Site Reliability Engineer Resume Example & Template (2026)

The U.S. Bureau of Labor Statistics reports the median annual wage for software developers — the category that captures SRE roles — was $133,080 in May 2024, with the top 10 percent clearing more than $211,450. SRE-specific salary surveys consistently put senior practitioners in the $160,000–$200,000 range at companies running cloud-native infrastructure at scale. The field is also growing fast: BLS projects the broader software developer category to expand 15 percent from 2024 to 2034, far above the all-occupations average. That growth, combined with how narrow the specialist skill set is, means strong SREs are in high demand — but it also means postings attract dozens of applicants, and the ones who don’t survive ATS screening never get a second look.

An SRE resume has a harder job than most engineering resumes. It needs to prove two things simultaneously: that you write software (or at least automation), and that you own production. Hiring managers want to see reliability quantified — uptime numbers, MTTR improvements, SLO attainment — not just a list of tools you have used. This page gives you a complete sample resume built for that standard, a breakdown of every section choice, an ATS keyword guide from real 2026 job postings, and the five mistakes that reliably disqualify otherwise strong candidates.

Full Sample Resume

Jordan Kim Seattle, WA · jordan.kim@email.com · linkedin.com/in/jordankim · github.com/jordankim

Summary

Site Reliability Engineer with 6 years of experience building and operating production systems on AWS and GCP at companies ranging from Series B startups to 2,000-person public tech firms. Reduced mean time to recover (MTTR) from 47 minutes to under 9 minutes at Velantrix by rebuilding alerting pipelines on Prometheus and introducing structured on-call runbooks. Defined and enforced SLOs across 12 microservices, cutting customer-visible error rate from 1.4% to 0.08% over two quarters. Fluent in Python and Go; comfortable owning infrastructure end-to-end with Terraform and Kubernetes. Looking for a senior SRE role at a company where reliability work directly ships product.

Experience

Senior Site Reliability Engineer — Velantrix, Seattle, WA March 2022 – Present

• Designed and enforced Service Level Objectives (SLOs) and error budget policies for 12 production microservices on Amazon EKS; customer-facing error rate dropped from 1.4% to 0.08% over two quarters after teams began using budget burn alerts to gate deploys.
• Rebuilt the on-call alerting pipeline — migrating from legacy PagerDuty noise to a tiered Prometheus + Alertmanager + Grafana OnCall stack — reducing alert fatigue by 63% (monthly pages per engineer fell from 74 to 27) and cutting mean time to recover (MTTR) from 47 minutes to 8.5 minutes across P1 incidents.
• Provisioned and maintained multi-region AWS infrastructure (EKS, RDS Aurora, ElastiCache, Route 53) using Terraform modules and Atlantis; eliminated 100% of manual console changes across 5 environments and reduced environment drift incidents from a monthly occurrence to zero over 14 months.
• Led blameless postmortem process across 3 engineering teams; introduced a structured incident severity framework and a shared runbook library (34 runbooks published in Confluence) that reduced repeated incident classes by 41% year-over-year.

Site Reliability Engineer — Apertus Health, Portland, OR June 2019 – February 2022

• Migrated 18 stateful services from bare-metal VMs to Kubernetes (GKE) with zero downtime using blue-green deployments orchestrated by ArgoCD and Helm, reducing infrastructure spend by $145,000 annually through right-sized node pools and cluster autoscaling.
• Implemented distributed tracing with Jaeger and log aggregation with the ELK Stack (Elasticsearch, Logstash, Kibana) across the entire service mesh, reducing mean time to detect (MTTD) for production anomalies from 22 minutes to under 5 minutes.
• Built a chaos engineering program using Chaos Monkey and custom Bash/Python fault injection scripts, uncovering 9 critical failure modes before they could cause outages; all 9 were remediated within the same quarter.

DevOps Engineer — Brixton Commerce, Remote January 2018 – May 2019

• Designed CI/CD pipelines with GitHub Actions for 8 product teams, standardizing build and deploy workflows across 23 repositories and reducing failed production releases from 12% to 3.5% of all deploys.
• Administered Linux (Ubuntu/CentOS) host fleet of 140+ servers; automated patch management and compliance reporting with Ansible, cutting weekly manual maintenance effort from 12 hours to under 2 hours.

