Software Development Engineer

About the role

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 Software Engineer to join our Boulder-based team and help build the systems powering our privacy-first, data-driven platform.

You’ll work across backend services, data processing pipelines, and cloud infrastructure to build scalable systems that process, transform, and query large volumes of anonymized healthcare data. You’ll collaborate closely with senior engineers, data scientists, and product teams to turn complex requirements into reliable production software.

This is a hands-on engineering role with opportunities to develop expertise in distributed systems, cloud infrastructure, data engineering, and machine learning systems.

KEY RESPONSIBILITIES

- Build and maintain backend systems and APIs using Python.

- Develop distributed data-processing workflows using technologies such as Spark and AWS EMR.

- Build and maintain workflow pipelines using Apache Airflow.

- Integrate machine learning models into production engineering pipelines.

- Develop and operate containerized services using Docker and Kubernetes.

- Contribute to infrastructure-as-code and CI/CD systems.

- Write well-tested, maintainable production code.

- Troubleshoot application, data, and infrastructure issues across distributed systems.

- Help improve the reliability, scalability, security, and observability of the platform.

- Collaborate with engineering, data science, and product teams to design and deliver new capabilities.

QUALIFICATIONS

- Strong software development skills, particularly with Python.

- Experience building backend applications, services, or APIs.

- Familiarity with relational databases and SQL.

- Familiarity with cloud platforms and cloud-native architectures, ideally AWS.