b.well Connected Health Jobs Hiring Now
b.well Connected Health is hiring for 10 open roles on Migrate Mate as of July 16, 2026, concentrated in cloud engineering and engineering (Non-Software), with listed salaries up to about $220,000. Migrate Mate updates b.well Connected Health's live openings daily. b.well Connected Health is a healthcare technology company that builds interoperability and consumer engagement software for patients, providers, and health plans.
Find b.well Connected Health JobsOverview
b.well Connected Health hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 10
- Top team
- Cloud Engineering
- Seniority
- Manager level or above
- Work type
- 100% remote or hybrid
- Top location
- Remote
- Salary range
- $110,000–$220,000
Listed salaries for b.well Connected Health roles on Migrate Mate range from about $110,000 to $220,000 per year across 10 open roles, as of July 16, 2026.
Open Roles at b.well Connected Health
Showing 10 of 10+ b.well Connected Health jobs
Staff Software Engineer - Platform Architecture
We won't show you this job again
Added 3w ago
b.well Connected Health
Staff Software Engineer - Platform Architecture
Remote
Added 3w ago
Senior Backend Engineer - Provider Directory
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Added 3w ago
b.well Connected Health
Senior Backend Engineer - Provider Directory
Remote
Added 3w ago
Platform Implementation Manager
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Added 3w ago
b.well Connected Health
Platform Implementation Manager
Remote
Added 3w ago
Consumer Engagement Automation Specialist II
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Added 1mo ago
b.well Connected Health
Consumer Engagement Automation Specialist II
Remote
Added 1mo ago
Senior Clinical Informatics & Outcomes Analyst
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Added 1mo ago
b.well Connected Health
Senior Clinical Informatics & Outcomes Analyst
Remote
Added 1mo ago
Lead Backend Engineer - Data Interoperability
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Added 1mo ago
b.well Connected Health
Lead Backend Engineer - Data Interoperability
Remote
Added 1mo ago
Inside Sales Representative
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Added 1mo ago
b.well Connected Health
Inside Sales Representative
Remote
Added 1mo ago
Staff Interoperability Engineer - Healthcare Data
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Added 1mo ago
b.well Connected Health
Staff Interoperability Engineer - Healthcare Data
Remote
Added 1mo ago
Senior Site Reliability Engineer
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Added 1mo ago
b.well Connected Health
Senior Site Reliability Engineer
Remote
Added 1mo ago
Staff Data Engineer
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Added 1mo ago
b.well Connected Health
Staff Data Engineer
Remote
Added 1mo ago
Added 3w ago
Staff Software Engineer - Platform Architecture
b.well Connected Health·Remote
Job functions:
$175k - $220k/yr
Remote (US)
51-200 employees
Job Description
Remote (US) · Full-time
Company Overview
b.well is solving healthcare’s fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action—whether it’s scheduling care, setting reminders, accessing health data, and more. For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.
Position Overview
The Architecture team defines how that platform is designed and built. We set the patterns, contracts, and standards the rest of engineering builds on, run technical design reviews, and take on the hardest, most cross-cutting systems ourselves. We're hiring a Staff Software Engineer to own work like event-driven data integration on Kafka, large-scale distributed processing, and the API and federated GraphQL layer behind our SDKs — and to partner on making AI a dependable part of the platform.
This is a hands-on role. You design these systems, you build them, and you help operate them in production. You work horizontally across teams rather than inside a single product squad, so the patterns and services you create show up everywhere. The hard problems here are about scale, correctness, distributed-systems behavior, and the real-world messiness of healthcare data.
What you'll do:
- Design and build event-driven distributed systems on Kafka: orchestrator and worker services, schema and contract governance (AsyncAPI, CloudEvents), idempotent consumers, sagas and event choreography, and config-driven pipelines that onboard new data sources without code changes.
- Own API architecture at scale across REST and a federated GraphQL gateway (WunderGraph Cosmo) that powers our SDKs, including schema composition, versioning, contract evolution, and FHIR conformance.
