Staff Backend Engineer
- Role
- Backend
- Experience
- Staff
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Staff backend engineer with 5+ years of professional software engineering experience. Needs backend systems, APIs, distributed systems, data pipelines, SQL/Spark/Airflow/cloud, and production code experience. Remote U.S. healthcare AI startup role.
Core skills
Required skills
STAFF BACKEND ENGINEER
Remote (U.S.)
ABOUT BEDROCK TALENT
At Bedrock Talent, we're intentional about the companies we represent.
We don't partner with every startup that comes our way. We work with founders we'd be excited to work for ourselves, companies solving meaningful problems, and teams we genuinely believe have the potential to build category-defining businesses.
This is one of those companies.
ABOUT THE COMPANY
Our client is a fast-growing healthcare AI startup building technology that helps healthcare providers navigate an increasingly complex reimbursement landscape.
Using machine learning, large-scale healthcare data, and modern AI, they're creating products that transform complex payer behavior into actionable insights—helping providers reduce administrative burden, improve financial performance, and ultimately spend more time focused on patient care.
The company has assembled an exceptional technical team spanning engineering, machine learning, and data science, and is building products at the intersection of healthcare, AI, and large-scale distributed systems.
THE OPPORTUNITY
We're looking for a Staff Backend Engineer to help build the systems that power the company's next generation of AI-driven products.
You'll work closely with engineers, machine learning researchers, and data scientists to translate sophisticated models and healthcare data into scalable, production-ready software that customers rely on every day.
This is an ideal opportunity for someone who enjoys building backend systems, solving complex technical problems, and working on products with real-world impact.
BEFORE YOU APPLY
Rather than bury the important details in a long job description, here are the things that usually determine whether someone gets excited about this opportunity—or realizes it probably isn't the right fit.
YOU'LL SOLVE DIFFICULT TECHNICAL PROBLEMS
This is a highly technical backend engineering role.
You'll build APIs, distributed systems, integrations, and data pipelines capable of processing massive amounts of healthcare data while maintaining reliability, performance, and scalability.
AI IS CORE TO THE PRODUCT
You'll help build production systems that leverage modern AI and machine learning—not as experiments, but as core product functionality.
You'll collaborate closely with machine learning engineers and data scientists to bring intelligent products into production.
WORK THAT MATTERS
Every improvement you make helps healthcare providers operate more efficiently in an increasingly complicated reimbursement environment.
The problems are technically challenging, commercially important, and have meaningful downstream impact on patient care.
EXCEPTIONAL TEAM
You'll work alongside an experienced group of engineers, data scientists, and technical leaders who care deeply about craftsmanship, collaboration, and building products that solve real customer problems.
That's why Bedrock Talent chose to partner with them.
WHAT YOU'LL DO
- Design and build scalable backend services and APIs.
- Develop integrations with healthcare and financial systems.
- Build reliable, observable data ingestion and processing pipelines.
- Partner with machine learning engineers to productionize AI-powered features.
- Design high-throughput, low-latency distributed systems.
- Collaborate across engineering, product, and data science to deliver customer-facing solutions.
TECH STACK
- Python, Java, or Scala
- SQL
- Spark
- Airflow
- Modern cloud infrastructure
- Machine Learning & Generative AI
WE'RE LOOKING FOR SOMEONE WHO...
- Has 5+ years of professional software engineering experience.
- Writes clean, maintainable, and well-tested production code.
- Enjoys designing scalable backend systems.
- Thrives in collaborative, cross-functional environments.
- Is curious, pragmatic, and enjoys solving difficult technical problems.
- Has experience with data-intensive applications or distributed systems.
Bonus Points
- Experience building machine learning products in production.
- Experience with large-scale data pipelines.
- Experience building high-volume APIs.
- Experience working with healthcare data or regulated environments.
THIS ROLE IS PROBABLY A GREAT FIT IF...
- You enjoy backend engineering more than frontend development.
- You like working closely with machine learning and data science teams.
- You're energized by technically challenging problems with real-world impact.
- You want to help build AI-powered products used by enterprise healthcare customers.
THIS ROLE PROBABLY ISN'T THE RIGHT FIT IF...
- You prefer highly repetitive feature work over systems design.
- You're looking for a role focused primarily on frontend engineering.
- You enjoy large, process-heavy organizations more than fast-moving startup environments.
WHY THIS ROLE?
The most exciting backend engineering roles combine meaningful technical challenges with meaningful impact.
This opportunity offers both: you'll help build AI-powered infrastructure that tackles some of healthcare's most complex operational problems while working alongside an exceptional technical team.
If reading this made you think, "This sounds like exactly the kind of engineering problem I enjoy solving," we'd love to connect.
What you'll do
- Design and build scalable backend services and APIs.
- Develop integrations with healthcare and financial systems.
- Build reliable, observable data ingestion and processing pipelines.
- Partner with machine learning engineers to productionize AI-powered features.
- Design high-throughput, low-latency distributed systems.
- Collaborate across engineering, product, and data science to deliver customer-facing solutions.
- Build APIs, distributed systems, integrations, and data pipelines capable of processing massive amounts of healthcare data while maintaining reliability, performance, and scalability.
- Help build production systems that leverage modern AI and machine learning as core product functionality.
- Collaborate closely with machine learning engineers and data scientists to bring intelligent products into production.
What they require
- 5+ years of professional software engineering experience.
- Writes clean, maintainable, and well-tested production code.
- Enjoys designing scalable backend systems.
- Thrives in collaborative, cross-functional environments.
- Is curious, pragmatic, and enjoys solving difficult technical problems.
- Has experience with data-intensive applications or distributed systems.
- Enjoys backend engineering more than frontend development.
- Likes working closely with machine learning and data science teams.
- Energized by technically challenging problems with real-world impact.
- Wants to help build AI-powered products used by enterprise healthcare customers.
- Prefers systems design over highly repetitive feature work.
- Not looking for a role focused primarily on frontend engineering.
- Comfortable in fast-moving startup environments rather than large, process-heavy organizations.
- Preferred: Experience building machine learning products in production.
- Preferred: Experience with large-scale data pipelines.
- Preferred: Experience building high-volume APIs.
- Preferred: Experience working with healthcare data or regulated environments.
Benefits
- Offers equity.
- Work on products with real-world impact.
- Work alongside an experienced group of engineers, data scientists, and technical leaders.
- Help build AI-powered infrastructure tackling healthcare operational problems.
Bedrock Talent represents selected startups. The client is an early-stage healthcare AI company building an AI-native platform to generate actionable insights from complex health data.