Senior Manager of Data Science Production Engineering, DevOps

Natera

15h•$151,000 - $188,700•Remote

About The Position

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.

Requirements

Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred.
Minimal 10 years of relevant industry experience for candidates with only a Bachelor's Degree. Minimal 8 years of relevant industry experience for candidates with a Master's Degree. Minimal 4 years of relevant industry experience for candidates with a Doctorate degree.
Minimal 3 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
Minimal 3 years of management experience leading a DevOps team, or a software development team.
Demonstrable experience in designing, delivering, and maintaining/updating custom-developed software tools or systems for production environments, preferable in high-throughput settings (e.g., heavy traffic and/or high computation load).
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 in-depth understanding of key factors, such as RAM, Disk IO, Network IO's impact on system/tool's 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 Haves

IaC skills and experiences, such as CloudFormation, Terraform, and/or Ansible.

Responsibilities

Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems
Manage the DevOps team, to achieve the 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, etc.) of the DSPE DevOps team.
Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained.
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 the technical documentation's creation and maintenance/update for all DSPE DevOps owned software tools and systems, for example, design specifications, software verification and validation (V&V) protocols and reports, deployment/update/maintenance records, user guides, etc.
Create training materials, and contribute to training activities, on DSPE DevOps owned software tools and systems.
Engage proactively and directly 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.