Senior Manager, Data Science Production Engineering, DevOps

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee a DevOps team within the Data Science Production Engineering sector.

• Design, test, implement, maintain, and enhance data, cloud, automation, and analytics platforms and systems.

• Lead the DevOps team to ensure timely delivery of software products and systems with strong functionality.

• Mentor and train team members on technologies, procedures, guidelines, and best practices.

• Ensure operational visibility into team workload and productivity.

• Convert business needs and project requirements into technical specifications and implementation strategies.

• Collaborate with DSPE leadership to create system architecture and infrastructure design documents.

• Optimize and manage infrastructure performance, including network I/O, disk I/O, memory allocation, and compute utilization.

• Participate in development, testing, deployment, validation, maintenance, and update processes.

• Enhance and enforce procedures for work efficiency, quality, and compliance.

• Lead the development and upkeep of technical documentation, including design specifications, V&V protocols and reports, deployment records, maintenance logs, and user guides.

• Develop training materials and assist in training efforts.

• Collaborate with engineering and operational stakeholders to coordinate infrastructure roadmaps, address dependencies, and communicate platform performance metrics.

• Represent the DSPE DevOps team in meetings with stakeholders.

• Construct reliable, efficient, high-performance data, cloud, and automation systems that support laboratory operations and genetic counselor/lab director teams.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, or related field is required; advanced degrees are preferred.

• 10 years of relevant industry experience with a Bachelor's degree, 8 years with a Master's degree, or 4 years with a Doctorate degree.

• 3 years of experience in a highly regulated environment, such as CLIA and/or FDA-compliant settings.

• 3 years of managerial experience leading a DevOps or software development team.

• Experience in designing, delivering, and maintaining/updating custom-developed software tools or systems for production environments, ideally in high-throughput settings.

• Familiarity with creating software design specifications, verification and validation documents, and user manuals.

• Strong Python programming skills with significant experience in cloud application and/or automation system development.

• Proficient with RDBMS systems such as PostgreSQL and/or MySQL and experience in production database-based application development.

• Knowledge of optimizing system architecture and components for performance, scalability, and/or reliability.

• Proficiency in evaluating tool/system performance and understanding the impacts of RAM, disk I/O, and network I/O.

• Proficient with AWS and experienced in developing production software tools/systems using AWS services.

• Familiarity with SDLC and software development/testing methodologies.

• Proficient in Linux command-line skills and experienced in Linux application development.

• Knowledge of genomics and bioinformatics technologies.

• Experience with genomics data formats including FASTQ, BAM, and VCF files.

• Proficient in Git workflow and version control systems such as GitHub and/or GitLab.

• Experience in developing automation solutions.

• Strong documentation practices and coding standards.

• Excellent verbal and written communication abilities.

• Strong interpersonal skills.

• High integrity and teamwork orientation.

• Skills in Infrastructure as Code (IaC) with CloudFormation, Terraform, and/or Ansible are preferred but not mandatory.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans for eligible employees and their dependents.

• Complimentary testing for employees and their immediate families.

• Fertility care benefits.

• Leave for pregnancy and bonding with a newborn.

• 401(k) benefits.

• Commuter benefits.

• Employee referral program.