Senior Software Engineer II

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.

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.

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.

We don’t expect candidates to know everything on day one, but here are some of the tools we currently use day-to-day:

Google Cloud Platform: GKE (Kubernetes), Workflows, Pub/Sub, BigQuery, CloudSQL, Memorystore, Gemini

SQL, BigQuery, dbt, data contracts, lineage, reconciliation, and data-quality testing

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

Golang (primary language for backend services)

Python (for data tooling, automation, AI workflows)

JavaScript/TypeScript (for internal tools and platform UIs)

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

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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. For more information, see Ashby's AI Terms at https://www.ashbyhq.com/resources/terms-ai-features

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