Site Reliability Engineer résumé: what employers are asking for right now
We read 119 open site reliability engineer postings on employers' own job boards, at companies including Okta, MongoDB and Mozilla. Of the 64 whose requirements we have read, the skills asked for most are Kubernetes (70%), Python (69%) and Terraform (58%) — so those belong near the top of a site reliability engineer résumé, in the words the posting uses. The median posting asks for 6+ years of experience.
From 119 open postings on employers’ own job boards, as of .
Skills site reliability engineer postings ask for
| Skill | Share of postings | Bar |
|---|---|---|
| Kubernetes | 70% | |
| Python | 69% | |
| Terraform | 58% | |
| AWS | 55% | |
| Observability | 45% | |
| GCP | 42% | |
| Linux | 42% | |
| Go | 41% | |
| CI/CD | 33% | |
| Azure | 23% | |
| Docker | 23% | |
| Distributed Systems | 20% | |
| Cloud Computing | 19% | |
| DNS | 17% | |
| Containers | 16% |
Share of the 64 postings whose requirements we have read.
A skills section built from those postings
List only what you can talk about in an interview, and use the posting’s own words for it — a screener searching for “Kubernetes” will not match a synonym. Ordered by how often employers ask:
Skills
Kubernetes · Python · Terraform · AWS · Observability · GCP · Linux · Go · CI/CD
Azure · Docker · Distributed Systems · Cloud Computing · DNS · Containers
- Line 1: asked for by a third or more of postings.
- Line 2: often asked for.
Sample site reliability engineer résumé
An illustrative example, not a real person: the employers and results are made up. The skills are the ones the postings above ask for, so it shows how those requirements read on a page.
Senior Site Reliability Engineer
Senior Site Reliability Engineer with 6+ years building and operating Kubernetes-based platforms across AWS and GCP. Focused on Terraform, observability, CI/CD, and incident reduction for distributed systems in production.
Experience
Senior Site Reliability Engineer · Global SaaS platform serving enterprise analytics
2021 – present
- Automated Kubernetes cluster provisioning with Terraform across AWS and GCP, cutting environment setup from days to under two hours.
- Built observability standards with metrics, logs, and traces, reducing MTTR by 38% for production incidents.
- Improved CI/CD pipelines for containerized services, increasing deployment frequency while lowering failed releases by 30%.
- Partnered with application teams on Linux and Go services to harden rollouts, capacity, and rollback procedures for distributed systems.
Site Reliability Engineer · Fast-growing cloud infrastructure startup
2018 – 2021
- Managed AWS and Azure workloads with Docker and Kubernetes, improving service availability to 99.95% across customer-facing APIs.
- Wrote Python automation for DNS, alerting, and incident response tasks, removing several hours of manual work each week.
- Introduced Terraform modules and reusable cloud patterns, standardizing infrastructure for new product launches and test environments.
- Supported GCP migrations and observability tuning, helping teams identify latency spikes and resource bottlenecks before release.
Skills
Kubernetes · Python · Terraform · AWS · Observability · GCP · Linux · Go · CI/CD · Azure · Docker · Distributed Systems
More site reliability engineer bullet points to adapt
- Deployed multi-region Kubernetes services on AWS and GCP, improving failover behavior and reducing outage impact during regional incidents.
- Created Python tooling for provisioning, service checks, and ticket automation, replacing repetitive operational tasks with repeatable workflows.
- Standardized Terraform modules for networking, compute, and secrets integration, making new platform builds consistent across teams.
- Designed CI/CD guardrails for container releases, adding policy checks, canaries, and rollback steps before production promotion.
- Improved observability dashboards and alert thresholds for distributed systems, reducing noisy pages and surfacing actionable signals sooner.
- Optimized Linux host tuning and container settings for high-traffic services, lowering CPU contention during peak load periods.
- Supported DNS changes for service discovery and traffic shifts, reducing risk during cutovers and maintenance windows.
- Collaborated with developers on Go and Python services to improve startup time, resilience, and readiness checks in Kubernetes.
- Guided cloud computing migrations from legacy virtual machines to container platforms, preserving uptime during phased cutovers.
- Strengthened incident response runbooks and post-incident follow-up, shortening recovery time and preventing repeat failures.
What sets an application apart
Listed as a plus rather than a requirement: Rust (20%), C++ (16%), Ai-assisted Development (14%), Terraform (14%), AWS (11%), Cloudformation (11%), Databases (11%) and GCP (11%). Worth naming if you have it, and never worth claiming if you do not.
Level, location and pay
- Most are senior roles (59% of postings that state a level).
- 24% are listed as remote.
- Listed mainly in United States, India and Ireland.
- US postings that publish a yearly salary: median $256k, middle half $229k–$292k (from 8 postings).