Sr. Software Engineer

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

Branch Lab is an AI-native technology company setting a new standard in privacy-first, outcome-based advertising for healthcare. Our Pathwai™ platform enables pharmaceutical brands, agencies, and media partners to design, activate, and measure audiences defined by real-world outcomes such as prescriptions, diagnoses, or healthcare visits. By analyzing millions of patient journeys with advanced neural network modeling, Pathwai™ predicts the next likely step in care using non-health data, allowing advertisers to engage patients and caregivers earlier, while protecting consumer privacy.

All data is anonymized and aggregated, ensuring compliance across all 50 states. Our mission is to help healthcare brands achieve measurable performance while connecting more people with the care they need, when it matters most.

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.

Design, build, and maintain backend systems and APIs using Python.

• Architect distributed systems using AWS services like EKS, EMR, S3 and Athena.
• Deploy ML models in engineering pipelines.
• Build and optimize ETL pipelines and secure data-sharing workflows using Spark.
• Deploy and manage containerized services with Docker and Kubernetes, and manage infrastructure-as-code.
• Work with large-scale datasets using advanced SQL for analytics, reporting, and data product features.
• Ensure system reliability, scalability, and observability in a production environment.

• 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 (Athena, Redshift, Postgre
  
  SQL, etc.).
• A pragmatic problem-solving mindset with an eye for performance, security, and maintainability.

• Familiarity with real-time data processing or streaming architectures.
• Comfort with infrastructure-as-code tools (Cloud Formation, CDK, etc.).
• Background in data modeling, query optimization, and performance tuning.
• Exposure to Healthcare, AdTech, or privacy-sensitive data systems.

• Competitive salary (145-195k) + significant equity
• Tackle complex engineering challenges in privacy-first healthcare advertising.
• Work alongside top-tier engineers and data scientists.