Senior Backend Engineer
- Role
- Backend
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior backend engineer with 5+ years building production software and scalable backend/distributed systems. Must be U.S.-remote and comfortable working on healthcare AI products, data-intensive systems, APIs, integrations, and data pipelines.
SENIOR BACKEND ENGINEER
Location: Remote (U.S.)
ABOUT BEDROCK TALENT
At Bedrock Talent, we are selective in the organizations we partner with, focusing on visionary founders, meaningful missions, and teams dedicated to building enduring companies. The businesses we represent are solving significant problems and are led by individuals committed to creating environments where exceptional people can thrive. We only work with clients we ourselves would consider joining.
This is one of those opportunities.
ABOUT THE COMPANY
Our client is a rapidly growing healthcare AI startup developing technology that empowers healthcare providers to navigate the complexities of reimbursement. By leveraging machine learning, large-scale healthcare data, and modern AI, they create products that turn complex payer behavior into actionable insights—reducing administrative burden, improving financial performance, and allowing providers to spend more time on patient care.
The company boasts a stellar technical team spanning engineering, machine learning, and data science, building products at the intersection of healthcare, AI, and large-scale distributed systems.
THE OPPORTUNITY
We are seeking a Senior Backend Engineer to help build the systems behind the company's next generation of AI-driven products.
You will work closely with engineers, machine learning researchers, and data scientists to translate sophisticated models and healthcare data into scalable, production-ready software relied upon daily by customers. This is a perfect opportunity if you enjoy backend system architecture, tackling complex technical problems, and building products that drive real-world impact.
KEY REASONS TO JOIN
Challenging Technical Problems:
- This is a highly technical backend engineering role.
- You will design APIs, distributed systems, integrations, and data pipelines to process massive healthcare data while maintaining reliability and performance.
AI at the Core:
- You will help bring modern AI and machine learning into production as core product functionality, working side-by-side with ML engineers and data scientists.
Impactful Work:
- Your contributions will help healthcare providers operate more efficiently in a complex reimbursement landscape.
- The challenges are technically demanding, commercially significant, and have tangible impacts on patient care.
Exceptional Team:
- You'll join experienced engineers, data scientists, and technical leaders who care deeply about craftsmanship, collaboration, and solving real customer problems.
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 ML engineers to productionize AI-powered features
- Design high-throughput, low-latency distributed systems
- Collaborate across engineering, product, and data science teams to deliver customer-facing solutions
TECH STACK
- Python, Java, or Scala
- SQL
- Spark
- Airflow
- Modern cloud infrastructure
- Machine Learning & Generative AI
WHAT WE'RE LOOKING FOR
- 5+ years of professional software engineering experience
- Proven ability to write clean, maintainable, and well-tested production code
- Passion for designing scalable backend systems
- Experience in collaborative, cross-functional environments
- Curiosity and pragmatism in solving difficult technical problems
- Background in data-intensive applications or distributed systems
Bonus Points:
- Experience building production-ready machine learning products
- Familiarity with large-scale data pipelines
- Experience with high-volume APIs
- Background working with healthcare data or in regulated environments
THIS ROLE IS A GREAT FIT IF...
- You enjoy backend engineering more than frontend development
- You like collaborating closely with machine learning and data science teams
- You are motivated by technical challenges with direct real-world impact
- You are excited about building AI-powered products for enterprise healthcare customers
THIS ROLE MIGHT NOT BE RIGHT IF...
- You prefer highly repetitive feature work over systems design
- You are looking for a primarily frontend-focused role
- You prefer environments with large, process-heavy organizations over fast-moving startups
WHY THIS ROLE?
The most rewarding backend engineering positions combine challenging technical work with meaningful impact. Here, you will help build AI-powered infrastructure solving some of healthcare’s toughest operational challenges, alongside a world-class technical team.
If you read this and thought, “These are the kinds of engineering problems I want to solve,” we’d love to hear from you.
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 ML engineers to productionize AI-powered features
- Design high-throughput, low-latency distributed systems
- Collaborate across engineering, product, and data science teams to deliver customer-facing solutions
- Help bring modern AI and machine learning into production as core product functionality
- Design APIs, distributed systems, integrations, and data pipelines to process massive healthcare data while maintaining reliability and performance
What they require
- 5+ years of professional software engineering experience
- Proven ability to write clean, maintainable, and well-tested production code
- Passion for designing scalable backend systems
- Experience in collaborative, cross-functional environments
- Curiosity and pragmatism in solving difficult technical problems
- Background in data-intensive applications or distributed systems
- Enjoy backend engineering more than frontend development
- Like collaborating closely with machine learning and data science teams
- Motivated by technical challenges with direct real-world impact
- Excited about building AI-powered products for enterprise healthcare customers
- Preferred: Experience building production-ready machine learning products
- Preferred: Familiarity with large-scale data pipelines
- Preferred: Experience with high-volume APIs
- Preferred: Background working with healthcare data or in regulated environments
Benefits
- Offers equity
- Challenging technical backend engineering problems
- Opportunity to work on AI and machine learning as core product functionality
- Work with ML engineers and data scientists
- Contributions help healthcare providers operate more efficiently
- Technically demanding work with tangible impact on patient care
- Join experienced engineers, data scientists, and technical leaders focused on craftsmanship, collaboration, and customer 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.