• Lead the initial setup of our DevOps and platform engineering practices, defining standards, tooling, and infrastructure strategy • Design and deliver an internal platform for personal or feature environments to empower developers and improve velocity • Build and maintain AWS-based infrastructure to ensure optimal performance, scalability, and security • Develop CI/CD pipelines to streamline deployments and automate release processes • Implement observability tooling (logging, monitoring, alerting) to detect and resolve issues proactively • Collaborate closely with developers to identify bottlenecks, improve delivery, and enhance system reliability • Ensure high availability and uptime through effective monitoring, incident response, and recovery strategies • Promote infrastructure automation and Infrastructure as Code best practices • Document systems, configurations, and incident processes for team-wide clarity and consistency • Participate in on-call rotations or coordinate time zone coverage to ensure 24-hour reliability across regions

• Design and manage infrastructure deployments using Docker, Kubernetes, and AWS/GCP. • Develop secure key management systems for API keys and wallet abstraction. • Implement monitoring, logging, and incident handling for execution nodes. • Set up CI/CD pipelines and streamlined developer workflows (GitHub Actions). • Optimize infrastructure for reliability, security, and scalability. • Collaborate with backend engineers to support execution and receipts systems.

• Own the reliability, performance, and scalability of WorkOS's PostgreSQL infrastructure. • Analyze and implement best practices for our database clusters, including replication, connection pooling, high availability, and disaster recovery. • Build and maintain observability for database metrics (query performance, replication lag, connection saturation, storage growth) and ensure we meet our database SLOs. • Provide database expertise to product engineering teams through migration reviews, query optimization guidance, and schema design consultation. • Develop automation and self-service tooling that enables engineers to safely interact with databases without bottlenecking on the DBRE team. • Participate in on-call rotations and lead incident response for database-related production issues, performing root cause analysis and implementing permanent fixes. • Plan and manage database capacity, forecasting growth and ensuring our infrastructure can handle increased workloads. • Collaborate with SREs to roll out infrastructure changes to production environments, with a focus on minimizing risk to the data layer. • Document operational procedures, runbooks, and architectural decisions so learnings become repeatable actions and eventually automation. • Drive improvements to backup and recovery strategies, regularly testing and validating disaster recovery procedures.

• Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS • Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure • Define and measure SLIs/SLOs to guide reliability improvements • Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation • Improve our incident response process, lead postmortems, and drive follow-through on reliability risks • Develop internal tools and automations that make it easier to operate and scale our systems • Participate in our on-call rotation—responding to, resolving, and learning from production incidents • Contribute to design and architecture discussions with a focus on operability and long-term sustainability • Document systems, share learnings, and help grow a reliability-minded engineering culture