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DevOps job support online
Job support for DevOps and platform engineers — containers, Kubernetes, CI/CD pipelines, Terraform, observability and on-call. Practical help from engineers who operate production systems, in your timezone.
What we help with
- Containers — writing efficient Dockerfiles, multi-stage builds, image size and security, docker-compose for local dev.
- Kubernetes — Deployments, Services, Ingress, ConfigMaps and Secrets, probes, resource requests/limits, HPA, RBAC, and debugging CrashLoopBackOff / pending pods / OOMKills.
- Helm & manifests — writing and templating charts, values structure, upgrades and rollbacks, Kustomize.
- CI/CD — Jenkins, GitHub Actions, GitLab CI and Azure DevOps: pipeline structure, caching, secrets, matrix builds, deploy stages, and fixing red pipelines.
- Infrastructure-as-code — Terraform modules, state and backends, plan/apply issues, drift, and structuring code for multiple environments.
- Observability — Prometheus and Grafana, alert rules, log aggregation (ELK / Loki), tracing, and building a dashboard that is actually useful.
- Incidents — working through a live issue calmly: triage, rollback, root cause, and the write-up afterwards.
Typical situations
- You have inherited a Kubernetes cluster and pipelines and need to keep them running while you learn them.
- A deployment is stuck or a pod won't start and the events are not obvious.
- You are asked to add a new environment or service to the Terraform and don't want to break the existing state.
- You are on call for the first time and want someone experienced available if something breaks.
How DevOps job support works
Book a free consultation and tell us your platform (cloud, Kubernetes distro, CI tool, IaC), and the task or incident. We match you with a senior platform engineer in your timezone and get on a screen-share. You leave with the problem solved and understood, and cleaner config than you started with. See how it works and pricing.
Related tracks
Frequently combined with AWS job support and application tracks such as Java, Python and Node.js for the services you are deploying.
Pipeline red or a pod won't start?
Get a senior DevOps engineer on a call — often the same day.