As a Staff Engineer, you will be a technical leader responsible for solution design, architecture, and the reliable operation of services across the digital health ecosystem. You will work across teams, products, and lines of business to make sure important decisions are coherent, scalable, and grounded in the needs of members and customers. This is an individual contributor leadership role. Writing code remains part of the work, but your highest-leverage contribution will often be clarifying ambiguous problems, shaping technical direction, mentoring engineers, improving engineering practices, and helping teams make better decisions earlier. You will operate in an environment that values ownership, high standards, and reliable service. Staff engineers are expected to take responsibility for outcomes, not just output. You will follow important problems through to resolution, especially when they become difficult, cross team boundaries, or expose deeper system design issues. Responsibilities: Lead solution design and architecture for complex full stack systems, balancing customer impact, operational risk, delivery speed, maintainability, and long-term platform health. Own technical outcomes through production, including system behavior, observability, incident response, performance, reliability, maintainability, and continuous improvement. Work across teams to align technical direction, clarify ownership, identify dependencies, and ensure GreenShield's digital health services evolve as a coherent ecosystem. Define success in measurable terms. Establish metrics, instrument systems, and use data to guide decisions, evaluate trade-offs, validate assumptions, and improve outcomes. Raise the bar for operational excellence through strong logging, metrics, alerts, dashboards, SLOs, runbooks, production readiness practices, and disciplined follow-up after incidents. Lead technical discovery and planning for ambiguous or high-impact initiatives, including requirements clarification, estimates, risks, trade-offs, architecture options, and execution plans. Drive improvements to API design, automated testing, CI/CD, cloud infrastructure, data flows, service reliability, and developer workflows. Identify and remove unnecessary complexity in systems, workflows, dependencies, and team processes so teams can deliver faster and more safely. Partner effectively with Product, Design, Data, Security, Operations, and engineering leadership to align on goals, surface risks early, and make trade-offs explicit.