Job Description
Insight Global is seeking a Senior DevOps/SRE to support a large health insurance client of ours. This senior individual contributor is responsible for the cloud infrastructure, deployment automation, observability, and operational reliability of the Temporal-based claims processing platform on Google Kubernetes Engine. Owns the cluster topology, Terraform-managed infrastructure, hybrid networking to on-prem systems, secrets management, and the metrics/logs/traces observability stack. Serves as a technical authority for cloud platform reliability, capacity planning, and incident response.
This role supports a strategic platform initiative within Medicare Claims Engineering to migrate the existing Automation Anywhere RPA portfolio onto a modern, code-and-config-driven workflow platform built on Temporal.io, Python/Playwright, and Google Kubernetes Engine (GKE). Workflows are visually authored on a custom React Flow canvas that emits versioned configs executed by Temporal workers. The platform operates under HIPAA governance.
Key Responsibilities
• Own the GKE cluster architecture: regional private cluster, autoscaling node pools, network policies, Pod Disruption Budgets, and ingress configuration.
• Design hybrid networking from GCP to on-prem systems, including Cloud VPN/Interconnect strategy, VPC peering for Cloud SQL, and DNS resolution patterns.
• Lead architectural decisions for resiliency, cost efficiency, and capacity, including node sizing, autoscaling on custom metrics, and committed-use discount strategy.
• Champion Infrastructure as Code (Terraform) and CI/CD pipelines for containerized workloads, including image scanning, signing, and progressive rollout.
• Own secrets management and runtime resolution of auth profiles for downstream systems, integrating with the CVS-approved secrets backend.
• Operate the observability stack end-to-end: Managed Prometheus for metrics, Grafana dashboards, OpenTelemetry tracing to Cloud Trace, and structured logging to Cloud Logging.
• Define and operate the SRE practice: SLIs/SLOs, error budgets, on-call rotations, incident response runbooks, post-mortems, and resilience testing.
• Partner with Security on HIPAA-aligned controls: private cluster configuration, internal-only load balancers, IAP for internal applications, and audit logging.
• Mentor senior and mid-level engineers on cloud-native operations and SRE discipline; lead design and code reviews for infrastructure changes; influence engineering direction across teams.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Multiple years of experience in DevOps, Site Reliability Engineering, or cloud platform engineering for production systems.
• Deep production expertise with Kubernetes (GKE strongly preferred): node pool design, autoscaling, network policies, Helm, and workload identity.
• Strong production experience on Google Cloud Platform, including GKE, Cloud SQL, VPC and hybrid connectivity, Cloud Logging, Cloud Trace, Managed Prometheus, and IAM.
• Hands-on expertise with Infrastructure as Code (Terraform required; Helm required) and CI/CD pipelines for containerized workloads.
• Strong understanding of high-availability architectures, multi-zone failover, disaster recovery, and RTO/RPO planning.
• Proven experience operating large-scale, mission-critical production environments under regulatory or compliance constraints.
• Advanced troubleshooting and performance optimization across Kubernetes, Linux, networking, and database layers.
• Experience leveraging code generation tools like Copilot to write robust test cases and rapidly prototype features.
• Experience collaborating across architecture, security, networking, and application teams.
Nice to Have Skills & Experience
• Experience operating Temporal.io, Cadence, or comparable distributed workflow systems in production.
• Hands-on experience operating PostgreSQL at scale (Cloud SQL HA, tuning, backup/PITR, schema migrations).
• Experience with hybrid cloud connectivity to on-prem enterprise systems via Cloud VPN or Dedicated/Partner Interconnect.
• Familiarity with Elasticsearch operations (self-managed or Elastic Cloud) for visibility/search workloads.
• Familiarity with DevSecOps, SRE, and AIOps practices, including chaos engineering and resilience testing.
• Healthcare, regulated industry, or large enterprise experience; familiarity with HIPAA/PHI controls and audit retention requirements.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.