Staff Platform Engineer – DevOps / SRE (GKE & Cloud Infrastructure)

Staff Platform Engineer – DevOps / SRE (GKE & Cloud Infrastructure)

Location: Remote, USA Team: Medicare Claims Engineering – Platform Initiative

Role Overview

As a Staff Platform Engineer, you will serve as the senior technical authority for the cloud infrastructure, deployment automation, and operational reliability of our mission-critical claims processing platform. This is a high-impact individual contributor role focused on a strategic initiative to migrate an existing RPA portfolio (Automation Anywhere) onto a modern, code-driven architecture built on Temporal.io, Python/Playwright, and Google Kubernetes Engine (GKE).

You will own the "ground-to-cloud" lifecycle—from GKE cluster topology and Terraform-managed infrastructure to hybrid networking and full-stack observability. Operating under strict HIPAA governance, you will ensure the platform is resilient, secure, and capable of handling complex, high-volume healthcare workflows.

Key Responsibilities

• Infrastructure Leadership: Own the GKE architecture (regional private clusters, autoscaling, network policies) and lead architectural decisions regarding resiliency, capacity planning, and cost-efficiency (CUD strategy).

• Hybrid Connectivity: Design and manage complex hybrid networking from Google Cloud Platform to on-prem systems using Cloud VPN/Interconnect, VPC peering, and custom DNS resolution patterns.

• Automation & IaC: Champion a pure Infrastructure as Code (Terraform) approach and manage robust CI/CD pipelines that incorporate container scanning, image signing, and progressive rollouts.

• Security & Compliance: Partner with Security teams to implement HIPAA-aligned controls, including IAP for internal apps, private load balancers, and rigorous audit logging.

• SRE & Observability: Establish the SRE practice from the ground up—defining SLIs/SLOs, managing on-call rotations, and building the end-to-end observability stack (Managed Prometheus, Grafana, OpenTelemetry, and Cloud Trace).

• Mentorship: Lead design and code reviews for all infrastructure changes. Mentor mid-to-senior level engineers on cloud-native best practices and SRE discipline.

Required Qualifications

• Extensive Experience: Multiple years of senior-level experience in DevOps, SRE, or Platform Engineering for large-scale production environments.

• K8s Expertise: Deep production expertise with Kubernetes (GKE preferred), specifically node pool design, Pod Disruption Budgets, Workload Identity, and Helm.

• Google Cloud Platform Mastery: Strong hands-on experience with the Google Cloud Platform ecosystem: Cloud SQL, VPC, Cloud Logging, Cloud Trace, and IAM.

• Modern Tooling: Expert-level proficiency with Terraform and Helm.

• Reliability Mindset: Proven track record with high-availability architectures, disaster recovery (RTO/RPO), and multi-zone failover strategies.

• Problem Solving: Advanced troubleshooting skills across Linux, networking, and database layers.

• AI-Assisted Development: Experience leveraging tools like GitHub Copilot to accelerate prototyping and increase test coverage.

Preferred Qualifications

• Distributed Workflows: Experience operating Temporal.io or Cadence in a production setting.

• Database Operations: Expertise in PostgreSQL at scale (High Availability, PITR, schema migrations via Cloud SQL).

• Enterprise Networking: Hands-on experience with Dedicated/Partner Interconnect for hybrid cloud connectivity.

• Data Systems: Familiarity with Elasticsearch operations for search/visibility workloads.

• Advanced SRE: Experience with Chaos Engineering, AIOps, or resilience testing.

• Regulated Industries: Background in Healthcare or Finance; deep understanding of HIPAA/PHI controls and audit requirements.