- Partner on AI architecture and enablement: help make LLMs and agents dependable parts of the system (retrieval, evaluation, guardrails, and clear boundaries around protected health data), working alongside the dedicated Applied AI Engineering lead who owns that area.
- Shape FHIR and health-data architecture: terminology services, resource modeling, clinical quality measurement (DQM and CQL), high-volume document storage, and query performance across MongoDB and ClickHouse.
- Help run the technical design review process and document the decisions and standards, so significant designs are reviewed against consistent criteria and the platform stays coherent as it grows.
- Stay close to the code and to production: write real software, build proofs of concept that prove out a pattern before teams adopt it, and use observability and operational data to confirm decisions hold up and to debug incidents when they don't.
- Mentor senior engineers and tech leads on distributed-systems thinking, system design, and the trade-offs behind good architecture.
What we're looking for:
- Deep expertise in large-scale distributed systems and scalable design. You've built and operated systems that handle high volume and real failure modes, and you're fluent in partitioning, back-pressure, idempotency, eventual consistency, and the trade-offs between consistency and availability.
- Strong event-driven architecture experience, hands-on with Kafka: topic and partition design, schema evolution and governance, consumer groups, idempotency, and the operational side of running it in production.
- Strong API design across REST and GraphQL. We run a federated GraphQL gateway, so schema composition, versioning, and contract evolution matter here as much as clean endpoint design.
- Exposure to AI as a component of a system is a plus — LLMs or agents and the practical concerns around them (retrieval, evaluation, guardrails, cost and latency). Deep AI architecture ownership sits with a dedicated Applied AI Engineering hire, so it isn't a primary requirement here. We do expect you to use AI tools like Claude fluently in your own work.
- A well-rounded, hands-on engineer who goes deep in at least one strongly-typed language and moves comfortably across a polyglot stack. You have strong software-design instincts and care about clean interfaces, sensible abstractions, and keeping services loosely coupled. Our backend spans Python (data and AI), TypeScript/Node.js (which runs our FHIR server), and Java/Spring Boot (FHIR processing and backend services), with Kafka, our federated GraphQL gateway, Databricks, ClickHouse, MongoDB, and AWS around it.
- Sound data and storage instincts: data modeling, caching, query optimization, and how batch and streaming workloads (for example on Spark or Databricks) fit together with operational systems.
- Cloud-native and security fundamentals: Kubernetes and AWS, identity and auth (OIDC, token exchange), and multi-tenant isolation in a regulated environment that handles protected health data.
- You can walk someone through a system you've designed and operated end to end: how it works, where it breaks, and the trade-offs you made.
- Healthcare or FHIR experience is a strong plus and something you'll go deep in here. If you haven't worked in the domain yet, that's fine; it's learnable, and we'll help you get there.
What success looks like after 12-18 months:
- The platform's event-driven and API/GraphQL foundations are solid, well-governed, and adopted across teams.
- The platform's AI integration points are dependable and safe to build on, in partnership with the Applied AI Engineering lead.
- FHIR and health-data architecture (terminology, quality measurement, storage) performs well and scales to millions of patients.
- Technical design reviews run efficiently, with clear decisions and standards that teams rely on.
- Engineering moves faster because teams build on proven, reusable platform patterns instead of reinventing them.
Compensation & benefits
The target salary range for this position is $175,000 - $220,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
About applying
The target salary range for this position is $175,000 - $220,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
About applying
Data shows that women, people of color, and other underrepresented groups may be less likely to apply for jobs unless they believe they are a perfect match. But b.well holds diversity amongst its key values, and we have a strong commitment to building our workforce and products through that lens.
You don't have to check every box in this job description to be a great fit for the role. If you're excited about this position and the prospect of working for b.well, please apply. If it turns out this role isn't for you, there may be other openings that could align with your experience and expertise.
