Top DevOps Engineer Jobs in Manchester

Leads a DevOps team responsible for the reliability, security, and operational efficiency of cloud and on-premise platforms. Owns Kubernetes infrastructure, GitHub-based CI/CD, GitOps, infrastructure as code, observability, incident response, disaster recovery, and security hardening. Provides technical mentorship, leads production deployments, manages platform tooling, develops runbooks, and collaborates with Engineering, SRE, Security, and Operations on platform improvements.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Design, implement, and evolve complex backend capabilities for GitLab’s global DevSecOps platform. Drive architecture and technical direction, improve quality, security, availability, performance, and operational readiness, and participate in incident response. Mentor engineers, lead through technical influence, collaborate asynchronously across product and infrastructure teams, and integrate reliable agentic AI systems into production engineering workflows.

Build and operate Namespace’s high-performance infrastructure platform supporting customer builds, tests, and CI jobs. Responsibilities include optimizing compute, memory, storage, and networking; automating provisioning, deployment, scaling, and recovery; developing observability and incident response processes; planning capacity; improving cost efficiency; and collaborating with product engineers to deliver reliable platform capabilities.

Build and improve DevOps automation for a public sector project, focusing on GitHub repository compliance, code security controls, Terraform configuration, and CI/CD integration. The role involves reviewing repositories, identifying control gaps, documenting compliance evidence and exceptions, maintaining tested production-quality code, troubleshooting tooling, and collaborating with engineering and security stakeholders. Active SC clearance and strong GitHub, Terraform, infrastructure automation, and DevOps experience are essential.

Support and optimize infrastructure across multiple SaaS environments, primarily on Azure. Build scalable cloud infrastructure, automate deployments and system administration, manage CI/CD pipelines, configure networks, troubleshoot operating system and hardware issues, and improve reliability, security, compliance, monitoring, disaster recovery, and operational KPIs. Collaborate with engineering teams on complex projects while supporting evolving IaaS, PaaS, and serverless environments.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Design, implement, and maintain AWS cloud infrastructure and Kubernetes environments for secure, highly available software solutions. Develop automation for deployment, monitoring, testing, and maintenance; establish security, compliance, and disaster recovery procedures; optimize performance, resilience, and cost; troubleshoot issues; and mentor junior DevOps engineers within an Agile team.

Improve the resilience, performance, scalability, and maturity of Arbor’s platform infrastructure. Responsibilities include enhancing high availability, testing, disaster recovery, CI/CD pipelines, deployment patterns, incident response, post-mortems, documentation, and knowledge sharing. The role works closely with platform, SRE, architecture, and engineering teams while operating large-scale AWS cloud systems and infrastructure as code.

Build, maintain, and operate Linux-based infrastructure at scale. Collaborate with development and DevOps teams to deploy applications, develop automation tooling, manage CI/CD pipelines, support in-house and third-party systems, troubleshoot production issues, monitor services with Grafana and Prometheus, document processes, and participate in on-call incident response.

Architect, build, and own AWS infrastructure supporting highly available SaaS products. Drive cloud migrations, automation, scalability, security, observability, and reliability improvements while partnering with developers and cross-functional teams. Participate in weekly on-call rotations, lead root cause analysis, and eliminate recurring operational issues. The role requires hands-on experience with AWS, infrastructure as code, CI/CD, configuration management, monitoring, GitOps, and multiple programming and scripting languages.

Design, deploy, and operate secure, scalable AI and cloud infrastructure on Azure. Manage AKS, containers, Terraform environments, Azure DevOps CI/CD pipelines, monitoring, observability, security, and automated operations. Support production LLM, data, API, and event-driven workloads, troubleshoot incidents, improve reliability, and collaborate with product, data, and engineering teams to deliver AI solutions.

Design, build, and operate secure, resilient AWS infrastructure and multi-tenant platforms. Own Terraform infrastructure-as-code, CI/CD pipelines, Kubernetes environments, networking, IAM, observability, reliability, and security controls. Lead infrastructure initiatives end to end, collaborate closely with Engineering, support incident response and SRE practices, and contribute to architecture decisions. The role also supports Microsoft 365, zero-trust networking, SOC 2, and Cyber Essentials Plus compliance activities.

Lead the design, delivery, and operation of secure AWS cloud infrastructure, infrastructure-as-code, CI/CD pipelines, containerized workloads, and DevSecOps practices. Own Terraform-based automation, monitoring, observability, troubleshooting, and technical decisions across client engagements. Collaborate with architects, security specialists, and clients while establishing engineering standards, mentoring engineers, and improving reliability and delivery efficiency.

Designs and maintains secure, scalable Azure cloud platforms and CI/CD pipelines. Develops Infrastructure as Code with Terraform and Bicep, automates provisioning and deployments, embeds security and testing, implements observability, troubleshoots complex infrastructure issues, and improves reliability. The role also supports containers, governance, documentation, and technical mentoring across multidisciplinary delivery teams.

Design, implement, and maintain CI/CD pipelines and DevOps tooling for secure, resilient core banking services. Deploy and operate cloud-native microservices using Kubernetes, Docker, GCP, Infrastructure as Code, and service mesh technologies. Improve automation, monitoring, observability, incident response, and reliability while supporting compliance with banking regulations. Collaborate across engineering, product, and operations teams to promote knowledge sharing, continuous improvement, learning, and inclusion.

Design, build, operate and improve secure cloud-native platforms and DevSecOps pipelines. Automate infrastructure (IaC), support AWS/Azure and container platforms (Kubernetes/OpenShift/EKS/ECS), implement observability, troubleshoot production issues, and work within regulated government/defence environments to ensure resilient, secure services.

Design, deploy, operate, and continuously improve Kubernetes-based AI infrastructure. Responsibilities include managing Linux systems, bare-metal servers, data-centre infrastructure, NVIDIA GPU workloads, infrastructure automation, security access, platform governance, troubleshooting, documentation, customer and vendor collaboration, and on-call operational support.

Lead design, development and maintenance of CI/CD infrastructure, own team deliverables, mentor engineers, collaborate across product/front-end/QA, troubleshoot live production systems, and ensure scalable, secure deployments.

Own and scale AWS infrastructure for a global SaaS platform, focusing on reliability, performance, security, and availability. Build CI/CD pipelines and infrastructure-as-code with Terraform, Terragrunt, and Chef; operate observability tooling; support migrations; drive SOC 2 practices; and partner with engineering teams on architecture. Respond to on-call incidents, lead root cause analyses, implement durable fixes, and evaluate AI tools that improve DevOps and SRE workflows.

Design, implement, and maintain AWS cloud infrastructure, deployment architectures, CI/CD pipelines, high-availability systems, monitoring frameworks, and Kubernetes-based applications. Automate infrastructure with Terraform or CloudFormation, apply security best practices, optimize performance and scalability, and collaborate with development teams and clients to improve deployment workflows and deliver projects effectively.

The DevOps Engineer will automate infrastructure, develop CI/CD pipelines, support deployment processes, and collaborate in an agile team environment.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

Collaborate with development teams to deploy and maintain applications on GCP using Kubernetes, Docker, Helm, ArgoCD and Terraform. Build automation pipelines, support deployments/upgrades/troubleshooting, manage infrastructure as code, document processes, and participate in on-call rotation.