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

Apply now

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