Hire Remote SRE Engineers (Site Reliability Engineers)
Table of Contents
Hire SRE Engineers Who Make Your Production Systems Reliably Survivable
Every high-growth technology company eventually hits the same wall: the production systems that worked for 10K users start failing at 500K. Incidents become weekly events. The on-call rotation burns out engineers. And leadership gets daily escalations from customers about outages they can’t afford.
Site Reliability Engineering is the discipline that prevents that wall from stopping you. SREs bring software engineering rigor to operations — they don’t just respond to incidents, they build systems that have fewer incidents, recover faster when they happen, and scale to 100x your current traffic without a proportional increase in operational complexity.
We match you with senior SREs who’ve owned reliability for consumer platforms, enterprise SaaS, and financial infrastructure serving millions of users. Engineers who define and own SLOs, build the observability stack that catches problems before users report them, and systematically reduce the toil that burns out on-call teams.
Start in days, not months. Pay 50% less than equivalent US-based SRE talent.
What Our SREs Build
SLO & Error Budget Framework
Defining Service Level Objectives that reflect what users actually care about — availability, latency, and data freshness — and building the error budget policy that creates the right tension between reliability and feature velocity. SLOs that guide engineering decisions rather than just report failures.
Observability Stack Design
Full-stack observability: metrics (Prometheus, Datadog), distributed tracing (Jaeger, Zipkin, Datadog APM), structured logging (ELK, Splunk), and the dashboards and alerts that give engineers actionable signals. Eliminating alert fatigue while ensuring real problems are caught immediately.
Incident Management & Post-Mortems
On-call rotation design, incident response runbooks, escalation procedures, and blameless post-mortem culture. Incident review processes that extract systemic learnings and drive reliability improvements — not just document what happened.
Toil Elimination & Automation
Identifying and automating the repetitive operational work that burns out on-call engineers: manual scaling events, routine deployments, certificate renewals, database maintenance tasks, and the class of work that SRE practice defines as “toil.” Freeing engineers for work that actually improves reliability.
Chaos Engineering & Resilience Testing
Game Days, chaos experiments (Chaos Monkey, Gremlin, AWS Fault Injection Simulator), and resilience validation that proves your system handles real failure scenarios — not just the ones you planned for.
SRE Technology Stack
Observability: Prometheus, Grafana, Datadog, New Relic, ELK Stack, Jaeger, OpenTelemetry
Incident Management: PagerDuty, OpsGenie, Rootly, Blameless, Jira Service Management
Automation: Terraform, Ansible, Python, Go (runbook automation, self-healing systems)
Kubernetes: EKS, GKE, AKS, Helm, ArgoCD, Keda (auto-scaling)
Chaos Engineering: Chaos Monkey, Gremlin, AWS Fault Injection Simulator, Chaos Toolkit
Cloud: AWS, GCP, Azure — reliability design, auto-scaling, multi-region architecture
Client Success Story: Consumer Platform — MTTR from 4.2 Hours to 18 Minutes
A consumer social platform with 8M monthly active users had a reliability problem: when something broke in production, it took an average of 4.2 hours to resolve — too long to find the right on-call person, too much manual investigation to identify root cause, no documented runbooks for common failure patterns. Our SRE rebuilt their incident response infrastructure: Prometheus + Grafana observability with SLO-based alerting (replacing threshold alerts that fired too late), PagerDuty routing with clear escalation trees, runbooks for the 15 most common failure patterns, and automated remediation scripts for 6 of those patterns. Mean time to recover dropped from 4.2 hours to 18 minutes. On-call burnout dropped significantly — measured by voluntary on-call participation, which increased from 40% to 85% of the engineering team.
Client Success Story: Fintech SaaS — Achieved 99.99% Availability for Regulated Uptime Commitments
A payments-adjacent fintech company had contractual 99.99% availability commitments with enterprise customers — but their actual historical availability was 99.7% (26 hours of downtime per year). Failing those SLAs cost them contract renewals. Our SRE team designed a multi-region active-active architecture on AWS, implemented database replication with automated failover under 30 seconds, built a canary deployment system that limited blast radius of bad deployments to 2% of traffic, and created chaos engineering exercises that validated failover scenarios quarterly. Measured availability for the 12 months post-engagement: 99.993%. Zero SLA violations. Two enterprise renewal contracts were signed directly citing “improved reliability” as the deciding factor.
