Senior Software Engineer

Genentechs Research and Early Development (gRED) Early Clinical Development Informatics (ECDi) department is seeking an experienced Software Engineer to design develop and optimize software tools and platforms that accelerate clinical trial development and help bring life-changing medicines to patients faster.

The ideal candidate is a hands-on full-stack engineer with expertise in Python ReactJS AWS test automation and modern DevOps practices. This role involves building scalable production applications developing automated testing frameworks and collaborating with cross-functional teams in an Agile environment.

• Collaborate with engineers analysts and business stakeholders to translate complex requirements into scalable end-to-end software solutions.
  

• Design develop and maintain responsive web applications using JavaScript ReactJS and modern frontend technologies.
  

• Build and maintain backend services and APIs using Python frameworks such as FastAPI Flask or Django.
  

• Develop comprehensive automated testing suites for unit integration and end-to-end testing using tools such as Playwright PyTest and Jest.
  

• Build and manage CI/CD pipelines using GitHub Actions GitLab CI or similar tools to support automated testing and continuous deployment.
  

• Provision manage and monitor AWS cloud infrastructure using Docker Kubernetes Terraform or CloudFormation.
  

• Apply AI-assisted development tools to improve coding efficiency testing and technical documentation.
  

• Participate in the full software development lifecycle including system design coding code reviews architecture planning and production support.
  

• 5 years of software engineering experience building and supporting scalable production web applications.
  

• Strong backend development skills in Python with experience using FastAPI Flask or Django.
  

• Proficiency in JavaScript (ES6) and ReactJS for frontend application development.
  

• Experience with AWS cloud services and modern deployment practices.
  

• Hands-on experience with Docker CI/CD pipelines and infrastructure-as-code tools.
  

• Experience developing automated tests for frontend and backend applications using modern testing frameworks.
  

• Familiarity with AI-assisted development tools such as GitHub Copilot ChatGPT or Cursor.
  

• Strong analytical problem-solving collaboration and communication skills.
  

• Commitment to writing clean maintainable testable and reliable code.
  

• Experience building data-intensive applications that process and visualize complex datasets.
  

• Experience supporting production applications including monitoring incident response and infrastructure troubleshooting.
  

• Experience designing end-to-end automated test frameworks for complex web applications.
  

• Proficiency in SQL including complex queries and database performance optimization with PostgreSQL MySQL or similar databases.
  

• Knowledge of clinical development systems industry data standards and regulatory requirements such as 21 CFR Part 11 GxP HIPAA or GDPR.
  

• Experience working in an Agile software development environment.