Skills

Cloud & Infrastructure: AWS (EKS, EC2, RDS, Lambda, CloudFront, Route 53), GCP (GKE, Cloud Run, BigQuery), Terraform, Ansible, Helm, ArgoCD Containers & Orchestration: Kubernetes, Docker, containerd, Helm, Istio service mesh Observability: Prometheus, Grafana, Alertmanager, Jaeger, OpenTelemetry, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk SRE Practice: SLOs, SLIs, Error Budgets, blameless postmortems, incident management, chaos engineering, capacity planning CI/CD: GitHub Actions, GitLab CI, ArgoCD, Flux, Jenkins Languages: Python, Go, Bash Databases: PostgreSQL, MySQL, Redis, Cassandra Operating Systems: Linux (Ubuntu, CentOS, Alpine)

Education

B.S., Computer Science — University of Washington, Seattle, WA Graduated May 2017 | GPA: 3.7

Certifications:

• AWS Certified Solutions Architect – Professional (2024)
• Certified Kubernetes Administrator (CKA) (2023)
• Google Cloud Professional Cloud DevOps Engineer (2022)

Why This Resume Works: Section by Section

Summary

The summary does three things that most SRE summaries skip. First, it names the specific companies and tenure range so a recruiter can immediately gauge seniority level without reading the full experience section. Second, it leads with a concrete reliability outcome — MTTR reduced from 47 minutes to under 9 — before naming a single tool. SRE hiring managers care about outcomes far more than tool familiarity; anyone can list Prometheus on a resume, but not everyone can point to a measurable improvement it produced. Third, it explicitly names SLOs as a methodology, because that signals the candidate understands the Google SRE model that most modern teams reference.

Keep your summary to four or five sentences. Avoid describing yourself as “passionate” or “results-driven” — these are meaningless signals. Stick to what you owned and what improved as a result.

Experience Bullets

Every bullet in this sample follows the same structure: action verb → what you built or changed → measurable outcome. The numbers are specific because vague claims (“improved system reliability”) are ATS-neutral at best and trust-damaging at worst. Recruiters and hiring managers have seen every version of “improved performance by X%” — they believe numbers that have a clear mechanism behind them.

Notice that the bullets also name the technology in full. “Amazon EKS” appears alongside “Kubernetes.” “Prometheus + Alertmanager + Grafana OnCall” is spelled out rather than compressed to “monitoring stack.” This matters because ATS systems do exact-string matching, and your role as the applicant is to give those systems as many valid match surfaces as possible without stuffing keywords awkwardly.

Quantify wherever you can. Useful SRE metrics include: uptime percentage (e.g., 99.95%), MTTR before and after, MTTD before and after, error rate, cost savings in dollars, number of incidents eliminated, alert volume reduction, deploy frequency, and time-to-deploy. If you do not have exact figures, use directional language with reasonable estimates (“reduced from ~45 minutes to under 10 minutes”) — approximations are acceptable as long as they are defensible if asked in an interview.

Skills Section

SRE skills sections require more organization than a typical software engineer’s because the breadth of tooling is genuinely wide. Grouping by category — cloud platforms, observability, SRE methodology, languages — lets a hiring manager scan your coverage quickly. Critically, “SRE Practice” is its own category in the sample above, with explicit terms like “SLOs,” “SLIs,” “Error Budgets,” and “blameless postmortems.” Many SRE candidates bury these concepts inside bullets or omit them entirely from the skills section, which means they lose ATS matches when a recruiter filters for candidates who explicitly know the Google SRE framework.

Include your cloud certifications in the skills section or education section, not buried in the footer. CKA (Certified Kubernetes Administrator) and AWS SAP (Solutions Architect Professional) carry real weight with SRE hiring managers — they signal that your Kubernetes and AWS knowledge has been externally validated to a defined standard.

Education

A computer science or related degree is common but not universal in SRE. What matters more to most hiring panels is demonstrated production ownership and infrastructure skills. If your degree is in a non-technical field, lean more heavily on certifications and open-source contributions. If you have a relevant GitHub profile with Terraform modules, Helm charts, or tooling you have built, the URL belongs in the header — it is reviewed far more often for SRE candidates than for product engineers.

