• Anchor architecture decisions for EA's AI/agentic stack: patterns for skills, tools, agent loops, evals, memory, and observability. • Pick the highest-leverage problems to automate and run them end-to-end with department partners and EA peers. • Ship production-grade Python and TypeScript services, internal UIs, and integrations across our SaaS estate (Okta, Slack, Salesforce, Workday, NetSuite, Zendesk, Jira, and others). • Design data models in PostgreSQL that make automation, observability, and AI experimentation safe. • Contribute to code reviews and propose improvements to testing, documentation and runbook practices. • At Greenhouse's request, provide availability during agreed windows for production support activities.

• Provide technical support for the development and evolution of APIs across the ecosystem (finance, card, transactions, processing, acquirers) • Make decisions, together with the architecture team, at the service level: domain modeling, API contracts, integration strategies • Serve as the team's technical reference • Design and implement integrations with external systems • Contribute to defining development standards, CI/CD pipelines, and observability best practices

• Take an active role in influencing our roadmap and your own career objectives • Work with your team to deliver new features • Drive projects from initial ideation all the way to operations • Design, build, operate, and maintain critical systems • Mentor and support other team members • Learn new skills by gaining a deeper understanding of our cloud product

• Take an active role in influencing our roadmap and your own career objectives • Work with your team to deliver new features, then use the results to iterate and improve • Embrace our open-source culture and contribute to other projects • Design, build, operate, and maintain critical systems • Be a part of your team’s on-call rotations and take ownership of the services you’re running • Mentor and support other team members