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Location
In office (Quito)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Nagarro is a global digital engineering and technology solutions firm that specializes in custom software development, cloud transformation, and AI-driven innovation for enterprise clients. Headquartered in Germany, the company operates across more than 30 countries with an agile, non-hierarchical organizational model tailored for rapid digital product engineering. Partnering with leading organizations across industries such as automotive, financial services, and healthcare, it helps businesses accelerate digital transformation and modernize complex IT systems.

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!

  • 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

Must have skills: DevOps - AWS (Expert), DevSecOps, GitHub Actions (Expert), Node JS, Python (Strong)

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