BranchLab-posted 3 months ago
Full-time • Senior
Boulder, CO

BranchLab 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, SQL work, 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.
  • Work with large-scale datasets using advanced SQL for analytics, reporting, and data product features.
  • Architect distributed systems using AWS services like S3, Lambda, ECS, and Athena.
  • Build and optimize ETL pipelines and secure data-sharing workflows using AWS Clean Rooms.
  • Deploy containerized services with Docker and manage infrastructure-as-code.
  • Ensure system reliability, scalability, and observability in a production environment.
  • Strong backend development experience in Python.
  • Proficiency in writing SQL queries and working with large-scale datasets (Athena, Redshift, PostgreSQL, etc.).
  • Familiarity with cloud-native architectures and services (especially AWS: Lambda, SQS, S3, ECS, Athena, and the like).
  • Understanding of distributed systems and event-driven architectures.
  • Experience with containerization (Docker) and CI/CD pipelines.
  • A pragmatic problem-solving mindset with an eye for performance, security, and maintainability.
  • Experience with AWS Clean Rooms or similar secure data-sharing environments.
  • Background in data modeling, query optimization, and performance tuning.
  • Familiarity with real-time data processing or streaming architectures.
  • Comfort with infrastructure-as-code tools (Terraform, CDK, Jinja, etc.).
  • Exposure to healthcare, AdTech, or privacy-sensitive data systems.
  • Competitive salary + significant equity
  • Tackle complex engineering challenges in privacy-first healthcare advertising.
  • Work alongside top-tier engineers, data scientists, and privacy experts.
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