About the Job

The Software Engineer II, Computational Biology (WebApps Team) primarily develops web applications and rest endpoints that organize and display data from a highly concurrent, data-intensive pipeline infrastructure. This position completes design, development, unit testing, code reviews and technical documentation.

Code created in this position is to be reusable, testable, efficient, clean and well commented. This full stack engineer fully understands the web applications and services space, makes well-reasoned decisions, well-reasoned trade-offs, and is able to work in other parts of the codebase with guidance.

Key Responsibilities

• Help define and participate in software development processes that leverages best practice and supports continuous product delivery.
• Create custom programs and applications as designated by business need.
• Write, test, and refactor code that is reusable, testable, efficient, well architected, and well commented.
• Define and document architecture and formal technical specifications based upon information provided.
• Maintain efforts for product or platform to be resilient, cloud-native, secure, and scalable.
• Collaborate with team members to deliver complex production-ready projects.
• Ensure code adheres to patterns and any established standards.
• Participate in regular peer design and code reviews.
• Conform to coding conventions and all aspects of the software development life cycle.
• Deliver contributions in an Agile approach and leveraging Agile methodology.
• Other duties as assigned.

Qualifications:

Basic Qualifications:

• Bachelor’s Degree
• 2+ years of Software Engineering experience

Preferred Qualifications:

• Proficiency in Java and JavaScript
• Java Spring, Hibernate, Maven, or similar frameworks
• React, or similar UI framework
• AWS or similar cloud computing platform
• Unit and Integration testing
• Git, or another version control system
• Relational databases, database design, object-relational mapping (ORM)
• SQL and query tuning
• Knowledgeable about Unix or Unix-like operating systems
• Enterprise distributed messaging systems
• Genomics domain experience
• Familiarity with continuous integration, continuous deployment, and Agile concepts
• Understanding of HIPAA, the importance of patient data privacy, and of regulated software engineering environments
• Commitment to reflect FMI's values of passion, patients, innovation, and collaboration

#LI-Hybrid