Why hire a DevOps engineer instead of more developers?
Hire a DevOps engineer when releases are slow or risky, your cloud bill grows faster than usage, or one person holds all the knowledge of how production works. Feature developers can write a pipeline, but they rarely have time to own it, and the gaps show up as manual deploys, snapshots nobody remembers and alerts nobody trusts.
Our engineers join your team, work in your repositories and cloud accounts, and take tasks from your tech lead. We employ them and handle HR, equipment and replacement.
What our DevOps engineers cover
- CI/CD: Pipelines in GitHub Actions, GitLab CI or Jenkins: build, test, preview environments, automated rollback gates and release approvals that match how your team works.
- Infrastructure as code: Existing infrastructure described in Terraform or Pulumi, with state management, modules and policy checks in CI, so changes are reviewed like application code.
- Containers and Kubernetes where needed: Docker images that build the same way everywhere, and managed Kubernetes when the number of services justifies it. For smaller systems we choose simpler runtimes, see our hosting platform guide for how we decide.
- Cost control: Right-sizing, commitment planning, cleanup of idle resources and a tagging schema so finance can see spend by team.
- Observability and on-call: Metrics, logs and traces, alerts tied to user impact, runbooks and a rotation your own engineers can take over.
What we vet for
We screen DevOps candidates on the work they will actually do for you:
- They can read an unfamiliar cloud account and explain what is running, what it costs and what could fail.
- They write Terraform or Pulumi that others can review, and they know how state drifts and how to repair it.
- They design pipelines that fail fast and roll back cleanly, not only pipelines that pass.
- They know the security basics: least-privilege roles, secrets management, image scanning and audit trails.
- They explain trade-offs to developers and managers in plain language.
For cloud-specific roles we match the engineer to your provider, whether that is AWS, Azure, Google Cloud or an app platform. The AWS vs Azure vs GCP comparison shows how we weigh them.
What happens in the first weeks
- Pipeline audit: The engineer maps how code reaches production today: who deploys, how long it takes, where it breaks.
- Infrastructure inventory: A list of what exists in the cloud account, what is managed by hand and what is already in code.
- IaC for existing infrastructure: The most critical resources are imported into Terraform or Pulumi first, with reviews on every change.
- Quick wins: Usually a faster pipeline, basic alerts and a cost report you can act on.
Proof from delivered work
For a US-based Series-C digital media platform we replaced a manual ops handoff with an automated Vercel and AWS delivery pipeline built around GitHub Actions. Deploy time per release fell by about 70%, uptime since go-live stayed above 99.9% and mean time to rollback dropped under 2 minutes. Read the DevOps pipeline case study.
For a US-based Series-C B2B SaaS we cut the AWS bill by about 40% in the first quarter through right-sizing, commitment coverage and cleanup of orphaned resources. Details are in the cloud cost optimization case study.
How to engage
| Model | Fits when |
|---|---|
| Dedicated engineer | You have a tech lead and need a person who owns pipelines and infrastructure inside your team. |
| Team extension | You need DevOps plus developers or QA, see IT staff augmentation. |
| Dedicated team | You want a team with its own lead, see hire a dedicated team. |
| Project or support | You need a defined outcome, such as a pipeline rebuild, through our DevOps support services. |
Tell us about your infrastructure and release process, and we will propose a role and an engagement model.
