Dev Ops Engineer

Key Responsibilities

• Design, build, and maintain cloud infrastructure in GCP using Terraform.
• Architect and manage Kubernetes (GKE) clusters across dev, staging, and production.
• Improve networking, IAM, ingress architecture, and environment isolation.
• Build reusable infrastructure modules and eliminate configuration drift.
• Ensure infrastructure is scalable, cost-efficient, and production-grade.
• Design and maintain CI/CD pipelines that enable safe, rapid deployments.
• Own and optimize Bazel build configuration, caching, and reproducibility.
• Implement safe release strategies (canary, blue/green, rollbacks).
• Ensure environment parity and reduce deployment-related incidents.
• Implement and improve logging, monitoring, and alerting across services and Kubernetes workloads.
• Establish SLIs/SLOs and drive reliability improvements.
• Reduce MTTR through improved visibility and incident response processes.
• Improve production readiness standards and postmortem practices.
• Ensure infrastructure supports increasing AI workloads and real-time traffic.
• Strengthen IAM, secrets management, and least-privilege access controls.
• Harden Kubernetes clusters and cloud infrastructure against misconfiguration.
• Partner with security leadership to support HIPAA and SOC2 compliance requirements.
• Improve auditability, change tracking, and infrastructure governance.
• Embed security best practices directly into CI/CD and build workflows.

Qualifications

• 4–7+ years of DevOps, SRE, or Infrastructure Engineering experience.
• Strong hands-on experience with GCP and Kubernetes (GKE preferred).
• Deep experience with Terraform and infrastructure-as-code.
• Experience building and maintaining CI/CD pipelines.
• Experience working with Bazel or similar build systems in production environments.
• Strong understanding of networking, IAM, and cloud security fundamentals.
• Experience supporting production systems with uptime requirements.
• Nice to Have:
• Experience supporting HIPAA or SOC2 environments.
• Experience in early-stage or high-growth startups.
• Familiarity with AI/ML infrastructure or real-time systems.
• Experience with release engineering best practices in monorepos.