
Software Development Engineer at BranchLab (Boulder, CO)
BranchLab· Boulder, CO·
Role details
Job description
Employee Location: Boulder, CO, relocation stipend available Reporting To: Chief Technology Officer Job Type: Full-time, Hybrid in office Boulder, CO Work Authorization: Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship
ABOUT BRANCHLAB
BranchLab is transforming healthcare commercialization with Pathwai™, the industry’s first Semantic Activation Platform. Our AI-native technology helps leading healthcare organizations and their agencies make smarter commercialization decisions and connect patients, providers, and caregivers to life-improving therapies and resources.
Built for the evolving privacy landscape, BranchLab improves commercialization performance without relying on individual-level health information. By modernizing the industry’s technical infrastructure, we help organizations operate more efficiently and responsibly while improving how healthcare audiences are understood, reached, and engaged.
BranchLab is helping build a more intelligent, efficient, and responsible model for healthcare commercialization.
THE OPPORTUNITY
We’re looking for a backend focused Sr. Software Engineer to join our Boulder-based team and help build the infrastructure powering our privacy first, data-driven platform. This role blends distributed systems engineering and cloud-native development in a high-impact environment. You’ll design scalable systems to process, transform, and query large volumes of anonymized healthcare data. You’ll also design systems to drive insights and power downstream applications.
KEY RESPONSIBILITIES
Design, build, and maintain backend systems and APIs using Python.
- Architect distributed systems using AWS services like EKS and EMR.
- Build and execute complex queries on large datasets using Spark.
- Construct and optimize workflow pipelines using Apache Airflow.
- Deploy ML models in engineering pipelines.
- Manage containerized services with Docker and Kubernetes, and manage infrastructure-as-code.
- Ensure system reliability, scalability, and observability in a production environment.
QUALIFICATIONS
- Strong backend development experience in Python.
- Familiarity with cloud-native architectures and services (ideally AWS).
- Understanding of distributed systems and event-driven architectures.
- Experience with containerization (Docker) and CI/CD pipelines.
- Proficiency in writing SQL queries and working with large-scale datasets (Spark, Athena, Redshift, PostgreSQL, etc.).
- A pragmatic problem-solving mindset with an eye for performance, security, and maintainability.
NICE-TO-HAVES
- Team-lead or management experience.
- Familiarity with real-time data processing or streaming architectures.
- Experience with building data lakes, Snowflake, DataBricks.
- Comfort with infrastructure-as-code tools (CloudFormation, CDK).
- Background in data modeling, query optimization, and performance tuning.
- Exposure to Healthcare, AdTech, or privacy-sensitive data systems.
WHY JOIN BRANCHLAB?
- Competitive salary (145-195k) + significant equity
- Tackle complex engineering challenges in privacy-first healthcare advertising.
- Work alongside top-tier engineers and data scientists.
Why work at BranchLab
- High-growth startup: Founded in 2024 and already at Series A with $35M total funding, backed by top-tier healthcare and AI investors including McKesson Ventures and Sanofi Ventures.
- Meaningful mission: Work on AI that directly impacts how patients learn about and access life-improving therapies — the company explicitly states their work is grounded in “the belief that more informed, compliant, and predictive decision-making can meaningfully improve how healthcare systems serve patients.”
- Cutting-edge AI work: Building novel transformer-based architectures for regulated environments — a challenging technical problem at the intersection of AI, healthcare, and privacy.
- Flexible locations: Offices in both New York, NY and Boulder, CO — roles are listed as hybrid/on-site in those locations (specific policy per role).
- Engineering & data science focus: Current open roles include Software Development Engineer, Data Scientist, Senior Data Scientist, Manager of Data Science, and Product Designer — indicating a strong technical core.
- Early-stage culture: Opportunity to shape product, infrastructure, and culture at a formative stage; the company has a small team (LinkedIn shows ~2-10 employees range) offering high ownership and impact.
- Leadership credibility: CEO Josh Walsh and CTO Dan Parkes bring deep domain expertise; the team includes VP of Data Science & AI Kat Drake.