Plays a critical role within the Bioinformatics & Data Science Development team with a strong background in cloud engineering and application development.
Design, develop, and maintain cloud-based applications and services using Python and modern frameworks.
Utilize AWS services to build, deploy, and manage scalable applications and data pipelines in the cloud.
Partner with bioinformatics scientists/computational biologists to productionize research workflows.
Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
Ensure code quality through unit testing, integration testing, and adherence to best practices.
Troubleshoot and resolve complex technical issues and bugs.
Write clean, maintainable, and efficient code, and maintain documentation for code, architecture, and operational procedures.
Implement and optimize CI/CD pipelines for automated testing and deployment.
Participate in code reviews and provide constructive feedback to peers.
Stay current with emerging technologies and industry trends in cloud computing and software development to ensure our solutions remain current and competitive.
Operate within CAP/CLIA
and IVD-regulated environments.

Bachelor’s degree in Computer Science, Engineering, or a related field.
A minimum of 5 years of professional experience in software development.
Strong proficiency in Python and familiarity with its ecosystem.
Experience building and operating data processing pipelines in a cloud environment.
Proven experience delivering solutions making use of AWS services like EC2, ECS, AWS Batch, AWS Step Functions.
Understanding of software development best practices, including design patterns, coding standards, version control, testing and documentation.
Familiarity with containerization technologies (e.g. Docker, Kubernetes), RESTful API and microservices architecture.
Experience with Infrastructure as Code (IaC) using AWS CDK, CloudFormation or Terraform.
Experience with CI/CD tools such as AWS CodePipeline and Bitbucket Pipelines.
Knowledge of SQL and NoSQL databases, including data modeling concepts.
Excellent problem-solving skills and the ability to work independently or as part of a team.

Software Engineer II

Key skills