H
Hauler Herovia Ashby
Senior DevOps Engineer (Contractor)
REMOTEPosted 4mo ago
devopsSeniorFull-time#remote
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About the Role
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
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
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