- 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

📌 Senior DevOps Engineer (Guerrero)
🏢 Jobtailor
📍 Guerrero