Sr. Software Engineer, Clinical Software

Note: Domain- LIMS, biotech, genomics, or clinical laboratory experience

Summary:

We are seeking a Sr. Software Engineer to design, develop, and maintain our Laboratory Information Management Systems (LIMS). This role is a key contributor to our engineering team, taking ownership of feature development for both existing systems and new cloud-based platforms. You will work with senior engineers to tackle complex problems and deliver high-quality, scalable solutions that power our laboratory operations in a regulated environment.

Responsibilities:

• Design, develop, test, and maintain software systems and features supporting laboratory operations.
• Develop and optimize backend services and APIs using Python and/or Java.
• Implement solutions using a variety of database technologies, including relational and graph databases.
• Take ownership of deploying and maintaining services in our AWS cloud environment.
• Actively participate in code reviews, design discussions, and technical documentation to ensure quality and maintainability.
• Troubleshoot and resolve complex technical issues in development and production environments.
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions.

Qualifications:

• B.S. degree in Computer Science, Engineering, or a related technical field.
• 5 years of professional software development experience.
• Strong proficiency in at least one programming language such as Python or Java.
• Proven experience building and deploying applications on AWS.
• Solid experience with relational databases (e.g., PostgreSQL, MySQL) and developing REST APIs.
• Experience with version control systems (e.g., Github, Bitbucket) and CI/CD concepts.
• Excellent problem-solving skills and the ability to work independently on complex tasks.

Preferred:

• Experience with web frameworks like Flask or FastAPI.
• Familiarity with modern JavaScript frameworks (e.g., React, Angular, or Vue.js).
• Experience in the life sciences, healthcare, or another regulated industry.
• Familiarity with containerization technologies (e.g., Docker).
• Exposure to graph databases or NoSQL technologies.