Senior Software Engineer II

Summary

Join Virta Health, a company transforming type 2 diabetes and weight-loss care, as a Senior Software Engineer II. You will build and evolve Virta’s data engagement platform, impacting workflows like Coverage Eligibility and Member Marketing. This role involves designing modern APIs, automating workflows, and integrating AI to improve systems. You will work cross-functionally, modernizing legacy systems, and leveraging AI for various tasks. The position requires strong backend engineering skills, experience with B2B data systems, and a proactive mindset. A 90-day plan outlines learning, contribution, and leadership expectations.

Requirements

• 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
• Typically 7–10 years of software engineering experience, with demonstrated ability to operate at a senior level

Responsibilities

• 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
• Understand Virta’s data ecosystem — architecture, key data flows, systems for Coverage Eligibility and Member Marketing, and how partners interact with Virta’s platform
• Get familiar with existing processes and pain points around file-based exchanges, partner onboarding, and incident patterns
• Build relationships with key stakeholders: engineering teammates, product managers, data team, and partner-facing roles (like Solutions or Support)
• Observe real-world partner data issues, reviewing tickets, Slack threads, and postmortems to identify recurring themes
• Ship production code: contribute meaningfully to an in-flight initiative, ideally touching data flows or partner integrations
• Identify and propose a small experiment or improvement, using the Build-Measure-Learn loop — e.g., automating a partner data quality check, or prototyping an API-first replacement for a file drop
• Leverage AI in your workflow (e.g., for test generation, observability enhancements, or documentation)
• Start building technical credibility across the team by writing clean, scalable code and actively participating in design reviews
• Own a meaningful workstream — such as a small net-new service, a platform capability (e.g., data validation or status tracking), or a cleanup/migration effort
• Drive an architectural discussion that involves tradeoffs across scalability, observability, and partner UX
• Show thought leadership by pushing forward better patterns (e.g., eventing over polling, AI-powered tooling, test coverage strategies)
• Build trust through delivery — others should be seeking your input and starting to rely on you as a technical thought partner

Preferred Qualifications

• Experience in healthcare data domains, such as eligibility, claims, EHR, or member marketing — especially in regulated or partner-integrated environments
• Prior work modernizing legacy data flows, including migrations from SFTP/file-based systems to API or event-driven architectures
• Familiarity with data quality frameworks, lineage tracking, or automated anomaly detection in partner data pipelines
• Demonstrated use of AI/LLM-based tooling in engineering work — e.g., for test generation, documentation, data mapping, or observability
• Experience designing for external developers or partners, including developer portals, onboarding flows, and integration support tooling
• Previous roles where you've had to influence without formal authority, or drive change across teams or systems you didn’t own directly

Benefits

Remote work, flexible hours