Senior Software Engineer II

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $192K - $248K

Virta Health is on a mission to transform type 2 diabetes and weight-loss care. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse diabetes and obesity in one billion people.

This role is a unique blend of real-world impact, technical challenge, and cutting-edge tools. You’ll help build and evolve Virta’s data engagement platform — the system that powers how we exchange critical healthcare data with our partners. You'll directly influence workflows like Coverage Eligibility, which determines whether someone can access life-changing care, and Member Marketing, which ensures the right people hear about Virta at the right time. You’ll move beyond brittle file drops and manual processes, designing modern, partner-friendly APIs and automation-first workflows — all while tapping into the power of AI to boost observability, accelerate development, and create smarter systems. This isn’t a role where AI is just a buzzword. You’ll actually get to integrate AI into your solutions — from streamlining onboarding, to improving data quality, to auto-generating documentation, alerts, or test cases. If you're excited about shaping foundational infrastructure, working cross-functionally, and using AI to build cleaner, faster, more intelligent systems, this is a place where you can thrive.

Requirements

• (Details are missing, but implied requirements include strong software engineering skills and experience with data integration)

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.

90 Day Plan

• First 30 Days: Learn & Connect
  • 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.
• Days 31–60: Contribute & Experiment
  • Ship production code: contribute meaningfully to an in-flight initiative, ideate on new solutions, and begin to drive small projects.
  • Begin to identify and scope opportunities for improvement within the data exchange platform.
  • Participate in system design discussions and contribute to architectural decisions.
  • Start to leverage AI tools to improve personal productivity and explore potential applications within the platform.
• Days 61–90: Drive & Own
  • Take ownership of a specific component or workflow within the data engagement platform.
  • Lead the technical design and implementation of a new feature or improvement, potentially involving AI integration.
  • Proactively identify and address technical debt or operational inefficiencies.
  • Contribute to the team’s knowledge base and mentor junior engineers.