About the Job

This position is a member of the Pipeline Engineering sub-team of the Computational Biology, Engineering group. This team is responsible for developing components of, and programmatic interfaces to, the genomics platform and analysis pipeline codebase. We build backend systems that power global production operations and research on cloud deployed systems. Responsibilities include application architecture, packaging & dependency management, computational scalability, REST services, messaging, database queries and relationship modeling. The Senior Software Engineer is a technical resource and prolific contributor of high quality code, that is able to decompose complex problems into potential solutions achieved on time. This role leads by example to create a culture of software excellence and adherence to engineering best practices, makes well-reasoned decisions and trade-offs and, as an experienced practitioner, provides guidance to less experienced colleagues.

Key Responsibilities

• Lead assigned team-wide initiatives, such as:
  • Investigating design approaches;
  • Prototyping new technologies; and,
  • Evaluating technical feasibility.
• Develop FMI’s software; in particular, the CompBio Genomics Platform.
• Leverage technical expertise to support a culture of peer design, code reviews, and knowledge sharing sessions
• Establish clear technical roadmaps to ensure the maintainability and quality of the product’s code base while reducing technical debt.
• Write, test, and refactor high quality software and code that is reusable, testable, efficient, clean and well-commented.
• Maintain efforts for product or platform to be cloud-native, resilient, secure and scalable.
• Coach, guide, mentor, and teach team members with less experience.
• Drive efforts for assigned team’s adoption of established best engineering practices.
• Identify, design, and implement internal process improvements including, but not limited to, automating manual processes, optimizing product delivery, and redesigning infrastructure for greater scalability.
• Debug highly complex problems escalated by other team members.
• Communicate with applicable stakeholders to obtain information on requirements.
• Provide software engineering expertise and support per business needs.
• Deliver contributions in an Agile approach and leveraging Agile methodology.
• Other duties as assigned.

Qualifications

Basic Qualifications

• Bachelor’s Degree and 6+ years of software engineering experience; or
• Master’s Degree and 4+ years of software engineering experience, or
• 10+ years of software engineering experience in lieu of a degree
• Proficiency in Python

Preferred Qualifications

• Advanced Degree in Computer Science, Software Engineering, Programming, Management Information Systems, or a related field
• Highly proficient in Python application development and package management
• 8+ years of progressively responsible professional software engineering experience
• 3+ years of professional experience with the following:
  • Building scalable backend services using Python: Flask, Gunicorn, SQLAlchemy
  • Python source and dependency package management
  • Leading the architecture and design of new and/or current systems
  • Taking a lead role in building complex software systems that have been successfully delivered to customers
  • Developing, extended and orchestratinc containerized software stacks: Docker, Kubernetes, etc.
  • Amazon Web Services (AWS) or similar cloud platform
  • Distributed event messaging systems such as AMQP, Kafka, AWS SNS/SQS, Pulsar, or Kinesis
  • Relational and NoSQL database technologies
  • Java application development: Maven, Spring, Hibernate
  • Object Oriented Programming (OOP) and Functional Programming (FP) paradigms
  • Distributed systems and both asynchronous and concurrent programming concepts
• Experience building and delivering Continuous Integration/Continuous Deployment (CI/CD) solutions
• History of mentoring less experienced software engineers
• Experience in working with product management, other technical teams, users, and senior management to collect requirements, describe software product features, technical designs, and product strategy
• Prior life science industry experience, particularly in the genomics field
• Demonstrated history of successfully managing multiple concurrent initiatives and maintaining one’s own workflow.
• Strong interpersonal skills that include excellent skill in collaboration and problem solving with other departments and colleagues
• Understanding of CCPA, HITRUST, HIPAA, other regulations pertinent to data security, and the importance of patient data privacy
• Commitment to reflect FMI’s values: Passion, Patients, Innovation, and Collaboration.