Senior Software Engineer II

Strong backend engineering skills, with a track record of building and operating scalable, reliable systems in production — ideally involving APIs, event-driven architectures, or data integrations. A proactive, ownership-first mindset — you don’t wait for direction; you surface problems, propose solutions, and drive them to completion. High agency and autonomy — able to navigate ambiguity, set direction, and execute independently, while keeping stakeholders aligned. Experience with B2B or partner-facing data systems, such as file-based integrations, real-time data exchanges, or partner APIs. Comfort working in fast loops, using experimentation and the Build-Measure-Learn mindset to validate assumptions and continuously improve outcomes. Willingness to leverage AI tools and patterns — not just as a curiosity, but as a practical way to enhance velocity, observability, and quality. Strong collaboration and communication skills, especially in cross-functional environments involving product, data, and external partners. Help define technical strategy and influence roadmaps across partner and platform teams to align near-term work with long-term goals.

Design and implement core components of Virta’s data exchange and engagement platform, enabling scalable, reliable, and partner-friendly data integrations. Lead technical discovery and delivery of high-impact projects across use cases like Coverage Eligibility and Member Marketing, collaborating closely with product, data, and external partners. Apply Lean Principles and an experiment mindset to drive progress through rapid iterations — using the Build-Measure-Learn loop to validate assumptions, reduce risk, and focus on outcomes over output. Modernize legacy systems, transitioning from file-based processes to API- and event-driven architectures, while ensuring strong observability, resilience, and security. Leverage AI tools and techniques to streamline workflows, enhance data quality, and accelerate development — including testing, documentation, and operational insights. Own systems end-to-end — from architecture through operations — and actively identify opportunities to improve platform performance, partner experience, and long-term maintainability.