Staff DevOps Engineer

Job Overview

High-impact individual contributor role at the intersection of cloud infrastructure, developer experience, AI-augmented tooling, and platform security. You will own architecture and operations of a large-scale multi-tenant SaaS platform across AWS and GCP, partner directly with product engineering teams on new service design, and work autonomously from ambiguous problem to production solution.

Key Responsibilities

• Design and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, and cluster lifecycle management across AWS and GCP.


• Own Infrastructure-as-Code (Terraform) for multi-account, multi-region environments spanning 200+ repos and services.


• Architect and run end-to-end CI/CD pipelines (Harness, GitHub Actions, ArgoCD) with supply chain security, SBOM, and progressive delivery.


• Build and operate large-scale observability stacks — metrics, logs, distributed traces — with OpenTelemetry across all clusters.


• Embed DevSecOps controls: secret management, image signing (Cosign/Chainguard), OPA/Kyverno policy-as-code, and compliance automation.


• Create AI/LLM-powered internal tools for platform operations, incident triage, drift detection, and CI/CD automation.


• Operate SQL (Aurora/PostgreSQL) and NoSQL (DynamoDB, ClickHouse, Elasticsearch) platforms at scale, including DR and schema lifecycle.


• Partner with dev teams from architecture review through production launch; produce ADRs, runbooks, and engineering standards.

Required Qualifications

• 10+ years in DevOps, Platform Engineering, or SRE in cloud-native SaaS environments.


• Expert AWS (EKS, RDS/Aurora, IAM, VPC, Cost Management) with solid GCP experience.


• Production Terraform at scale: modules, state, drift detection, multi-account patterns.


• Advanced Kubernetes: RBAC, network policy, GitOps (ArgoCD/Flux), operators, and resource management.


• Strong Go and/or Python — able to build and ship production-grade internal tooling.


• Hands-on experience building tools with AI/LLM APIs integrated into engineering workflows.


• Production SQL proficiency and NoSQL platform operations experience.


• Demonstrated design and operation of large-scale, multi-cluster observability solutions.


• DevSecOps: vulnerability management, supply chain security, compliance frameworks (SOC 2 / ISO 27001).


• Self-directed: scopes ambiguous problems, drives to solution, and delivers independently.

Preferred

• Regulated industry background (Saas-based fintech, healthtech, AI infrastructure).


• GPU infrastructure or AI model-serving experience (vLLM, SageMaker).


• Open source development projects used by others

Benefits

• Hybrid work environment


• Competitive salary and equity


• Health, dental, and vision insurance


• 401(k) plan


• Opportunities for professional development and growth


• Generous vacation policy

Salary

$234,000-$257,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)