At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.
We are looking for a seasoned Staff Engineer to lead the design and delivery of highly scalable, cloud-native backend, data, and AI systems with a strong focus on AI-driven automation and agentic workflows.
In this role, you will define the technical direction for the core TPA platform (Eligibility, Provider Data and others), enable intelligent, end-to-end workflows across systems, and drive the integration of AI into real-world business operations. You will operate at the intersection of backend architecture, data engineering, and applied AI, while mentoring engineers and influencing technical strategy across teams.
This is a hands-on leadership role for someone who thrives in ambiguous, high-impact problem spaces and can translate emerging AI capabilities into production-grade systems at scale.
What you'll do:- Set the technical vision and drive architecture for scalable, cloud-native backend, data, and AI systems
- Design and build API-first and event-driven systems supporting internal and external integrations (partners, EDI, downstream platforms)
- Lead development of high-throughput data pipelines (batch + streaming) powering operational workflows and AI use cases
- Design and implement AI-driven automation and agentic workflows to reduce manual operations and enable intelligent decisioning
- Integrate LLM-based capabilities (search, summarization, copilots, workflow orchestration) into core platform services
- Establish best practices for AI systems (prompting, evaluation, guardrails, observability, responsible AI)
- Build and evolve integration layers across APIs, events, and file-based systems (including complex partner integrations)
- Improve data quality, validation, lineage, and real-time visibility across critical business workflows
- Drive adoption of AI-assisted development workflows (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate engineering velocity and delivery
- Partner with Product, Data, and Operations to translate complex workflows into scalable, intelligent systems
- Lead small but nimble teams, cross-team initiatives, influencing technical roadmap and AI adoption and implementation strategy
- Mentor sr. engineers and technical leads, raising the bar on system design, data engineering, and AI adoption
- 10+ years of experience building scalable, distributed backend systems and platforms
- Strong expertise in Java/Spring Boot and/or Python, with deep understanding of microservices architecture
- Proven experience designing and operating integration-heavy systems (APIs, event-driven systems, partner integrations)
- Hands-on experience with cloud-native architectures and Implementation (AWS and/or GCP)
- Strong experience building data pipelines and data-intensive systems (batch and/or streaming)
- Deep understanding of data engineering principles (data modeling, quality, lineage, observability)
- Experience working with complex data domains (e.g., transactional systems, EDI, or operational workflows)
- Hands-on experience integrating AI/ML or LLM-based capabilities into production systems
- Familiarity with RAG pipelines, embeddings, and vector-based retrieval systems
- Solid understanding of event-driven architectures (Kafka, queues, SQS) and distributed systems design
- Hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development
- Strong understanding of AI-augmented engineering workflows, including prompt-driven development, testing acceleration, and iterative refinement
- Proven ability to lead cross-team technical initiatives, influence architecture, and mentor senior engineers
- Strong communication skills with the ability to connect technical decisions to business impact
- Backend: Java / Spring Boot, Python
- Cloud: AWS, GCP
- Orchestration: Kubernetes, Docker
- Databases: PostgreSQL
- Frontend: React, Angular
- AI Tooling: Claude Code, GitHub Copilot, Cursor, Gemini, and emerging AI platforms
This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 330,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.#LI-LN1
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
- Impactful projects that shape the future of our organization
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
- Flexible work arrangements and a supportive work-life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [email protected].
Privacy NoticeFor more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.
Skills Required
- 10+ years of experience building scalable, distributed backend systems and platforms
- Strong expertise in Java/Spring Boot and/or Python
- Proven experience designing and operating integration-heavy systems
- Hands-on experience with cloud-native architectures (AWS and/or GCP)
- Strong experience building data pipelines and data-intensive systems
- Deep understanding of data engineering principles
- Experience working with complex data domains
- Hands-on experience integrating AI/ML or LLM-based capabilities into production systems
- Familiarity with RAG pipelines, embeddings, and vector-based retrieval systems
- Solid understanding of event-driven architectures and distributed systems design
- Strong understanding of AI-augmented engineering workflows
- Proven ability to lead cross-team technical initiatives
- Strong communication skills
Collective Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Collective Health and has not been reviewed or approved by Collective Health.
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Healthcare Strength — Benefits include competitive medical, dental, and vision coverage with options for $0 employee-only premiums and no waiting period, with some plans offering very low out-of-pocket costs. Feedback suggests this level of coverage is a standout element of the total package.
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Leave & Time Off Breadth — Generous time-off programs encompass ample PTO, 12 paid holidays, baby-bonding leave with a supportive return-to-work program, and a fully paid four-week sabbatical after five years. Feedback suggests these elements meaningfully enhance overall rewards beyond cash.
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Wellbeing & Lifestyle Benefits — A $100 monthly wellness stipend, access to Headspace resources, commuter support, and optional add-on insurances provide breadth and flexibility in day-to-day benefits. Feedback suggests these lifestyle supports contribute tangible value alongside salary.
Collective Health Insights
What We Do
Collective Health is a technology company simplifying employer healthcare to make health insurance work for everyone. With more than a quarter million members and over 60 enterprise clients—including Pinterest, Restoration Hardware, and more—our technical and customer experience teams are reinventing the healthcare experience for employers and their people.
Why Work With Us
Collective Health has a mighty mission—to make the American healthcare system effortless—and a culture focused empathy, authenticity, curiosity, and a need to solve hard problems. We have a diverse, mission-driven team with doctors working alongside data scientists and nuclear engineers to reinvent the the healthcare experience for everyday people.
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