ATS Keyword Guide for SRE Roles in 2026

Analyzing SRE job postings across Google, Meta, Stripe, Cloudflare, and mid-size product companies in early 2026 surfaces a consistent set of terms that appear in the majority of descriptions. Your resume should include most of these, spelled exactly as shown:

Must-have terms (appear in 80%+ of postings): Kubernetes, Terraform, Prometheus, Grafana, Docker, SLO (Service Level Objective), SLI (Service Level Indicator), error budget, CI/CD, incident management, Python, Linux

High-frequency terms (appear in 50–80% of postings): ArgoCD, Helm, AWS, GCP, blameless postmortem, on-call, MTTR, observability, OpenTelemetry, Go, Bash, Elasticsearch, GitOps, infrastructure as code

Differentiating terms (appear in 30–50% of postings, signal senior depth): Chaos engineering, capacity planning, service mesh (Istio or Linkerd), Jaeger, distributed tracing, Alertmanager, runbooks, Certified Kubernetes Administrator (CKA), error budget policy

Tip on abbreviations: write both the full form and the abbreviation at least once. “Service Level Objective (SLO)” in the summary and “SLO” in bullets gives you both match surfaces. The same logic applies to “Certified Kubernetes Administrator (CKA)” vs. “CKA.”

Cloud platform specificity also matters. Recruiters often filter by named services, not just the parent platform. “Amazon EKS” outperforms “Kubernetes on AWS” in many ATS filters because EKS is a distinct product keyword. Similarly, “Google Kubernetes Engine (GKE)” is more searchable than “Kubernetes on GCP.”

Five Common Mistakes SREs Make on Resumes

1. Listing tools without outcomes

This is the most common failure mode. A skills section that says “Kubernetes, Terraform, Prometheus, Grafana, Python” tells a hiring manager nothing a hundred other applicants haven’t also written. The differentiator is always what you did with those tools in production. If a bullet says “Managed Kubernetes cluster using EKS,” it should also say what that cluster served, at what scale, and what happened to reliability or cost as a result. If you genuinely cannot attach a number to a bullet, at least name the scope: “Managed 14-service Kubernetes cluster across 3 AWS regions serving peak traffic of 42,000 requests/minute.”

2. Using SRE jargon without demonstrating methodology

Writing “defined SLOs” without context is hollow. Hiring managers at companies with a mature reliability practice will probe on SLO design in interviews: How did you set the target? What was the measurement window? How did you use the error budget to make release decisions? Your resume should give enough context that these questions feel answerable — for example, “Defined 99.9% availability SLOs for 8 critical services and introduced a policy that paused non-emergency deploys when error budget was below 20% for the trailing 7 days.” That level of specificity tells the reader you have actually run the process, not just read about it.

3. Omitting incident management and on-call experience

SRE roles include a production on-call responsibility that pure DevOps roles often do not. Recruiters know this and look for evidence that candidates have owned incidents under pressure. If your resume has no mention of incident response, postmortems, runbooks, or on-call rotations, it raises a red flag for senior SRE panels who need confidence you can hold a pager. Include the number of services you were on-call for, your average MTTR, or the outcome of a postmortem-driven remediation project.

4. Hiding certifications in a sidebar or footer

CKA, AWS SAP, and Google Cloud Professional DevOps Engineer are the three certifications that SRE hiring managers most consistently recognize. Placing them in a tiny font in a sidebar or below your education section means they may not parse correctly through ATS. Keep them in a clearly labeled “Certifications” subsection inside or immediately adjacent to Education, in plain text, with the full certificate name and year earned.

5. Writing a generic software engineer summary

Many SREs come from software engineering backgrounds and write summaries that emphasize backend development skills — “experienced engineer who builds scalable APIs” — when the role they are applying for is specifically looking for production ownership and reliability engineering. The summary is the highest-value real estate on the resume. Lead with reliability outcomes, not feature delivery. If you shipped code, mention it in context of how it served the reliability goal (e.g., “wrote internal Go tooling to automate runbook execution”), not as standalone software engineering accomplishments. Reviewers should be able to tell in ten seconds that this candidate owns production systems, not just services that run in production.