Cloud DevOps Engineering Services

For a typical early-stage SaaS on a single cloud provider, we can have an end-to-end automated pipeline (PR → staging → production with automated tests and rollback) running in four to eight weeks. The timeline depends on how many services exist, whether there is an existing pipeline to migrate, and how much infrastructure-as-code is already in place. We stage the rollout so you keep shipping during the transition.

We work across all three. Most of our production experience is on AWS (EKS, RDS, Lambda, CloudFront) and GCP (GKE, Cloud Run, BigQuery), but we have Azure engagements running as well. Cloud migrations are scoped carefully — we run parallel environments and cut over with zero planned downtime. We'll recommend the platform that best fits your workload and cost profile, not the one we happen to prefer.

Engagements range from a focused infrastructure audit and remediation (fixed-scope, typically $8K–$20K depending on complexity) to an ongoing embedded DevOps engineer or small team billed monthly. Monthly retainers for a senior DevOps engineer start around $6K–$8K. We scope based on your current state, target architecture, and the cadence of support you need — and we'll give you a written statement of work before any work begins.

Yes, and that's usually the right call. We start with an audit of your existing pipelines, infrastructure, and observability to identify the highest-leverage gaps. Sometimes that means adding automated testing stages to an existing Jenkins pipeline; sometimes it means migrating from a manual Helm setup to a GitOps workflow. We document the current state, prioritize improvements by risk and effort, and work incrementally so nothing breaks while we improve it.

We can take primary on-call for infrastructure we operate, co-own incidents alongside your engineering team, or hand off fully to your team after building runbooks and conducting war-game exercises. We set up PagerDuty or equivalent alerting with clear escalation paths, write runbooks for every failure mode we anticipate, and do a documented post-mortem after any significant incident. The model is flexible — most clients start with us on primary on-call and transition responsibility over six to twelve months as their team grows.