Senior DevOps Engineer (Contractor)

TLDR

Own and evolve cloud infrastructure and deployment pipelines on Google Cloud Platform, integrating daily AI-assisted workflows and managing a hands-on DevOps environment.

Senior DevOps Engineer (Contractor)

Location: Remote (LATAM only)

Engagement: Contractor

Experience: Senior (7+ years)

Timezone: Must overlap with US working hours

Role Summary

We are hiring a Senior DevOps Engineer (Contractor) to own and evolve our cloud infrastructure and deployment pipelines on Google Cloud Platform (GCP).

This is a hands-on senior IC role with responsibility for designing, operating, troubleshooting, and migrating infrastructure toward infrastructure-as-code (IaC). You will work closely with backend and platform engineers deploying Java, Kotlin, and Python services on Kubernetes (GKE).

This role is outcome-driven and requires strong technical judgment, independence, and clear communication.

AI-First Infrastructure Engineering

We are intentionally building an AI-assisted engineering organization. AI tools are part of the daily workflow.

What this means in practice:

  • Daily use of tools like Claude (Opus), Claude Code, Cursor, and GitHub Copilot

  • AI-assisted generation of Terraform / OpenTofu, Helm charts, Kubernetes manifests, and automation scripts

  • AI-assisted log analysis, troubleshooting, and observability improvements

  • AI-assisted documentation, runbooks, and post-mortems

You are responsible for reviewing, validating, and securing all AI-generated output. Speed matters, but correctness and security matter more.

This role is not a fit for engineers who are resistant to AI-assisted workflows.

Key Responsibilities

Infrastructure & Cloud Operations

  • Design, operate, and maintain production infrastructure on GCP

  • Manage and optimize GKE (Kubernetes) clusters, workloads, and networking

  • Administer Cloud SQL (PostgreSQL) and Redis

  • Own IAM roles, service accounts, and least-privilege access

  • Manage DNS using OctoDNS across Google DNS and Cloudflare

  • Ensure infrastructure security, scalability, reliability, and cost efficiency

Infrastructure as Code & Automation

  • Lead migration from bash-based provisioning to Terraform / OpenTofu

  • Introduce and maintain Helm charts for Kubernetes deployments

  • Eliminate click-ops through declarative, version-controlled infrastructure

  • Review and improve Kubernetes manifests and deployment practices

CI/CD & Deployment

  • Build and maintain CI/CD pipelines using:

    • Google Cloud Build

    • GitHub Actions

  • Support automated builds, testing, and deployments for Java/Kotlin/Python services

  • Improve deployment safety through rollout strategies, health checks, and rollback mechanisms

Monitoring & Incident Response

  • Configure monitoring and alerting using:

    • Google Operations (Cloud Monitoring & Logging)

    • New Relic

    • UptimeRobot

  • Act as an escalation point for production incidents

  • Diagnose complex system issues using logs, metrics, and traces

  • Improve observability and reduce mean time to resolution (MTTR)

Security & Secrets

  • Manage secrets using Google Secret Manager, GKE Secrets, and Keeper

  • Enforce secure configuration and credential rotation

  • Partner with engineering to ensure secure runtime and deployment patterns

Required Qualifications

  • 7+ years of experience in DevOps, SRE, or Cloud Infrastructure roles

  • Strong hands-on experience with Google Cloud Platform

  • Deep production experience with Kubernetes (GKE preferred)

  • Strong Linux and bash fundamentals

  • Production experience with Terraform or OpenTofu

  • Experience creating and maintaining Helm charts

  • Experience with Cloud Build and/or GitHub Actions

  • Strong troubleshooting skills in distributed systems

  • Experience with PostgreSQL and Redis

  • Solid understanding of IAM, DNS, networking, and cloud security

Nice to Have

  • Multi-environment Kubernetes setups (dev/staging/prod)

  • Experience with deployment strategies (blue/green, canary, rolling)

  • GCP cost optimization experience

  • Experience setting DevOps standards or mentoring engineers

What Success Looks Like

  • Infrastructure is reproducible, auditable, and managed via code

  • CI/CD pipelines are reliable, fast, and secure

  • Production incidents are diagnosable and resolved quickly

  • Manual operations steadily disappear in favor of automation

  • Engineering teams can deploy independently and safely

Contractor & Location Notes

  • This is a contractor role, not full-time employment

  • Candidates must be based in LATAM

  • Senior-level ownership and communication are expected

  • Consistent overlap with US time zones is required

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Senior DevOps Engineer Q&A's
Report this job
Apply for this job