Epic is the leading digital reading platform for kids ages 12 and under, used by millions of children, families, and educators around the world. With a vast library of high-quality books and learning resources from 250+ of the world’s top publishers, Epic empowers kids to explore their interests, build literacy skills, and develop a lifelong love of reading.
Through personalized recommendations and built-in progress tracking, Epic helps children build confidence and curiosity—while giving parents and educators meaningful insight into each child’s learning journey. As Epic continues to grow, we are reimagining what reading can be through thoughtful technology, data, and global collaboration to make learning more engaging, accessible, and impactful.
Position Summary
The Senior Software Engineer, Infrastructure will play a key role in driving the stability, observability, and overall reliability of Epic's platform as we grow. You are an experienced engineer who works independently on complex infrastructure problems, makes sound technical decisions, and helps raise the bar for the engineers around you. You will own meaningful pieces of our GCP infrastructure, container platform, CI/CD pipelines, and observability stack—setting reliability standards, hardening the systems behind them, and making sure issues are caught early and resolved fast. You will partner closely with both our product engineering and data engineering teams to keep the platforms that power their applications and workflows running reliably.
This is a fully remote, US-based role working closely with a global, bilingual (English–Chinese) engineering team.
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.
