)
• Interaction with customer teams such as the networking team where required to resolve issues

Skills:

• Experience deploying, implementing and configuring services and resources in GCP:
• Secret Manager
• GCS
• BigQuery
• Cloud Run Services/Functions/Containers
• Compute Engine
• Redis Managed Service
• Earth Engine
• Vertex AI
• Cloud Networking & Shared VPC
• Experience supporting & maintaining production infrastructure
• Strong experience with typical production support activities (dependency updates, vulnerability patching, environment enhancements etc.)
• Fluent in Terraform for Infrastructure as code language
• Deep knowledge of Devops and CI/CD processes for infrastructure changes (promote to production)
• Azure Devops & Azure pipelines experience
• Expert knowledge of Version Control and typical branching strategies such as mainlining/gitflow etc.
• Someone who can lead a team and has done so before.
• Someone who can think on their feet, solve problems they haven't solved before and share new ideas, concepts etc.