Senior Software Engineer, Infrastructure and Data

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.

The Senior Software Engineer, Infrastructure and Data will play a key role in keeping Epic's platform reliable, scalable, and efficient as we grow. You are an experienced engineer who works independently on complex infrastructure problems, makes sound technical decisions, and contributes meaningfully to data pipeline reliability—while also helping 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, and help the organization make better decisions through trustworthy, well-functioning data.

This is a fully remote, US-based role working closely with a global, bilingual (English–Chinese) engineering team.

- Build and operate Epic's GCP infrastructure, ensuring high availability, scalability, and cost efficiency
- Manage and improve our Docker and GKE container platform, including workload scheduling, autoscaling, and networking
- Maintain and improve CI/CD pipelines that enable fast, safe delivery across engineering teams
- Monitor and improve system health and performance using New Relic
- Write and maintain Terraform to codify infrastructure across the organization
- Contribute to capacity planning, cost optimization, and architectural reviews
- Champion platform security best practices, including secrets management, IAM policies, and network segmentation
- Build, maintain, and optimize data pipelines and transformations to ensure reliability, performance, and data quality
- Collaborate with data and backend engineers to troubleshoot pipeline and service issues
- Participate in a frequent on-call rotation; contribute to incident response, post-mortems, and systemic improvements
- Provide guidance to developers on infrastructure concerns and best practices

- 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
- 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

- Experience with **BigQuery**, **dbt**, and **Dagster** for data pipeline development and orchestration
- Familiarity with data warehouse or data pipeline architectures
- Experience in distributed or global engineering teams

Salary - 160K to 200K (bonus included)