We deliver a connected healthcare experience for over a quarter million members and 60+ companies across the nation who want the best for their employees. We've got a ton of interesting problems to solve around data pipeline design and implementation, data architecture and modeling, distributed systems, and more. If you're passionate about tackling hard problems while making a real difference in the world, we'd love to talk!

What you'll do: 

• Data Infrastructure Orchestration - Build and maintain cloud native infrastructure for Data Platform (AWS, Terraform)
• Data Pipelines - Create new pipelines and improve/maintain existing pipelines using Spark (Python, Pyspark, SQL)
• Data Modeling - Partner with analytic consumers to design logical and physical schemas, improve existing data models and build new ones
• Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers
• Build data expertise and own data quality across various business domains including healthcare claims and member experience
• Manage the Business Intelligence development lifecycle, from semantic model development and version control to user administration, ensuring high data quality and consistency from the pipeline through to the visualization layer.
• Enable fellow developers to “self-service” their data needs
• Leverage best in industry practices to build the next generation data ecosystem to collect, move, store and analyze data

To be successful in this role, you'll need:

• BS degree in Computer Science or related technical field, or equivalent practical experience
• 4+ years proven work experience as a data engineer, working with at least one programming language (e.g. Scala, Python/PySpark) plus SQL expertise
• 4+ years experience with schema design, dimensional data modeling, and large-scale data warehousing architecture
• Expertise in building data pipelines through efficient ETL design, implementation and maintenance 
• Background working with distributed data systems such as Spark, Presto, Hive, and Redshift. Experience with BI platform administration and/or schedulers/workflow management tools (e.g. Airflow) a plus
• Excellent communication skills to collaborate with stakeholders in Engineering, Product, Data Science, Analytics/BI, and Operations

Pay Transparency Statement 

This is a hybrid position based out of our Plano office, with the expectation of being in office at least three weekdays 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 115,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

This is not a traditional QA role. You will be the quality owner for an LLM-based multi-agent pipeline that autonomously adjudicates health insurance claims for self-funded plan sponsors. You are building a Three-Tier Evaluation Framework to ensure our Gemini-powered agents reason correctly, call tools accurately, and produce DOL-ready outcomes.

You will work at the intersection of Vertex AI, healthcare compliance, and high-scale data engineering. Your work directly determines whether claims are paid correctly and whether the company can withstand a Department of Labor (DOL) or state DOI audit. The stakes are real, the domain is hard, and the problems are genuinely novel.

What you'll do:

• Outcome Evaluation (The "What")
  • Golden Set Governance: Build and maintain a versioned library of "Grounding Data" results by working with senior claims examiners to define "Ground Truth."
  • Model-as-a-Judge Automation: Design automated "LLM-grading-LLM" workflows using custom rubrics to score factual grounding and policy compliance.
  • Semantic Assertion Framework: Develop testing libraries that move beyond string matching to validate semantic equivalence and numerical accuracy in agent outputs.
• Trajectory Evaluation (The "How")
  • Function-Call Auditing: Use Vertex AI traces to programmatically verify that mandatory tools (via MCP) were invoked with correct arguments.
  • Orchestration Logic Validation: Assert that agents respect defined priorities across the four architectural layers: Data & Knowledge, Orchestration, Agentic Reasoning, and Tooling.
  • Reasoning Trace Auditing: Ensure every autonomous decision is traceable to a specific SOP sentence and a live API data point.
• Continuous Automated Regression (The "Always")
  • CI/CD Integration: Every prompt or model update in Vertex AI Prompt Management must trigger an automated regression run.
  • Auto-SxS: Own the automated pairwise comparison process to detect logic drift between "New" and "Production" agent versions.
  • Mocking & Resilience: Build a Vertex AI/ADK mocking layer to simulate model responses, allowing for thousands of logic tests in seconds with zero API costs.

To be successful in this role, you'll need:

• Required Skills (The Core Bar)
  • Python SDET Expertise: Expert in Python and pytest, specifically building custom mocking frameworks for external APIs (Vertex AI/ADK).
  • AI/LLM Observability: Hands-on experience with Vertex AI Experiments, Auto-SxS, and Cloud Logging for trace analysis.
  • Data Literacy: Expert-level SQL (BigQuery) and Pandas skills to "diff" massive datasets and identify adjudication discrepancies.
  • Prompt Engineering for QA: Ability to analyze "System Instructions" and refine prompts based on failed test cases to close logic gaps.
  • Architectural Testing: Experience testing multi-layer systems involving RAG (Vertex AI Search), state management (LangGraph), and function calling.
• Preferred Skills (The "Nice-to-Haves")
  • Healthcare/Claims Domain: Familiarity with claims adjudication concepts (pend reason codes, COB, eligibility, stop-loss).
  • Compliance Knowledge: Understanding of HIPAA/PHI handling and writing test evidence for regulatory bodies (DOL/DOI).
  • Human-in-the-Loop Testing: Experience in "Shadow Mode" monitoring—comparing agent decisions against human expert (MCA) baselines.

Pay Transparency Statement 

This is a hybrid position based out of our Lehi office, with the expectation of being in office at least two weekdays 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 115000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

As a Lead Data Analyst, you will be the primary technical lead for our most significant clients and a driving force behind our team’s data and analytics excellence. You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable narratives. This role is designed for a self-starter who thrives in high-pressure environments, capable of leading high-priority projects with tight turnaround times, who can navigate sophisticated data landscapes, lead by example, and deliver high-impact presentations that influence decision-making.

What you'll do:

• Lead Strategic Reporting & Delivery: Own the end-to-end lifecycle of analytics for leadership and key stakeholders. You will ensure that high-impact reporting is not only delivered on schedule but is strategically aligned with clinical and financial objectives.
• Direct Client Analytics Partnership: Serve as the primary analytics lead for top-tier client requests. You will move beyond requirement gathering to act as a consultant, designing solutions that solve complex healthcare business challenges and presenting these insights directly to key partners.
• Technical Excellence & SQL Mentorship: Establish and uphold the standards for data integrity by leading peer code reviews. You will provide expert guidance on SQL optimization, complex logic validation, and adherence to rigorous data governance and compliance standards.
• Advanced Project & Knowledge Management: Oversee the reporting roadmap and project lifecycle via Jira and Confluence. You will ensure transparent communication of project statuses, maintain technical documentation, and proactively identify risks to delivery timelines.
• Key Stakeholder Communication: Act as the "voice of the data" for key stakeholders. You will translate dense healthcare findings into compelling narratives and high-level presentations, bridging the gap between technical complexity and business-critical decision-making.
• Rapid Impact Assessment: Lead high-priority routine and ad-hoc analyses, including internal and external audits for clients delivering insights in accelerated timeframes when required.
• Architectural Gatekeeping: Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to move to automated, scalable solutions.

To be successful in this role, you'll need:

• At least 8 years of experience in healthcare analytics, with a specific emphasis on analyzing healthcare claims data, population health, and member experience.
• Analytical Rigor: Strong critical thinking skills and a resourceful approach to professional development. We value candidates who take ownership of their learning, possess a high degree of initiative, and are committed to delivering results through diligent effort.
• Strong critical thinking: resourcefulness, initiative, and ownership of professional development are valued. Candidates must be committed to diligent effort and delivering results.
• Agility and Learning Velocity: Proven track record of mastering new data environments and complex healthcare schemas with minimal training.
• Automation Mindset: Experience replacing manual hand-offs with automated triggers or self-serve tools.
• Systemic Problem Solving: Proven ability to look across a portfolio of requests and identify the underlying data commonality to maximize impact of every tool or dashboard built.
• Domain Expertise: Deep understanding of the claims lifecycle and nuances involved with reporting logic.
• Technical Proficiency: Proven ability writing and optimizing SQL queries and experience building visualizations/models in Looker (or comparable tools like Tableau).
• Industry Context: Experience working directly with health care claims and or member experience data at a payer provider, TPA, or Point Solution.
• Project Management: Proficiency in Agile tools like Jira for task management and Confluence for process documentation.
• Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and non-technical issues effectively to technical stakeholders.
• Education: Bachelor’s degree in Mathematics, Economics, Statistics, Computer Science, Business Administration or a related quantitative field (or equivalent professional experience).

Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, 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 115,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

About the Role:

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

To be successful in this role, you'll need:

• 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

Our Tech Stack:

• 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

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 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

We are seeking a highly skilled Lead GCP Engineer to join our infrastructure team. You will be responsible for designing, building, and maintaining our cloud environment with a heavy focus on automation and security. If you enjoy architecting scalable systems and believe that "everything should be code," you’ll fit right in

What you'll do:

• Infrastructure as Code: Design and deploy production-ready cloud infrastructure using Terraform to ensure consistency and scalability across environments.
• Container Orchestration: Manage, scale, and optimize containerized workloads using GKE (Google Kubernetes Engine).
• Identity & Security: Design and implement robust IAM (Identity and Access Management) policies, following the principle of least privilege to secure our GCP resources.
• Automation & CI/CD: Build and maintain automated CI/CD pipelines to streamline application deployment and infrastructure updates.
• Cloud Architecture: Collaborate with engineering teams to provide Google Cloud-related technical guidance and best practices.

To be successful in this role, you'll need:

• 8+ years work experience in DevOps, Infrastructure, or Software Engineering
• Terraform Mastery: Proven experience writing complex, reusable Terraform modules for cloud resource management.
• GCP Expertise: Deep technical knowledge of the Google Cloud Platform ecosystem.
• Kubernetes Experience: Hands-on experience working with GKE and managing containerized environments.
• Security Mindset: A strong understanding of how to set up and audit IAM roles and permissions in a multi-project GCP environment.
• DevOps Culture: Experience with modern CI/CD tools (e.g., GitLab CI, GitHub Actions, or Jenkins) and a passion for automation.

Pay Transparency Statement 

This is a hybrid position based out of our Plano office, with the expectation of being in office at least two weekdays 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 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.

The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini.

What you will do:

• Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.
• Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents.
• Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding
• Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
• Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.
• Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.
• Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.

To be successful in this role, you'll need:

• Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI.
• Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK).
• Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
• Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments.
• 8+ years of Full-Stack experience with a heavy focus on backend systems.
• AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.

Preferred Qualifications

• Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures.
• Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats.
• Java Proficiency: working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.

Our Tech Stack

• AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
• Existing Backend: Java, Spring Cloud, Spring Boot.
• Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery
• Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker.

Pay Transparency Statement

This is a hybrid position based out of our Lehi office, with the expectation of being in office at least two weekdays per week. #LI-hybrid #LI-NM1

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 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

The Provider Servicing team is developing integrations with our partners to provide a better experience for our Providers. Ensuring providers receive accurate information they need to provide care and process claims. Information integrity and accuracy is critical and so is providing this information in a secure and timely manner. We are leveraging proven technologies to accomplish this. Collective Health is building modern health management systems, these integrations are a critical part of that.

As a backend engineer, you will be responsible for the ownership and management of Provider Servicing systems. This includes developing new AI-powered solutions and providing support for existing microservices-based applications and integration platforms. 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 Provider Servicing Team.
• Lead backend development and support of services across backend (Java/Spring Cloud) and integration platforms (Mulesoft and others)
• 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.
• Collaborate with product managers, operations analysts, customer advocates in building solutions that helps Providers integrate with our platform.
• Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
• Lead and mentor other engineers in the team and help them succeed.
• Actively work with the operations and customer advocates to create efficient processes through automations to improve SLAs.

To be successful in this role, you'll need:

• Experience: 10+ years as a Backend Engineer
• Backend Engineering: Strong proficiency in Java & Spring Cloud, with a deep understanding of microservices architecture and Integration platforms
• 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.
• 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 205,000 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

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. 

What you'll do:

• Design and develop scalable, secure, and configurable platform services for the Claims 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, Camunda 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 and Development Tools: Utilize AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf) regularly. Possess a foundational understanding of Large Language Models (LLMs) and Agentic development for creating AI-native solutions using LangChain, Google ADK, etc.
• 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 205,000 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