Job description
Senior Software Engineer II
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.
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
Within your first 90 days at Virta, we expect you will do the following:
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, 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.
Days 61–90: Lead & Shape
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.
Must-Haves
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.
Nice-to-Haves
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.
Our Work Stack
We don’t expect candidates to know everything on day one, but here are some of the tools we currently use day-to-day:
Cloud & Infrastructure
- Google Cloud Platform: GKE (Kubernetes), Workflows, Pub/Sub, BigQuery, CloudSQL, Memorystore, Gemini
Dev & Collaboration
GitHub + GitHub Actions for CI/CD
Google Workspace for docs, specs, and async collaboration
ChatGPT + OpenAI platform to accelerate development, testing, documentation, and product use cases
Languages & Tooling
Golang (primary language for backend services)
Python (for data tooling, automation, AI workflows)
JavaScript/TypeScript (for internal tools and platform UIs)
Values-driven culture
Virta’s company values drive our culture, so you’ll do well if:
You put people first and take care of yourself, your peers, and our patients equally
You have a strong sense of ownership and take initiative while empowering others to do the same
You prioritize positive impact over busy work
You have no ego and understand that everyone has something to bring to the table regardless of experience
You appreciate transparency and promote trust and empowerment through open access of information
You are evidence-based and prioritize data and science over seniority or dogma
You take risks and rapidly iterate
Is this role not quite what you’re looking for? Join our Talent Community and follow us on Linkedin to stay connected!
Virta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications & experience. For this role, the compensation range is $192,026 - $248,000. Information about Virta’s benefits is on our Careers page at: https://www.virtahealth.com/careers .
As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta’s security and privacy procedures to ensure our patients’ information remains strictly confidential. Security and privacy training will be provided.
As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco. We currently do not hire in the following states: AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.
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