Senior Staff Engineer - DevOps Engineer

Posted Yesterday
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Quito, ECU
In-Office
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Provides technical leadership for DevOps and platform engineering, designing AWS infrastructure with Terraform, CI/CD pipelines using GitHub Actions, and secure production services. Responsibilities include DevSecOps, vulnerability remediation, secrets management, Linux and Docker operations, incident management, and extensive documentation. Establishes team standards for AI-assisted development, integrates LLM tools into engineering workflows, evaluates AI productivity and quality, and supports developer platform tooling at scale.
Summary Generated by Built In
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)

Skills Required

  • 8+ years of software or platform engineering experience
  • Demonstrated technical leadership of a team or major workstream
  • Expert TypeScript or JavaScript and Node.js experience
  • Strong Python experience
  • Deep AWS experience
  • Production Terraform and infrastructure-as-code experience
  • Expert GitHub Actions and CI/CD pipeline design experience
  • Strong Git and GitHub fluency
  • DevSecOps experience, including SAST, SCA, vulnerability remediation, and secrets management
  • Experience with Linux, shell, Docker, and operating production services
  • Experience with on-call, incident management, and change management
  • Excellent written communication and technical documentation skills
  • Daily fluent use of Claude Code and/or GitHub Copilot
  • Ability to establish standards and security guardrails for AI-assisted development
  • Working understanding of LLM fundamentals, context windows, tokens, model selection, and prompt/context engineering
  • Experience integrating AI into developer workflows and agentic or automation tooling
  • Ability to evaluate AI tooling using productivity and quality measures
  • Azure secure-access patterns
  • AWS Session Manager and IAM experience
  • Experience building developer platforms or internal paved-road tooling at scale

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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