- 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 Dev

Ops 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 Dev

Ops 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, Git

Hub Actions, Git

Lab 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
- Dev

Ops Practices Adoption
- AI/LLM Tool Integration

Hard Skills

- CI/CD Pipeline Design
- Jenkins
- Git

Hub Actions
- Git

Lab CI
- CircleCI
- Docker
- Kubernetes
- Terraform
- Bash Scripting
- Python

Soft Skills

- Strong Communication Skills
- Collaboration with Engineering Teams

Industry Keywords

- Dev

Ops
- Software Supply-Chain Security
- Progressive Delivery
- Feature-Flag Platforms
- Pipeline Diagnostics

Tools & Technologies

- Prometheus
- Grafana
- Datadog
- ELK
- Kafka
- Redis
- RabbitMQ
- Nexus
- Snyk
- Trivy

#J-18808-Ljbffr

📌 Senior DevOps Engineer (México)
🏢 Jobtailor
📍 México