Entrans site reliability engineers define your SLOs and cut mean time to recovery. They automate the manual work that burns out your on-call team. They work inside your rotation, your tooling, and your escalation path. When you hire site reliability engineers through Entrans, you can interview in days and onboard within 48 to 72 hours.

Most reliability hires fail for one reason. The candidate knows the monitoring tools but has never owned an error budget. Our engineers have run production where downtime carries a real penalty. They come from the same DevOps and quality engineering practice that backs our enterprise delivery teams.
Every SRE we place has defined real SLOs and SLIs. Each one has tracked an error budget and used it to argue for or against a release. They write code to remove operational work instead of absorbing it.
Our engineers join your on-call rotation, your incident channels, and your postmortem reviews. They work inside your PagerDuty and your runbooks. Nobody builds a parallel process.
We screen for distributed systems judgment, Kubernetes internals, and incident command under pressure. You interview only the engineers who clear that screen. Your time goes to decisions, not filtering.
A reliability problem often turns out to be a data or platform problem. When it does, you can pull in cloud architects, data engineers, or security engineers from the same team. Entrans has delivered 6,000+ enterprise integrations across 200+ enterprises with 500+ domain-trained professionals. We are ISO certified and a NASSCOM member. See our enterprise cloud solutions for how that fits together.
Entrans is an AI-first engineering firm. Our SREs use anomaly detection and agentic AI for triage where it earns its place. They leave it out where a tested runbook is faster and safer. You get automation that reduces pages, not another system to babysit.
Here is what our site reliability engineers do in the first 90 days. Each capability below maps to work they have shipped for enterprise clients. None of it is a tool they have only read about.
They define service level indicators around what your users feel: availability, latency, and data freshness. Then they set targets and an error budget policy your product team can live with.
They pull metrics, distributed tracing, and structured logging into one signal path. Then they replace threshold alerts that fire too late with SLO-based alerting. Alert fatigue drops because fewer pages are noise.
They run incident command and write runbooks for your most common failure patterns. Postmortems turn into completed engineering work, not documents nobody reopens.
Manual scaling, certificate renewals, routine restarts, and database maintenance get automated in Python, Go, or Bash. Anything they do twice becomes a script.
They tune EKS, GKE, AKS, and OpenShift for failure. That means pod disruption budgets, autoscaling, multi-zone spread, and graceful degradation under load. Multi-region active-active comes in when your uptime commitment demands it.
They validate RTO and RPO with real failover drills and chaos experiments. Assuming the runbook works is not validation. Our team built automated disaster recovery drills into the release pipeline for an IAM platform provider, which is how that client got numbers it could show its own customers.
Filling a site reliability role usually takes 45 to 60 days. It runs long because the coding bar screens out operations-only candidates. Our process compresses the timeline without lowering that bar.
Tell us your stack, your current uptime, your SLO targets, and where on-call hurts most. A reliability lead scopes the role. Not a recruiter working from a keyword list.
You receive profiles of SREs who have run comparable systems at comparable scale. Each one names the incidents they owned and the automation they built.
Interview whoever you want. Ask them to walk through an SLO they set and a class of toil they removed. We can run a live incident simulation if that helps you decide.
Your engineer gets access and joins the rotation. Week one starts with a reliability baseline: current SLIs, your top failure patterns, and the alerts that are lying to you.
Add engineers, grow into a platform team, or move the work into application support and IT operations as your targets tighten. The same account team stays with you.

A senior SRE who works only on your systems and owns reliability across the lifecycle. This fits best when you have production scale but no in-house reliability practice yet.

Add reliability capacity to a platform or DevOps team you already have. It helps when you need on-call coverage across time zones, or a specialist alongside your DevOps engineers and Kubernetes engineers.

Scoped reliability work with a defined outcome. That could be an SLO framework, an observability rebuild, a disaster recovery validation, or a multi-region failover design.
Our team serves global clients across banking and financial services, healthcare, manufacturing, retail, and logistics. In those sectors an hour of downtime already has a number attached to it. Our specialists design for failure in regulated and high-traffic environments, drawing on deep knowledge of SLO practice, cloud architecture, and incident response.
A site reliability engineer applies software engineering to operations so systems fail less often and recover faster. The work covers service level objectives, observability and alerting, incident response, capacity planning, and automation of manual tasks. Unlike a traditional operations role, an SRE writes code to remove work rather than doing that work by hand.
An SRE owns reliability outcomes, measured through SLOs, error budgets, and mean time to recovery. A DevOps engineer owns the delivery pipeline and the link between development and operations. The skill sets overlap on Kubernetes, cloud, and CI/CD. But an SRE is judged on whether the system stays up, and a DevOps engineer on how smoothly changes reach production. Plenty of teams need both.
Cost depends on seniority, cloud depth, and whether the engineer carries on-call. Senior SRE salaries in major US metros commonly run from roughly $195,000 to $245,000 base. Mid-level bands sit lower, with on-call premiums on top. Hiring a site reliability expert through Entrans replaces that fixed cost with a monthly or hourly engagement. There is no recruitment fee, no benefits load, and you can scale down. We quote once we have seen your stack and your SLO targets.
You get curated profiles within 24 to 48 hours. You can onboard within 48 to 72 hours of choosing an engineer. The market median for filling an SRE role is closer to 45 to 60 days, largely because the coding bar screens out operations-only candidates. We keep reliability engineers who have already cleared that bar. That is what removes most of the delay.
Yes. Our engineers take part in your on-call rotation, your escalation path, and your postmortem reviews. They work in the tooling you already use, such as PagerDuty or Opsgenie. We can structure coverage across time zones so one region is not carrying every page. Rotation scope, paging hours, and escalation thresholds are agreed before onboarding.