Senior Manager of Data Science Production Engineering, DevOps

This is an exciting opportunity to lead a DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), build upon the latest information and cloud technologies, create solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

Responsibilities

Lead a DevOps team to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems; Manage the DevOps team to achieve timely and efficient delivery of software products and systems with correct and robust functionality; Train and coach team members on new technologies, procedures, and guidelines/best practices; Create and maintain operational visibility (e.g., workload, productivity) of the DSPE DevOps team; Translate DSPE's business needs and project requirements into technical specifications and implementation plans; Create suitable system architecture and infrastructure design documents with DSPE leadership teams; Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization; Contribute to key development, testing, deployment, validation, maintenance, and update activities; Improve and enforce procedures for work efficiency, quality, and compliance; Lead and manage technical documentation creation and maintenance/update for all DSPE DevOps owned software tools and systems; Create training materials and contribute to training activities on DSPE DevOps owned software tools and systems; Engage proactively with engineering and operational stakeholders to align infrastructure roadmaps, resolve technical dependencies, and report platform performance metrics; Represent the DSPE DevOps team in stakeholder meetings

Requirements

Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field; Minimal 10 years of relevant industry experience for candidates with only a Bachelor's Degree; Minimal 8 years for candidates with a Master's Degree; Minimal 4 years for candidates with a Doctorate degree; Minimal 3 years of working experience in a highly regulated environment (CLIA and/or FDA compliant settings); Minimal 3 years of management experience leading a DevOps team or software development team; Demonstrable experience in designing, delivering, and maintaining/updating custom-developed software tools or systems for production environments, preferably in high-throughput settings; Demonstrable experience in creating software design specification documents, verification and validation documents, and user manuals; Excellent Python programming skills with substantial cloud application and/or automation system development experience; Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and substantial working experience in for-production database-based application development; Working knowledge in optimizing system architecture and individual components for performance, scalability, and/or reliability; Proficiency in tool/system performance evaluation methods and understanding of key factors such as RAM, Disk IO, Network IO impact on system/tool performance; Proficiency with AWS and substantial working experience in developing for-production software tools/systems using AWS services; Proficiency in SDLC and software development and testing methodologies; Proficient Linux command line skills and past Linux application development experience; Past experience and working knowledge in genomics and bioinformatics technologies; Good understanding and past working experience with genomics data such as FASTQ, BAM, VCF files; Proficiency in Git workflow and version control systems like GitHub and/or GitLab; Past experience in developing automation solutions; Good documentation practices and coding style; Strong verbal and written communication skills; Strong interpersonal skills; Strong integrity; Team player

Nice to have

Advanced degree (Master's or Doctorate); Infrastructure as Code (IaC) skills and experiences such as CloudFormation, Terraform, and/or Ansible

Benefits

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents; Free testing for employees and immediate families; Fertility care benefits; Pregnancy and baby bonding leave; 401k benefits; Commuter benefits; Employee referral program