• Build, operate and optimize cloud infrastructure • Responsible for core infrastructure components (compute, storage, content delivery, DNS, network security) • Design network architecture, scaling and high availability • Monitor operating costs and identify optimization opportunities • Actively participate in building, relocating and migrating our infrastructure

• Improve the high availability of our Dockerized microservices to ensure platform stability. • Launch and manage services in Kubernetes to scale our global operations. • Develop and operate infrastructure via Terraform, promoting automation and standardization practices like GitOps and immutability. • Deploy releases to production and staging environments while managing the full lifecycle of deployment processes. • Improve upon our CI/CD pipeline using tools like GitHub Actions to streamline delivery. • Build and maintain monitoring tools for logging, performance, uptime, and tracing to improve system observability. • Optimize database performance and manage backups, restorations, and Disaster Recovery Plan (DRP) procedures. • Collaborate with Engineering teams to provide tooling, development support, and post-incident recovery. • Contribute to the continuous improvement of IT security best practices and architecting new features. • Participate in the on-call rotation to ensure rapid incident resolution and stakeholder communication under pressure.

• Spark / YARN Job Optimization: Analyze job resource usage and identify inefficiencies (CPU idle, memory waste, timeouts, small file problems, etc.) • Build job profiling systems: job classification, resource baseline modeling, historical trend analysis • Produce optimization reports and drive business owners to implement improvements • AI-Driven Automation & Tooling: Use AI coding tools (Cursor / Copilot / Claude, etc.) fluently to accelerate development and tool delivery • Participate in EMR / S3 cost optimization projects: analyze high-cost jobs and storage, identify waste, and drive owners to take action • Develop automated ops scripts: scheduled health checks, anomaly alerting, data governance policy auto-deployment • Help build internal SaaS tooling to systematize and productize repetitive manual operations • Monitoring & Alerting: Maintain and improve existing monitoring systems (Prometheus metrics, alerts, log analysis) • Participate in Flink / Spark job health monitoring development • Assist with capacity alerting and governance for disk, S3, and other storage layers

• Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. • Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. • Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. • Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. • Partner with engineers across the company to build a platform that is stable, predictable, and secure. • Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents.