Software Engineer - HealthTech - Series B; Hybrid

We’re working with a venture-backed healthcare technology company solving complex problems at the intersection of data, software engineering, and applied machine learning. The platform is already in real-world clinical use, and the engineering team is now scaling core systems to support growing adoption, data volumes, and product scope.

This is a senior individual contributor role for someone who wants to own backend architecture and operate with real autonomy in a high-impact, technically rigorous environment.

As a Staff Software Engineer
, you’ll take ownership of backend systems that underpin data-heavy, production-grade products used in real healthcare settings. You won’t be handed rigid specifications, instead, you’ll help define the technical direction, make architectural decisions, and set engineering standards.

You’ll work closely with software, data, and applied ML teams to ensure systems are scalable, reliable, and secure from day one.

• Design, build, and maintain scalable backend services and APIs
• Own architecture decisions for distributed, event-driven systems
• Partner with data teams on data ingestion, transformation, and analytics pipelines
• Support production deployment of ML-backed systems and inference workflows
• Build and maintain third-party and enterprise integrations in regulated environments
• Improve reliability, observability, and CI/CD practices across the platform
• Set the bar for engineering quality and mentor senior engineers

• 7+ years of professional software engineering experience
• Expert-level Python for backend services and data processing
• Strong experience with distributed systems, microservices, and system design
• Solid database experience (SQL + No
  
  SQL) with performance tuning
• Strong testing, deployment, and monitoring practices
• Comfortable working in environments with security and compliance constraints

• Experience in healthcare, fintech, or other regulated industries
• Exposure to data-intensive or ML-enabled products
• Experience integrating with external enterprise systems
• Background scaling platforms from early-stage to production use

• High ownership, high trust engineering culture
• Complex, meaningful technical problems
• Real-world impact from day one
• Small, senior team with strong technical standards

If you’re a backend engineer who enjoys owning systems end to end and wants to work on problems that actually matter outside of tech, this is worth a conversation.