Why Companies Choose Our SRE Engineers
- Engineering mindset: They write code to solve operational problems — they’re not manual operators with monitoring knowledge
- Error budget discipline: They use SLOs and error budgets to create the right reliability-velocity tension, not just maximize uptime at any cost
- Toil reduction focus: They automate what they do more than once and systematically reduce the operational burden on the engineering team
- 50% cost savings: Senior SRE expertise at a fraction of US market rates
- Fast start: Most engagements begin within 1–2 weeks
Engagement Models
- Individual SRE — One senior SRE embedded with your platform team to build observability, define SLOs, and drive reliability improvement.
- SRE + DevOps Pod — An SRE owning reliability strategy and incident management, paired with a DevOps engineer handling CI/CD and infrastructure automation.
- Reliability Engineering Teams — Multiple SREs for complex distributed platforms with high reliability requirements and 24/7 on-call coverage needs.
- Contract-to-Hire — Evaluate an SRE’s reliability engineering approach and on-call discipline before committing long-term.
How To Vet SRE Engineers
Our vetting identifies SREs who build reliable systems — not just respond to incidents.
- SLO design exercise — Given a web application, define meaningful SLOs: what user journeys matter, what SLI would you measure, what availability and latency targets are right, and how would you implement the measurement? We evaluate user-centric thinking and measurement sophistication.
- Observability architecture — Design the observability stack for a microservices application with 20 services. What tools, what metrics, what alerts, and how do you prevent alert fatigue? Evaluated on completeness and false-positive management strategy.
- Incident response simulation — Given a production incident description with initial signals, walk through the first 30 minutes of incident response. How do they communicate, investigate, and make rollback vs. fix-forward decisions?
- Toil identification — Given a real operational environment description, identify the toil and design the automation to eliminate it. We assess systematic thinking about operational leverage.
What to Look for When Hiring SRE Engineers
Strong SREs treat every recurring operational task as an automation opportunity — they make systems more reliable over time, not just respond to failures.
What strong candidates demonstrate:
- They’ve defined real SLOs with actual error budget tracking — not just set uptime targets in dashboards
- They’ve built meaningful distributed tracing — not just metrics and logs, but full request traces across service boundaries
- They practice and run blameless post-mortems that produce systemic improvements — not just incident timelines
- They’ve written automation that replaced a class of manual operational work — not just improved monitoring
Red flags to watch for:
- Defines SRE as “DevOps plus monitoring” — no understanding of SLO/error budget framework or the Google SRE book’s core concepts
- Monitoring means dashboards full of metrics but no SLO-based alerting — reactive to obvious failures, not proactive on degradation
- Post-mortems produce action items that are never completed — incident response produces documentation but no reliability improvement
- No software engineering in their SRE work — purely operational, no automation, no tooling built
Interview questions that reveal real depth:
- “Walk me through an SLO you defined. What was the user journey, what was the SLI, how did you set the target, and how did you track error budget?”
- “Describe the most impactful toil elimination you’ve done. What was the manual work, what did you build to eliminate it, and how did it change your team’s operational burden?”
- “How do you balance reliability investment with feature velocity? How do you use error budget to guide that conversation?”
Frequently Asked Questions
What's the difference between an SRE and a DevOps Engineer?
Do your SREs have experience with large-scale distributed systems?
Do your SREs participate in on-call rotations?
How quickly can an SRE start?
Related Services
- DevOps Engineers — Deployment automation and infrastructure engineering that complements SRE reliability work.
- Infrastructure Engineers — Platform infrastructure specialists for complex network, compute, and storage architecture.
- Performance Engineers — Load testing and performance profiling to validate the reliability architecture SREs build.
- Security Engineers — Application and infrastructure security for compliance-sensitive production environments.
Want to Hire Remote SRE Engineers?
We source, vet, and place senior Site Reliability Engineers who make production systems reliably survivable — engineers who define SLOs, build the observability that catches problems before users report them, and systematically reduce the operational burden that burns out engineering teams. Whether you need one SRE or a full reliability engineering team, we make it fast, affordable, and low-risk.
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Ready to hire SREs who keep your platform reliable at scale? Contact us today and we’ll introduce you to senior SREs within 48 hours.
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