Senior Software Engineer, Infrastructure

Key Responsibilities

• Drive the stability and reliability of Epic's GCP infrastructure—setting and tracking SLOs/SLIs, reducing toil, and engineering out recurring sources of instability
• Build and operate Epic's GCP infrastructure for high availability, scalability, and cost efficiency
• Manage and harden our Docker and GKE container platform, including workload scheduling, autoscaling, networking, and graceful failure handling
• Maintain and improve CI/CD pipelines that enable fast, safe, low-risk delivery across engineering teams
• Own and evolve the observability stack—metrics, logs, traces, dashboards, and alerts—so that signals are actionable, noise is low, and on-call has the context to resolve issues quickly
• Write and maintain Terraform to codify infrastructure across the organization, with a focus on consistency, change safety, and reproducibility
• Contribute to capacity planning, cost optimization, and architectural reviews, with reliability as a first-class consideration
• Champion platform security best practices, including secrets management, IAM policies, and network segmentation
• Support compliance-aware infrastructure practices—vulnerability management, access reviews, audit-evidence flows, and incident-response readiness—as we mature our SOC 2 and student-data compliance programs
• Partner with data engineering to operate the orchestration platform and supporting infrastructure—deployment, scaling, reliability, and observability
• Collaborate with backend and data engineers to troubleshoot service and platform issues
• Lead by example in a frequent on-call rotation; drive incident response, blameless post-mortems, and the follow-through that turns one-time outages into systemic, lasting reliability improvements
• Provide guidance to developers on infrastructure concerns and best practices

Required Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field
• 5+ years of experience in infrastructure, platform, DevOps, or a related engineering role
• Hands-on experience with GCP (GCE, GCS, VPC, IAM, Cloud Monitoring, and related services)
• Experience with Docker and Kubernetes (GKE)—containerizing workloads, deploying to GKE, Helm, and cluster fundamentals
• Experience with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins, or similar)
• Experience with an observability platform such as New Relic (metrics, logging, alerting, dashboards)
• Proficiency in Terraform for managing infrastructure as code
• Scripting/programming skills in Python, Bash, or similar
• Comfort participating in a frequent production on-call rotation
• Track record of measurably improving reliability of production systems—e.g., defining SLOs, reducing incident frequency or MTTR, eliminating recurring failure modes
• Strong problem-solving skills, sense of ownership, and ability to work effectively in evolving systems
• Fluency in English for daily collaboration and technical documentation
• Proficiency in Mandarin Chinese to collaborate effectively with global engineering and business partners

Preferred Skills

• Experience operating workflow orchestration platforms (e.g., Dagster, Airflow) as a service for data or platform teams
• Familiarity with the operational footprint of data platforms (warehouse infrastructure, job schedulers, batch workloads)
• Experience in distributed or global engineering teams
• Working knowledge of compliance frameworks (e.g., SOC 2, FERPA, COPPA) and GRC tools.

Salary

160K to 200K (bonus included)