Hire Site Reliability Engineers
Who Keep Critical Systems Available

You can usually begin the hiring process immediately and receive a shortlist within 24 hours after we understand your critical services, cloud stack, incident history, observability tools, deployment process, timezone needs, and seniority bar. The shortlist is not built around generic DevOps keywords. It is matched to the reliability problem you are trying to solve, such as SLO design, incident response, Kubernetes operations, release safety, or observability rollout.

Yes. You interview shortlisted SREs before committing. We recommend using the interview to test practical production judgment: how they define SLIs, choose SLOs, tune noisy alerts, handle an incident bridge, review a failed deployment, debug a latency regression, or decide whether a Kubernetes liveness probe is helping or creating risk. That gives a CTO a stronger signal than certifications or resume keywords.

The first week should produce visible reliability proof. Depending on your environment, that may be an SLO draft for one critical service, a corrected dashboard, an alert rule tied to user impact, a runbook an on-caller can actually use, a deployment-risk review, a probe configuration fix, or an incident timeline with remediation owners. If the engineer cannot explain the system, the risks, and the next useful action by the end of the trial week, you should know early.

A strong Site Reliability Engineer should deliver a reliability operating model that your internal team can keep using. That includes SLIs and SLOs, dashboards tied to customer journeys, symptom-based alerts, usable runbooks, incident roles, postmortem follow-through, release gates, capacity signals, and toil reduction. The outcome should be inspectable through SLO attainment, incident frequency, alert quality, MTTR, deployment safety, capacity margin, and the amount of manual operational work removed from the team.

Quality is managed through senior screening, role-specific interview criteria, architecture review, change review, documented decisions, and delivery checkpoints. For SRE work, we look for evidence that the engineer can reason from user impact, not only infrastructure symptoms. We also look for clear writing, calm incident communication, practical automation habits, and the discipline to document alert changes, SLO decisions, runbook updates, rollback criteria, and known failure modes.

Yes. The engineer works inside your repositories, cloud accounts, observability stack, incident process, ticketing system, standups, and review process. The operating model is explicit from the start: service ownership, alert changes, SLO decisions, runbooks, incident reviews, release gates, and remediation items stay visible to your engineering team. Devlyn does not require you to move to a new toolchain before reliability work can begin.

Yes. Devlyn works with distributed engineering teams and plans overlap windows for interviews, standups, architecture reviews, incident reviews, and escalation handoff. For SRE engagements, timezone planning matters because reliability work often touches on-call rotation, release windows, incident response, and urgent production decisions. We define the expected overlap before onboarding.

NDA and IP assignment are handled before onboarding. Access is scoped to the systems required for the SRE scope, such as repositories, cloud accounts, monitoring tools, CI/CD pipelines, incident records, logs, and staging or production environments. Sensitive access follows your security rules, approval process, audit expectations, secret management practices, and production-change controls.

Use the risk-free trial to evaluate production judgment, communication clarity, technical depth, and ability to make useful progress with your real system. If the engineer cannot reason clearly about SLIs, SLOs, incident response, observability, release safety, capacity, or toil reduction, we replace the engineer within 48 hours instead of forcing you through a long notice period or another sourcing cycle.

You can start with one embedded Site Reliability Engineer, run a focused reliability audit, or build a pod around a larger reliability program. Common expansion paths include platform engineering, cloud engineering, backend systems, DevSecOps, data infrastructure, QA automation, or AI reliability support when production risk spans applications, infrastructure, and model-driven workflows.

Typical options include a Reliability Audit + Quick Wins engagement at $14,000 fixed scope, a senior embedded SRE from $5,000 per month, or an SRE + Platform + AI SRE pod from $14,500 per month. We confirm the right model after discovery so you can compare a dedicated hire, focused sprint, or pod against the business risk of your actual reliability problem.

We can support both models. If you already have strong engineering leadership, the SRE can plug into your process. If you need more structure, Devlyn can add delivery oversight, sprint planning, reporting, and senior technical review around SLOs, alert changes, incident follow-up, release-safety work, and reliability backlog execution.

Devlyn reduces the hidden work of sourcing, vetting, onboarding, replacing, and governing specialist engineering talent. For SRE hiring, that matters because a weak hire can add alerts without improving reliability, automate the wrong tasks, or make production changes without enough operating context. You get a shorter path to qualified candidates and a trial structure focused on measurable reliability outcomes rather than resume volume.

Devlyn is a better fit when the SRE work affects customer-facing systems, revenue workflows, regulated data, security posture, cloud cost, or long-term maintainability. You get senior vetting, replacement support, delivery governance, IP protection, and continuity around outcomes such as SLOs, observability, incident response, deployment safety, capacity planning, and toil reduction.

Hire a Site Reliability Engineer when the problem is not just infrastructure setup but measurable production reliability. Good examples include recurring incidents, unclear SLOs, noisy alerts, weak incident response, slow MTTR, unsafe deployments, Kubernetes probe issues, capacity bottlenecks, missing traces, or too much manual operational work. A DevOps Engineer may be the right hire for CI/CD, infrastructure provisioning, and developer workflow. An SRE is the better hire when you need reliability targets, operational discipline, incident learning, and production behavior to improve together.