Hire DevOps Engineers
Engineers who make deployment boring and leave behind something your team can run. The test of good platform work is not how sophisticated it is — it is whether anyone can deploy on a Friday without a specialist on call.
Discuss your projectWhat they handle
Pipelines
Tests, checks and builds on every push, deployment on merge, and a rollback that has been tested rather than assumed. The baseline, and the thing most often missing.
Infrastructure as code
Terraform or the platform's own definitions, so your environments are reproducible and a change is reviewed before it is applied rather than typed into a console at speed.
Monitoring and alerting
Uptime, errors, latency and the handful of signals worth waking someone for. We keep the alert list deliberately short, because a channel of alerts nobody reads is the same as no monitoring.
Cost control
Finding what you are paying for and do not use — oversized instances, idle environments, forgotten snapshots, egress nobody budgeted for. Frequently pays for the engagement.
Secrets and access
Credentials in a proper store rather than in environment files or a commit, scoped per environment, with rotation that is possible rather than theoretical.
Containers and orchestration
Docker, and Kubernetes where the workload genuinely warrants it. We will say when it does not, which is more often than the industry implies.
Backups and recovery
Backups that are taken, and restores that have actually been performed. An untested backup is a belief, not a control.
Security hardening
Network boundaries, least-privilege roles, patching, and dependency scanning in the pipeline.
Built for your team to operate
The most common way platform work fails is that it is built at a level of sophistication the remaining team cannot maintain. A Kubernetes cluster with a service mesh is the right answer for some workloads and an expensive liability for a team of four with no platform engineer. When the contractor leaves, nobody can change it, and the next outage becomes an emergency hire.
So the first question we ask is who operates this after we go. If the answer is a small team with other priorities, a managed platform that costs more per month and needs no attention is usually the cheaper option overall — and we will recommend it even though it is less work for us to bill. Where you do have platform capability, we will build to it.
Either way the engagement ends with a runbook written for whoever is on call rather than for us: how to deploy, roll back, restore a backup, rotate a credential, and what to check first when the application is down. And your team performs each of those once while we watch, because reading a runbook is not the same as having used it.
Platforms
- AWS — ECS, Lambda, RDS, S3, CloudFront, and the IAM work that makes the rest safe.
- Google Cloud — Cloud Run, GKE, Cloud SQL.
- Managed platforms — Vercel, Render, Fly.io, Railway — which are the right answer more often than they get credit for.
- Azure, where your organisation is already committed to it.
- Databases — PostgreSQL and MySQL, including replication, connection pooling and the migration path.
- CI — GitHub Actions, GitLab CI, Jenkins, CircleCI.
- Observability — Datadog, Grafana, Prometheus, Sentry, or the platform's own tooling where it suffices.
Common questions
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Related in Staff Augmentation
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