DevOps Engineer résumé: what employers are asking for right now
We read 73 open devops engineer postings on employers' own job boards, at companies including GitLab, Supabase and Palantir. Of the 54 whose requirements we have read, the skills asked for most are Python (59%), AWS (44%) and Kubernetes (41%) — so those belong near the top of a devops engineer résumé, in the words the posting uses. The median posting asks for 5+ years of experience.
From 73 open postings on employers’ own job boards, as of .
Skills devops engineer postings ask for
| Skill | Share of postings | Bar |
|---|---|---|
| Python | 59% | |
| AWS | 44% | |
| Kubernetes | 41% | |
| CI/CD | 37% | |
| Go | 37% | |
| Terraform | 37% | |
| Distributed Systems | 35% | |
| Docker | 24% | |
| Infrastructure As Code | 19% | |
| Observability | 19% | |
| GCP | 17% | |
| Git | 17% | |
| TypeScript | 15% | |
| Linux | 13% | |
| Machine Learning | 13% |
Share of the 54 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 “Python” will not match a synonym. Ordered by how often employers ask:
Skills
Python · AWS · Kubernetes · CI/CD · Go · Terraform · Distributed Systems
Docker · Infrastructure As Code · Observability · GCP · Git · TypeScript
Linux · Machine Learning
- Line 1: asked for by a third or more of postings.
- Line 2: often asked for.
- Line 3: sometimes asked for.
Sample devops 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 DevOps Engineer
Senior DevOps Engineer with 8+ years building cloud platforms, delivery pipelines, and production operations for distributed systems. Focused on Python, AWS, Kubernetes, Terraform, and observability to improve release speed, reliability, and infrastructure consistency.
Experience
Senior DevOps Engineer · Series B SaaS infrastructure company
2021 – present
- Automated Kubernetes platform provisioning with Terraform and Python, cutting new environment setup from 3 days to under 2 hours.
- Built CI/CD pipelines for Go and TypeScript services, increasing deployment frequency from weekly to daily with gated rollbacks.
- Standardized observability across AWS workloads with Prometheus and Grafana, reducing mean time to detect critical incidents by 40%.
- Improved distributed systems reliability by tuning Linux hosts, Docker images, and autoscaling policies for steady peak traffic.
DevOps Engineer · Cloud analytics and data platform company
2017 – 2021
- Migrated legacy services into AWS and GCP, creating repeatable Infrastructure As Code modules for networks, compute, and secrets.
- Designed CI/CD workflows in Git for Python and Go services, lowering failed releases by 30% through automated tests and policy checks.
- Introduced Kubernetes deployment patterns for stateless and stateful workloads, improving service recovery during node and zone failures.
- Partnered on machine learning platform support by hardening storage, job scheduling, and monitoring for batch training pipelines.
Skills
Python · AWS · Kubernetes · CI/CD · Go · Terraform · Distributed Systems · Docker · Infrastructure As Code · Observability · GCP · Git
More devops engineer bullet points to adapt
- Built blue-green release workflows for Kubernetes services, reducing rollback time from 20 minutes to under 5 minutes.
- Created Python automation for account setup, access reviews, and cluster provisioning across multiple AWS environments.
- Implemented Terraform modules for reusable VPC, IAM, and compute patterns, improving consistency across new projects.
- Tuned observability dashboards and alerts in Grafana and Prometheus, cutting noisy paging by 25%.
- Containerized legacy services with Docker and Linux hardening, reducing drift between build and production hosts.
- Supported multi-cloud operations in AWS and GCP with standardized CI/CD checks and shared deployment templates.
- Added Git-based release approvals and change tracing, improving auditability for infrastructure and application changes.
- Partnered with application teams to optimize Go services under load, improving latency at peak traffic windows.
- Established Infrastructure As Code review standards, catching drift and misconfigurations before production rollout.
- Instrumented distributed systems health checks and SLO reporting, helping prioritize fixes for the highest-impact incidents.
What sets an application apart
Listed as a plus rather than a requirement: GCP (15%), Go (15%), Terraform (15%), Grafana (13%), Observability (13%), Azure (11%), Kubernetes (11%) and Prometheus (11%). Worth naming if you have it, and never worth claiming if you do not.
Level, location and pay
- Most are senior roles (61% of postings that state a level).
- 52% are listed as remote.
- Listed mainly in United States, Japan and Canada.
- US postings that publish a yearly salary: median $248k, middle half $242k–$296k (from 5 postings).