We are committed to an inclusive and diverse b.well. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
Pay Range: $175,000 - $220,000 per year
b.well Connected Health
Staff Software Engineer - Platform Architecture
Remote
Added 3w ago51-200 employees
Job functions:
$175k - $220k/yr
Remote (US)
Job Description
Remote (US) · Full-time
Company Overview
b.well is solving healthcare’s fragmentation problem with our FHIR-based health data management platform. The platform connects data from EHRs, wearables, portals, and other sources, while our intelligence engine personalizes the consumer experience. By simplifying the complex healthcare ecosystem, we make it easy and convenient for consumers to engage and take action—whether it’s scheduling care, setting reminders, accessing health data, and more. For our clients, this means better health outcomes, operational efficiency, and stronger consumer engagement.
Position Overview
The Architecture team defines how that platform is designed and built. We set the patterns, contracts, and standards the rest of engineering builds on, run technical design reviews, and take on the hardest, most cross-cutting systems ourselves. We're hiring a Staff Software Engineer to own work like event-driven data integration on Kafka, large-scale distributed processing, and the API and federated GraphQL layer behind our SDKs — and to partner on making AI a dependable part of the platform.
This is a hands-on role. You design these systems, you build them, and you help operate them in production. You work horizontally across teams rather than inside a single product squad, so the patterns and services you create show up everywhere. The hard problems here are about scale, correctness, distributed-systems behavior, and the real-world messiness of healthcare data.
What you'll do:
- Design and build event-driven distributed systems on Kafka: orchestrator and worker services, schema and contract governance (AsyncAPI, CloudEvents), idempotent consumers, sagas and event choreography, and config-driven pipelines that onboard new data sources without code changes.
- Own API architecture at scale across REST and a federated GraphQL gateway (WunderGraph Cosmo) that powers our SDKs, including schema composition, versioning, contract evolution, and FHIR conformance.
- Partner on AI architecture and enablement: help make LLMs and agents dependable parts of the system (retrieval, evaluation, guardrails, and clear boundaries around protected health data), working alongside the dedicated Applied AI Engineering lead who owns that area.
- Shape FHIR and health-data architecture: terminology services, resource modeling, clinical quality measurement (DQM and CQL), high-volume document storage, and query performance across MongoDB and ClickHouse.
- Help run the technical design review process and document the decisions and standards, so significant designs are reviewed against consistent criteria and the platform stays coherent as it grows.
- Stay close to the code and to production: write real software, build proofs of concept that prove out a pattern before teams adopt it, and use observability and operational data to confirm decisions hold up and to debug incidents when they don't.
- Mentor senior engineers and tech leads on distributed-systems thinking, system design, and the trade-offs behind good architecture.
What we're looking for:
- Deep expertise in large-scale distributed systems and scalable design. You've built and operated systems that handle high volume and real failure modes, and you're fluent in partitioning, back-pressure, idempotency, eventual consistency, and the trade-offs between consistency and availability.
- Strong event-driven architecture experience, hands-on with Kafka: topic and partition design, schema evolution and governance, consumer groups, idempotency, and the operational side of running it in production.
- Strong API design across REST and GraphQL. We run a federated GraphQL gateway, so schema composition, versioning, and contract evolution matter here as much as clean endpoint design.
- Exposure to AI as a component of a system is a plus — LLMs or agents and the practical concerns around them (retrieval, evaluation, guardrails, cost and latency). Deep AI architecture ownership sits with a dedicated Applied AI Engineering hire, so it isn't a primary requirement here. We do expect you to use AI tools like Claude fluently in your own work.
- A well-rounded, hands-on engineer who goes deep in at least one strongly-typed language and moves comfortably across a polyglot stack. You have strong software-design instincts and care about clean interfaces, sensible abstractions, and keeping services loosely coupled. Our backend spans Python (data and AI), TypeScript/Node.js (which runs our FHIR server), and Java/Spring Boot (FHIR processing and backend services), with Kafka, our federated GraphQL gateway, Databricks, ClickHouse, MongoDB, and AWS around it.
- Sound data and storage instincts: data modeling, caching, query optimization, and how batch and streaming workloads (for example on Spark or Databricks) fit together with operational systems.
