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BranchLab

Software Development Engineer

Boulder, Colorado, United States

Location
Boulder, Colorado, United States
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$110K – $150K a year
Posted
13 months ago

Pay and the market here

The top of this role’s range, $150K a year, is 14% below the median of $175K for engineering jobs in Boulder (middle half $150K – $203K, 72 jobs that state pay).

73 engineering jobs open in Boulder: 4% remote, 25 posted in the last 30 days.

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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.
  • Experience with containerization and modern software development practices such as Docker, Git, automated testing, and CI/CD.
  • Understanding of distributed systems and data-processing concepts.
  • Ability to debug complex technical problems and learn unfamiliar technologies quickly.
  • A pragmatic problem-solving mindset with an emphasis on performance, security, maintainability, and simplicity.

NICE-TO-HAVES

  • Experience with Spark, Airflow, Athena, Redshift, PostgreSQL, or similar technologies.
  • Experience working with Kubernetes.
  • Familiarity with infrastructure-as-code tools such as CloudFormation or CDK.
  • Experience with large-scale datasets or data-processing systems.
  • Exposure to machine learning engineering or model deployment.
  • Experience with data modeling, query optimization, or performance tuning.
  • Familiarity with proprietary data lakes, Snowflake, or Databricks.
  • Exposure to Healthcare, AdTech, or privacy-sensitive data systems.

WHY JOIN BRANCHLAB?

  • Competitive salary (110-150k) + significant equity
  • Tackle complex engineering challenges in privacy-first healthcare advertising.
  • Work alongside top-tier engineers and data scientists.

Equal Employment Opportunity

BranchLab is an equal opportunity employer. We are committed to providing a workplace free from discrimination, harassment, and retaliation. Employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, creed, national origin, ancestry, citizenship or immigration status, sex, pregnancy or related medical conditions, sexual orientation, gender identity or expression, age, disability, genetic information, marital, familial or caregiver status, military or veteran status, or any other characteristic protected by applicable law.

Applicants and employees have the right to request a reasonable accommodation for a disability, pregnancy, childbirth or a related medical condition, or sincerely held religious belief or practice. To request an accommodation during the application or interview process, please contact people@branchlab.com.

BranchLab prohibits retaliation against anyone who requests an accommodation, reports discrimination or harassment, participates in an investigation, or otherwise exercises rights protected by law.

Source

Posted by BranchLab on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:49 UTC; the original is the reference.

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