Senior DevOps Engineer

• Own and modernize CI/CD pipelines and developer tooling


• Design, build, and maintain CI/CD pipelines as code across multiple services and engineering teams


• Improve deployment safety through canary, blue/green, and feature-flag-based releases


• Build reusable pipeline templates, shared libraries, and self-service tooling


• Improve build performance through caching, parallelization, and other approaches


• Partner with engineering teams to remove friction from local development, testing, CI, and deployment workflows


• Integrate AI-assisted capabilities into developer workflows, including pipeline diagnostics, test generation or selection, code-review automation, and failure triage


• Implement software supply-chain practices including dependency scanning, artifact signing, and SBOM generation


• Use Infrastructure-as-Code to provision and maintain CI/CD infrastructure


• Monitor pipeline health and deployment success to drive continuous improvements


• Help engineering teams adopt effective DevOps and delivery practices through communication, enablement, and reusable solutions

Requirements

• Bachelor's degree in Computer Science or a related field, or equivalent work experience


• 5+ years of DevOps or software engineering experience, with a strong focus on CI/CD and developer tooling


• Strong hands‑on experience with modern CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, CircleCI, or Buildkite


• Experience designing pipelines as code and reusable pipeline templates


• Solid understanding of Docker, Kubernetes, and deploying containerized applications through CI/CD


• Working knowledge of Infrastructure-as-Code, including Terraform and/or Ansible


• Strong Linux administration and scripting skills using Bash, Python, or Go


• Experience with middleware or messaging technologies such as Kafka, Redis, or RabbitMQ


• Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or ELK


• Strong communication skills and experience driving adoption of tooling across engineering teams


• Progressive delivery tooling such as Argo Rollouts, Flagger, or feature‑flag platforms


• Software supply‑chain security tooling such as Nexus, Sigstore/cosign, Syft/SBOM tooling, Snyk, or Trivy


• Experience applying AI/LLM‑based tools to engineering workflows


• Experience using AI/LLM‑assisted tooling to accelerate development, testing, troubleshooting, code review, or CI/CD workflows


• Ability to evaluate AI‑generated recommendations or outputs critically before incorporating them into production engineering processes


• Curiosity about intelligent test selection, flaky‑test detection, automated checks, and pipeline failure diagnostics

Core Competencies

Demonstrates expertise in CI/CD pipeline design and implementation, with a strong focus on modern tooling and practices. Proficient in Infrastructure-as-Code and software supply‑chain security, ensuring efficient and secure development workflows.

Highest-signal resume keywords

• CI/CD Pipeline Development


• Infrastructure-as-Code


• Docker and Kubernetes


• DevOps Practices Adoption


• AI/LLM Tool Integration

Hard Skills

• CI/CD Pipeline Design


• Jenkins


• GitHub Actions


• GitLab CI


• CircleCI


• Docker


• Kubernetes


• Terraform


• Bash Scripting


• Python

Soft Skills

• Strong Communication Skills


• Collaboration with Engineering Teams

Industry Keywords

• DevOps


• Software Supply-Chain Security


• Progressive Delivery


• Feature-Flag Platforms


• Pipeline Diagnostics

Tools & Technologies

• Prometheus


• Grafana


• Datadog


• ELK


• Kafka


• Redis


• RabbitMQ


• Nexus


• Snyk


• Trivy