- Cloud-native and security fundamentals: Kubernetes and AWS, identity and auth (OIDC, token exchange), and multi-tenant isolation in a regulated environment that handles protected health data.
- You can walk someone through a system you've designed and operated end to end: how it works, where it breaks, and the trade-offs you made.
- Healthcare or FHIR experience is a strong plus and something you'll go deep in here. If you haven't worked in the domain yet, that's fine; it's learnable, and we'll help you get there.
What success looks like after 12-18 months:
- The platform's event-driven and API/GraphQL foundations are solid, well-governed, and adopted across teams.
- The platform's AI integration points are dependable and safe to build on, in partnership with the Applied AI Engineering lead.
- FHIR and health-data architecture (terminology, quality measurement, storage) performs well and scales to millions of patients.
- Technical design reviews run efficiently, with clear decisions and standards that teams rely on.
- Engineering moves faster because teams build on proven, reusable platform patterns instead of reinventing them.
Compensation & benefits
The target salary range for this position is $175,000 - $220,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
About applying
The target salary range for this position is $175,000 - $220,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
About applying
Data shows that women, people of color, and other underrepresented groups may be less likely to apply for jobs unless they believe they are a perfect match. But b.well holds diversity amongst its key values, and we have a strong commitment to building our workforce and products through that lens.
You don't have to check every box in this job description to be a great fit for the role. If you're excited about this position and the prospect of working for b.well, please apply. If it turns out this role isn't for you, there may be other openings that could align with your experience and expertise.
We are committed to an inclusive and diverse b.well. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
Pay Range: $175,000 - $220,000 per year
Job Roles at b.well Connected Health
Cloud Engineering4 jobs
Engineering (Non-Software)1 jobs
Health Informatics1 jobs
Business Operations1 jobs
Business Development1 jobs
Data Analytics1 jobs
Customer Service1 jobs
Working at b.well Connected Health
b.well Connected Health's 10 open roles are manager level or above, and about 100% are remote or hybrid. The most active teams are cloud engineering, engineering (Non-Software), and health informatics. b.well Connected Health builds software that connects patient health data across providers and health systems, enabling interoperability between clinical, claims, and consumer health records. The company develops platforms used by healthcare organizations to give patients unified access to their health information. Most b.well Connected Health roles are based in Remote.
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Browse jobs by roleb.well Connected Health Jobs: Frequently Asked Questions
How many jobs is b.well Connected Health hiring for right now?
b.well Connected Health is hiring for 10 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in cloud engineering and engineering (Non-Software). Roles span backend engineering, data engineering, clinical informatics, platform implementation, and sales, reflecting the company's focus on healthcare data infrastructure and consumer health engagement.
What kinds of roles does b.well Connected Health hire for?
The most active teams are cloud engineering, engineering (Non-Software), and health informatics. b.well Connected Health hires across software engineering, data engineering, site reliability, clinical informatics, platform implementation, and inside sales. The engineering roles concentrate on backend systems, healthcare interoperability standards, and cloud platform architecture. Most postings are manager level or above, with a mix of individual contributor and specialist positions across technical and go-to-market functions.
Are b.well Connected Health jobs remote or in-person?
Mostly remote. About 100% of b.well Connected Health's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Remote. Each b.well Connected Health listing shows its work location so you can filter before applying.
How do I apply to a job at b.well Connected Health?
Find a b.well Connected Health role on Migrate Mate, then follow the listing directly to b.well Connected Health's own application portal at icanbwell.com. b.well Connected Health manages its own recruiting process, including resume review, interviews, and offers. Migrate Mate does not collect or forward applications on the company's behalf.
What do b.well Connected Health jobs pay?
Listed salaries for b.well Connected Health roles on Migrate Mate range from about $110,000 to $220,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by b.well Connected Health and shown on each listing.
Does b.well Connected Health hire entry-level?
Most of b.well Connected Health's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual b.well Connected Health listings for stated experience requirements.
Where is b.well Connected Health hiring?
Most b.well Connected Health roles are based in Remote, and about 100% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.