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, data quality, and incident patterns.

Build relationships with key stakeholders:

engineering teammates, product managers, the data team, and partner-facing roles. 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 touching data flows or partner integrations. Identify and propose a targeted improvement using the Build-Measure-Learn loop — e.g., automating a partner data-quality check or prototyping stage-level reconciliation. 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 correctness. Show thought leadership by pushing forward better patterns (e.g., eventing over polling, stronger test coverage, clearer data contracts). 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. Experience designing data-intensive systems where correctness depends on explicit schemas, identity or entity resolution, incremental processing, idempotency, lineage, reconciliation, and recovery from partial failure. 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. Demonstrated technical leadership — able to establish architecture and engineering standards across team boundaries, mentor senior engineers, and turn ambiguous business problems into a sequenced technical roadmap. Experience with B2B or partner-facing data systems, such as file-based integrations, real-time data exchanges, or partner APIs. Sound judgment about AI-assisted tooling — where it improves engineering velocity, data-quality investigation, documentation, and operations, and where deterministic controls are required for correctness and safety. Strong collaboration and communication skills, especially in cross-functional environments involving Product, data, and external partners. Typically 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. Experience with customer-data, marketing-automation, or audience-activation platforms such as Braze, Segment, Salesforce Marketing Cloud, or comparable systems. 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 data pipelines. Demonstrated use of AI/LLM-based tooling in engineering work — e.g., for test generation, documentation, data mapping, or observability. 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 k 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 Data & Modeling SQL, BigQuery, dbt, data contracts, lineage, reconciliation, and data-quality testing 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! All jobs except Health Coaches ← delete before posting 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 $176,500 - $228,000. 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.

Clinical roles:

We currently do not hire in the following states:

AK, HI, RI

Corporate roles: We currently do not hire in the following states:

AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.

Virta uses Ashby as its applicant tracking system, which incorporates AI-powered tools (provided by OpenAI, AWS, and Google Gemini) in certain aspects of the recruiting process, including application review, candidate screening, and interview note taking; your data is not used to train AI models, and all final hiring decisions are made by Virta Health personnel. 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Senior Software Engineer II