Own and build backend services for benefit estimate (270/271), claims adjudication integrations, and claims processing pipelines. Ensure accuracy, reliability, and throughput across PostgreSQL, Redis, and BigQuery, design APIs, participate in architecture and incident response, and contribute to on-call rotation.
About Helm Health
Role Overview
Responsibilities
Requirements
Preferred Qualifications
Characteristics
Internal Tools/Technology
Compensation
Benefits/Offerings
Occasional Travel
Helm is a Series A start-up transforming health insurance with "Dynamic Copay" – a new insurance plan that lets members see simple, upfront prices for all medical care before making decisions. Our team is building the infrastructure to power these plans for health insurance payors. With Helm, our clients offer simpler health plans to their members, helping them navigate to higher-value care.
Our team has specialized in Dynamic Copay solutions since 2020, and Helm is the only independent platform in the market. We have grown rapidly since our launch, working with clients from local health plans to the nation's largest health insurers. The market is forming around us, making it an exciting time to join!
Role Overview
We're seeking a Staff Backend Engineer to join our Claims Engine team. You'll work across three critical areas: our 270/271 Benefit Estimate API, claims adjudication integrations, and claims processing pipelines. This role sits at the core of how we process and price healthcare claims, and you'll own services that are essential to our product and our clients' operations.
Responsibilities
- Build and maintain services that power 270/271 benefit estimate requests and responses.
- Develop and support performant, large-scale claims adjudication integrations.
- Own and improve claims processing pipelines for accuracy, reliability, and throughput.
- Write and maintain documentation for API contracts, data flows, and integration specifications.
- Write performant queries and manage data across PostgreSQL, Redis, and BigQuery.
- Collaborate with product and other engineering teams to translate complex healthcare workflows into reliable backend services.
- Participate in code reviews, architecture discussions, and incident response.
- Contribute to the on-call rotation for production systems.
- 8+ years building, owning, and maintaining backend services
- 2+ years writing Go
- Strong SQL skills, particularly PostgreSQL
- Experience with Redis and BigQuery (or similar analytical databases)
- Experience designing and building RESTful or gRPC APIs
- Experience with thorough testing strategies
- Docker/Kubernetes
- Google Cloud Platform
- gRPC/Protobuf experience
- Health insurance or claims processing experience
- Experience with 270/271 transactions or healthcare EDI
- Terraform/Terraform Cloud
- Python proficiency
- Incident management and response experience
- Start-up experience
- Self-directed and comfortable owning a domain end-to-end
- Mission-driven — motivated by making healthcare simpler and more transparent
- Willing to ask questions and admit what you don't know
- Detail-oriented — claims processing demands precision, and you hold yourself to that standard
- Cursor / Linear / GitHub / Notion / Whimsical
- Slack / Google Workspace / Zoom
- Incident.io / Sentry
- Claude, ChatGPT, Gemini — we are an AI-forward engineering team
- macOS / Linux
The target base salary range for this position is $150,000 - $225,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by several factors, including experience, skills, location, internal pay equity, and other relevant business considerations.
- Bonus + equity
- Unlimited PTO (mandatory 12 days)
- Computer + home office stipend
- 401(k) + matching
- Medical, dental, and vision insurance
- Autonomy and tons of room for career growth
We meet quarterly as a company.
Please note that this is a fully remote opportunity.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Build and operate production LLM-powered agents and machine learning systems for customer risk identification and threat detection. Translate security heuristics into agent logic, collaborate with threat researchers, develop data requirements and pipelines, evaluate precision and recall, and deploy solutions through CI/CD. The role also requires production reliability ownership, observability, incident debugging, cloud infrastructure expertise, and senior staff-level technical leadership.
Top Skills:
AthenaAWSCi/CdDockerElasticsearchLangchainLanggraphLlm AgentsNumpyOpensearchPandasPolarsPrestoPythonSQL
Cloud • Information Technology • Security • Software • Cybersecurity
Develop production LLM-powered agents and machine learning solutions for customer risk identification and threat detection. Translate threat-research methods into agent logic, build data requirements and pipelines, evaluate precision and recall, backtest and tune models, and deploy and monitor reliable solutions using CI/CD. Collaborate with threat researchers and data engineers while addressing production reliability, observability, data quality, cost, latency, and accuracy.
Top Skills:
AthenaAWSCi/CdContainerizationElasticsearchInfrastructure As CodeLangchainLanggraphLlmsMachine LearningNumpyOpensearchPandasPolarsPrestoPythonSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns and operates a scaled digital customer success program for mid-market SaaS customers from onboarding through renewal. Designs lifecycle campaigns, adoption plays, automated risk interventions, segmentation, health scores, and customer journeys. Partners with CSMs, Product, Marketing, and CS Operations to improve adoption, retention, customer health, and revenue outcomes. Builds dashboards, analyzes customer behavior, leverages AI and automation, and translates insights into scalable customer engagement actions.
Top Skills:
AIAutomationCrm SystemsCustomer Success PlatformsMarketing Automation ToolsSaaS
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
