Hire DevOps Engineer — Pipelines That Ship While You Sleep

GitHub Actions and GitLab CI most often, plus Jenkins where teams already run it. I standardize on what your team can operate long after I leave.

A solid CI/CD foundation with containers and one environment typically takes three to six weeks. Multi-environment setups with IaC extend to eight or ten weeks with staged rollout.

Yes — AWS, Azure, and GCP all covered, plus on-prem and hybrid setups. I meet your infrastructure where it is and improve it in place without forced migrations.

Usually yes — I profile the pipeline, parallelize what is safe, cache aggressively, and split slow suites so feedback lands in minutes instead of hours of waiting around.

I set up alerting and runbooks your team can follow, and include a support window after handover. Long-term on-call is your team’s — I make sure they are ready.

I work on fixed-scope projects or a fractional retainer, not hourly time-selling. A defined piece of work, say a pipeline rebuild or a cloud cost cleanup, is quoted as a flat fee against clear deliverables. Ongoing fractional work is a monthly retainer sized to the number of days a month you actually need. When you hire a DevOps engineer this way, you get senior judgement without a full-time salary, benefits, and the recruiting gamble.

If you deploy many times a day across several teams and own genuinely complex infrastructure, hire full-time. Most companies below that scale are paying a senior salary for work that is intense for two months and quiet afterwards. Hiring me fractionally gets the hard setup done properly, then keeps a senior hand available for incidents and architecture decisions while your own engineers run the day-to-day. You can always move to a full-time hire once the platform is stable.

Probably not, and I will tell you honestly. Most teams I meet are better served by managed container services like ECS Fargate, Cloud Run, or App Runner, which remove most of the operational burden. If you genuinely need Kubernetes, for multi-tenant workloads, complex scheduling, or an existing investment, I run production EKS, GKE, and AKS with sensible autoscaling, ingress, and GitOps. Part of the job is knowing when not to reach for it.

Usually, yes, and it is one of the fastest ways hiring me pays for itself. I start by tagging and attributing spend so every dollar maps to a service or team, then target the obvious waste: idle instances, over-provisioned databases, orphaned volumes, and expensive cross-AZ traffic. After that come savings plans, spot capacity for suitable workloads, and storage lifecycle rules. The savings on a bill that has never been optimised are usually large, and none of it should cost you reliability.

Yes. I treat security as part of the pipeline, not a separate audit at the end. That means least-privilege IAM, short-lived credentials via OIDC, secrets held in a managed vault, image scanning and SBOM generation in CI, and infrastructure scanned with tools like tfsec or Checkov before it is applied. For teams heading into SOC 2 or ISO 27001, a GitOps workflow hands you the audit trail and change approvals reviewers ask for, almost for free.

That is exactly what I design against. Everything lives in Git, in Terraform and pipeline code your team owns, with runbooks and architecture notes written for the engineer who is on call, not for me. Before I step back, I run a handover where your people make a real change and recover from a simulated failure themselves. A good DevOps engineer should make themselves unnecessary for the routine work; I would rather you call me for the next hard problem than for daily operations.