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
#J-*****-Ljbffr

📌 Senior Devops Engineer (Jalisco)
🏢 Jobtailor
📍 Jalisco