Senior Staff Engineer - DevOps Engineer
Nagarro Guadalajara, Jalisco, Mexico
IT Services and IT Consulting · 10,001+ employees
About the role
You will lead platform engineering workstreams and design robust CI/CD pipelines while maintaining production services. Additionally, you will integrate AI-assisted development standards and agentic tooling into the team's daily workflows.
What they look for
Requirements
Candidates must have over 8 years of experience in software or platform engineering with expert-level skills in AWS, DevOps, and TypeScript/Node.js. Proficiency in AI coding tools and a strong background in DevSecOps and infrastructure-as-code are also required.
Full description
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
- 8+ years of software/platform engineering, with demonstrated technical leadership of a team or major workstream
- Expert in TypeScript/JavaScript (Node.js) and strong in Python
- Deep AWS experience and production Terraform/IaC skills
- Expert with GitHub Actions and CI/CD pipeline design; strong Git/GitHub fluency (GitHub Enterprise/EMU a plus)
- Solid grounding in DevSecOps — SAST/SCA, dependency and vulnerability remediation, secrets management
- Comfortable in Linux/shell, Docker, and operating production services (on-call, incident/change management)
- Excellent written communication — this team documents heavily (runbooks, playbooks, PRRs)
AI skills & knowledge (required)
- Daily, fluent use of AI coding assistants — Claude Code and/or GitHub Copilot — for implementation, refactoring, test generation, and code review
- Ability to establish team standards for AI-assisted development: effective prompting, when to trust vs. verify generated code, security/IP guardrails, and reviewing AI-authored changes
- Working understanding of LLM fundamentals — context windows, tokens, model selection, and prompt/context engineering
- Experience integrating AI into developer workflows and agentic/automation tooling (e.g., MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
- Able to evaluate AI tooling pragmatically — measuring real productivity and quality impact, not hype
Nice to have
- Azure secure-access patterns; AWS session-manager / IAM (ALKS) experience
- Building developer platforms / internal paved-road tooling at scale
Qualifications
Must have skills: DevOps - AWS (Expert), DevSecOps, GitHub Actions (Expert), Node JS, Python (Strong)
- Service Region: UCC
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