Senior Manager of Data Science Production Engineering, DevOps

๐Ÿข Natera ยท all Natera jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 151,000 - 188,700 / annual
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท DevOps-Leadership,Cloud-Infrastructure-Engineering,Data-Science-Production-Engineering,Platform-Engineering,Senior-Engineering-Management,Senior-Data-Science-Manager,Senior-Data-Science-Engineering,Senior-Manager-Data-Science,Senior-Data-Engineering-Manager,Senior-Data-Operations-Engineer,Senior-DevOps-Engineer-AI-ML,Senior-Staff-DevOps-Engineer,Senior-AI-Data-Operations-Manager,DataOps-Engineer
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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.
PRIMARY RESPONSIBILITIES:
Leadership

- 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.

Technical

- 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.

Quality, Compliance, and Documentation

- 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.

Cross-Functional

- 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.

QUALIFICATIONS:

- 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.

KNOWLEDGE, SKILLS, AND ABILITIES:

- 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

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