A DevOps engineer automates how software is built, tested, deployed and run: setting up CI/CD pipelines, defining cloud infrastructure as code, managing containers, and putting monitoring, security and cost controls in place so teams release faster and systems stay reliable.
Hire DevOps engineers to automate builds, testing, infrastructure and deployments. Our engineers set up CI/CD pipelines, containers, Kubernetes and infrastructure as code so your team ships faster with fewer incidents.
Every one of our DevOps engineers is technically vetted, communicates clearly in English and works with sufficient time-zone overlap for daily collaboration. Choose full-time, part-time or hourly engagement, start quickly and scale your team as your roadmap evolves.
Skills our DevOps engineers bring to your team from day one.
Share your requirements, review hand-picked profiles, interview the candidates you like and onboard within days. Your developer works as part of your team, using your tools and processes, while we take care of HR, infrastructure, security and replacements.
Engagement models: Full-time dedicated (around 160 hours per month), part-time (around 80 hours per month) and hourly or project-based arrangements.
Our DevOps engineers work with Azure DevOps, GitHub Actions and GitLab CI; Terraform, Bicep and ARM; Docker, Kubernetes and Helm; Azure and AWS services; Azure Monitor, Application Insights, Prometheus and Grafana; and Key Vault or AWS Secrets Manager. Many also support ML and AI workloads through MLOps.
Billing is monthly, and you can add people or reduce hours with reasonable notice as your needs change. DevOps engineers often support teams of .NET Core, Python and ML developers. For hosting AI models, see custom AI API hosting and cloud AI integration.
Ready to hire DevOps engineers? Tell us about your cloud, tools and release process, and we will share suitable DevOps engineers. Share your requirements.
Common questions about hiring DevOps engineers through Prominent AI Services LLP.
Yes. They right-size resources, automate scaling and set up cost monitoring and alerts.
On-call and incident response can be included in the engagement as required.
Yes. You can add resources or reduce hours with reasonable notice as your project needs change.
Rates depend on experience, cloud platform and engagement model, including any on-call needs. We share rates with each profile before interviews.
Yes. They review your current build and release steps, then automate them in stages so your team can release more often with less risk.
Yes. Our engineers work with both, and many also have Google Cloud experience. We match the engineer to your main platform.
Yes. They containerise applications with Docker, set up Kubernetes or managed container services, and migrate step by step with rollback plans.
