Senior Software Development Engineer (Web)

The ideal candidate will have the following qualities:

• Enjoys working closely as a team, towards a common goal
• Is a self-starter, comfortable in a growth-phase company
• Is curious and enjoys learning new tools and technologies relevant to software engineering and testing
• Passionate about developing clean, maintainable code with an eye towards excellence, and considers both the short-term and long-term impact

 

Role and Responsibilities

• Create test cases from software requirements for analytical pipeline and cloud infrastructure
• Develop automated test cases for a custom Python test execution framework
• Ensure that software builds, and automated tests are integrated and execute reliably in our CI/CD environments
• Create and curate, in silico, reference data sets that are representative of expected input data
• Collaborate with software development, assay development, and computational biology teams
• Document test cases and results, in the form of FDA auditable test plans, protocols, and reports for quality control systems, and software medical device PMA ?ling(s)

Required Qualifications

• B.S. in science or engineering discipline
• Knowledge of Bioinformatics tools (samtools, Illumina tools, etc) and experience with next generation sequencing
• Proficient with Python and Python testing frameworks (e.g. unittest, pytest, etc.)
• Familiarity with AWS or other cloud services (e.g. S3, EC2, ECR, Lambda, Batch, Step Functions, etc.)
• Familiarity with Docker (e.g. building images, manipulating container execution, etc.)
• Experience developing and contributing to an iterative, team developed code base, and dataset repository
• Demonstrated ability to understand and analyze complex problems and break them into small solvable pieces

 

Preferred Qualifications

• M.S. or Ph.D. in science or engineering discipline
• Prior medical device software experience
• An understanding of cancer biology
• Experience developing automated tests using or executing on Amazon Web Services (AWS) and Docker containers
• Experience working with a production DevOps team
• Familiarity with Kubernetes