Lead Full Stack Engineer

Posted 10 Days Ago
Be an Early Applicant
3 Locations
In-Office
168K-210K Annually
Senior level
Healthtech
The Role
The Lead Full Stack Engineer will manage Claims Adjudication solutions, design scalable services, lead full-stack development using Java and React, and collaborate with cross-functional teams in a hybrid work environment.
Summary Generated by Built In

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.

The Cost Containment team is developing efficient systems for prior authorizations and utilization management, ensuring members receive appropriate care cost-effectively. These systems will integrate with partner solutions to achieve provider payment integrity and accuracy for the healthcare service. We are leveraging proven technologies and business rules engines to create a highly configurable system. Collective Health is building modern health management systems, which enhance the claims engine using cutting-edge technologies.

As a full-stack engineer, you will be responsible for the ownership and management of Claims Adjudication solutions. This includes developing new AI-powered solutions and providing support for existing microservices-based applications. Opportunities for growth involve leading an engineering team, gaining exposure to new technology adaptations, and contributing to the company's evolution into a future healthcare platform.

What you'll do:
  • Design and develop scalable, secure, and configurable platform services for the Cost Containment team.
  • Lead full-stack development and support of services across backend (Java/Spring Cloud), integration platforms (Kafka, Mulesoft), and frontend (React/Angular/GraphQL etc.).
  • Utilize working knowledge of AI-powered developer tools (e.g., Copilot, Cursor) and actively contribute to AI adoption in development and operational aspects.
  • Build and enrich APIs and data services to integrate with partners and our claims engine.
  • Collaborate with product managers, operations analysts, and data teams in building solutions that leverage Business Rules Management Systems (BRMS) like Drools etc.
  • Actively work with the operations team to create efficient processes through automations to improve SLAs.
  • Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
To be successful in this role, you'll need:
  • Experience: 8+ years as a Full-Stack engineer.
  • Full Stack Engineering: Strong proficiency in Java & Spring Cloud, with a deep understanding of microservices architecture and Kafka streaming. Proven experience building UI features using React/Angular with GraphQL.
  • AI Tools: Regular use of AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf).
  • Cloud: Extensive experience with Cloud Technologies (AWS/GCP preferred).
  • Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing data-intensive services.
  • Rules Engines: Nice to have experience in working with Business Rules Management Systems (BRMS) like Drools, Kogito etc.
  • Systems Development: Prior experience in building, launching, and maintaining complex systems.
  • Team Collaboration: Work closely with cross-functional teams, including developers, and product managers, to gather requirements and ensure solutions meet business needs.
  • Communication: Excellent communication skills across all levels and teams.
Pay Transparency Statement 

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 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

San Francisco, CA Pay Range
$168,000$210,000 USD
Lehi, UT Pay Range
$134,500$168,000 USD
Plano, TX Pay Range
$147,800$185,500 USD
Why Join Us?
  • 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 Notice

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

Top Skills

Ai Tools (Github Copilot
Angular
AWS
Business Rules Management Systems (Brms)
Cursor
GCP
GraphQL
Java
Kafka
Mulesoft
Postgres
React
Spring Cloud
SQL
Windsurf)
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The Company
Chicago, IL
500 Employees
Year Founded: 2013

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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