Top DevOps Engineer Jobs in Manchester

Support, secure and maintain the DCC infrastructure by defining system architecture, automating deployments and provisioning, implementing operational best practices (monitoring, backups, logs), ensuring resilience and security, and training/communicating with delivery teams and wider Thales UK. Deliver automated deployment scripts, PaaS operational readiness, and documentation to enable timely, reliable production releases.

This position involves designing and managing cloud infrastructure on AWS, scripting with Python, and configuring NGINX for traffic management, ensuring efficient deployment and operations.

Design, build and maintain MLOps pipelines and CI/CD for AI/ML assets on Azure. Deploy, monitor, and manage lifecycle of models and services (including Azure Speech and OpenAI), ensure security and compliance, create monitoring dashboards, and support Flask applications that consume Azure ML endpoints.

Build, maintain, and operate Mimica’s multi-region Kubernetes platform (GKE/EKS), infrastructure-as-code, GitOps pipelines, and observability. Support engineering teams, triage incidents, migrate IaC to Crossplane, drive FinOps, and design BYOC/single-tenant access patterns while automating work with Python tooling.

As a DevOps Engineer, you will ensure infrastructure reliability and security, automate deployment, administer systems, and integrate security testing tools.

Lead the development and implementation of secure cloud environments for National Security and Defence clients by leveraging commercial and open-source technologies.

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.

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

The Cloud Engineer will deliver Azure solutions, manage client engagements, and support cloud migration efforts while ensuring best practices.

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

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.

The role involves creating testnets, maintaining production infrastructure, and monitoring systems to aid developers in decentralized network projects, emphasizing security and innovation.

The DevOps Engineer will build and manage CI/CD pipelines, maintain environments, implement testing frameworks, and collaborate with teams on deployment workflows.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.

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.

Technical lead and architect for infrastructure, automation, and deployments. Own IaC, CI/CD, release engineering, observability, and production reliability across Windows and Linux platforms. Design Windows HA/clustering, build Terraform/Ansible standards, manage Octopus/GitHub deployments, set monitoring/alerting with VictoriaMetrics/Prometheus, lead incident response, mentor engineers, and maintain runbooks and platform roadmaps.

As a Lead DevOps Engineer, you will build and deploy cloud-based infrastructure, automate deployments, and lead a team in delivering secure environments for data analytics using various technologies.

The role involves managing cloud infrastructure, focusing on AWS and Kubernetes, ensuring system reliability, building CI/CD pipelines, and supporting AI workloads. Responsibilities include optimizing production systems, enhancing monitoring, and collaborating with teams to improve developer experience.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

The Senior DevOps Engineer will design and maintain cloud infrastructure, manage CI/CD pipelines, and automate processes using IaC tools. Responsibilities include optimizing system performance, ensuring security best practices, and collaborating with clients and development teams to improve workflows.

Design, build and maintain critical infrastructure and CI/CD pipelines. Contribute code and peer reviews, decompose work for Agile delivery, own build/deploy processes, present progress to stakeholders, and provide technical leadership to engineering teams.

Support production Java/Spring applications, resolve incidents, perform root cause analysis, manage deployments and monitoring (Kubernetes, CI/CD, Docker), collaborate with DevOps, participate in on-call rotations, and drive operational improvements.

The Senior DevOps Engineer will manage AWS infrastructure, optimize services, improve CI/CD pipelines, and enhance system observability while ensuring compliance with necessary standards.

The Staff DevOps Engineer will enhance and manage infrastructure for AI inference, focusing on speed, resilience, and automation across GPU fleets and production systems.