Senior Python Engineer, Series B Startup
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Role details
Tech stack
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Job description
Youâll build APIs, distributed systems, integrations, and data pipelines capable of processing massive amounts of healthcare data while maintaining reliability, performance, and scalability., Youâll collaborate closely with machine learning engineers and data scientists to bring intelligent products into production., * 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
Requirements
- 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.
Benefits & conditions
- You like working closely with machine learning and data science teams.
- Youâre 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 Isnât the Right Fit IfâŚ
- You prefer highly repetitive feature work over systems design.
- Youâre 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: youâll help build AI-powered infrastructure that tackles some of healthcareâs most complex operational problems while working alongside an exceptional technical team.
If reading this made you think, âThis sounds like exactly the kind of engineering problem I enjoy solving,â weâd love to connect.
Compensation Range: $180K - $200K
About the company
About Bedrock Talent
At Bedrock Talent, weâre intentional about the companies we represent.
We donât partner with every startup that comes our way. We work with founders weâd 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., 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, theyâre 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., Weâre looking for a Senior Python Engineer to help build the systems that power the companyâs next generation of AI-driven products.
Youâll 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.
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