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DevOps Engineer, Web Platform

FieldAI
CAN
Full-time
Mid · 3–8 years experience
Hybrid
USD 125000-170000 / year
Discovered 1 months ago
awsdockergitgithub-actionskubernetesmongodb

Full Job Posting

What You'll Do:

Own and improve CI/CD pipelines for web services and applications (Node.js, React)

Design and maintain release processes that ensure safe, reliable deployments

Build and enforce testing and validation workflows to catch issues before production

Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS

Monitor system performance, reliability, and uptime across production environments

Partner with full-stack engineers to improve deployment velocity and system stability

Debug and resolve production issues across application, infrastructure, and deployment layers

Improve observability, logging, and alerting to proactively detect failures

What You Bring:

  • 3–8 years of experience in DevOps, infrastructure, or production engineering roles
  • Strong experience with AWS and containerized environments (Docker, Kubernetes)
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions or similar)
  • Familiarity with modern web stacks (Node.js, TypeScript, React)
  • Experience managing production systems and debugging real-world issues
  • Understanding of testing strategies for release reliability and system validation
  • Strong ownership mindset with a focus on system stability and quality
  • Ability to work cross-functionally with engineering teams

What Sets You Apart:

Experience owning release processes and production readiness for web applications

Experience improving system reliability, uptime, and deployment safety at scale

Familiarity with MongoDB or similar databases in production environments

Experience building internal tooling to improve developer workflows

Experience in fast-paced startup environments

Responsibilities

  • Own and improve CI/CD pipelines for web services and applications (Node.js, React)
  • Design and maintain release processes that ensure safe, reliable deployments
  • Build and enforce testing and validation workflows to catch issues before production
  • Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS
  • Monitor system performance, reliability, and uptime across production environments
  • Partner with full-stack engineers to improve deployment velocity and system stability
  • Debug and resolve production issues across application, infrastructure, and deployment layers
  • Improve observability, logging, and alerting to proactively detect failures

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