> Markdown version of [/jobs/ext/4011765-senior-bioinformatics-genomics-data-system-engineer](https://www.wearedevelopers.com/jobs/ext/4011765-senior-bioinformatics-genomics-data-system-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Bioinformatics & Genomics Data System Engineer - **Company:** Natera - **Location:** San Carlos, CA, United States - **Experience:** Expert - **Salary:** $125,800.0 - $157,200.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Bioinformatics, Cloud Computing, Data Systems, Relational Databases, Linux, DevOps, Github, Python (Programming Language), PostgreSQL, Linux Commands, MySQL, Operational Databases, Systems Development Life Cycle, Software Tools, Software Engineering, Systems Architecture, Strategies of Testing, Gitlab, Git, Information Technology, Data Management, Software Version Control - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-bioinformatics-genomics-data-system-engineer-san-carlos-ca--73ded74e-7b27-4f71-bad5-15c437ec3dea ## About the Role Genomics, Bioinformatics, Systems Engineering, Genomics, DevOps, Automation Systems, Systems Engineering, Data Science, Bioinformatics, Cloud Computing, * Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred. * Minimal 6 years of relevant industry experience for candidates with only a Bachelor's Degree. Minimal 3 years of relevant industry experience for candidates with a Master's Degree. Minimal 2 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 working experience in a Software Engineering, or a DevOps team. * Demonstrable experience in developing and maintaining custom-developed software tools or systems for production environments, preferable in high-throughput settings (e.g., heavy traffic and/or high computational load). * Demonstrable experience in creating software design specification documents, verification and validation documents, and user manuals., * Excellent understanding of key bioinformatics and genomics concepts, and NGS technologies. * Excellent Python programming skills, with demonstrable bioinformatics or genomics application and/or automation system development experience. * Excellent understanding of AWS services relevant to bioinformatics and genomics applications. * Working experience with key AWS services, such as Batch, ECS, S3, EC2, HealthOmics, etc., preferably in developing for-production software tools/systems. * Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and demonstrable working experience in for-production database-based application development. * Working experience with bioinformatics and genomics-specific file types, such as BCL, FASTQ, BAM, VCF files. * Working knowledge in optimizing system architecture and individual components for performance, scalability, and/or reliability, especially for genomics-scale data. * Working knowledge in tool/system performance evaluation methods, and familiar with the key factors, such as RAM, Disk IO, Network IO's impact on system/tool's performance, especially for bioinformatics and genomics applications. * Working knowledge in SDLC and software development and testing methodologies. * Working knowledge in Linux command line skills, and past Linux application development experience. * Proficiency in Git workflow and version control systems like GitHub and/or GitLab. * Past experience in developing automation solutions. ## Description As a Senior Bioinformatics & Genomics Data System Engineer of our Data Science Production Engineering (DSPE) department, you will be a key member in the DSPE DevOps team, to design, develop, test, deploy, maintain, and update DSPE's software tools, data platforms, cloud platforms, automation systems, and analytics systems., * Ensure the timely and efficient delivery of software tools and systems with correct and robust functionality. * Contribute to key design, development, testing, deployment, validation, maintenance, and update activities for DSPE's software tools and data/cloud/automation systems. * Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. * Maintain and optimize software/system performance, by monitoring and studying different solutions' impacts on key system metrics, such as network I/O, disk I/O, RAM usage, CPU usage, disk space usage, etc. Quality, Compliance, and Documentation * Contribute to technical documentation's creation, maintenance, and updates for the DSPE Software Engineering & DevOps-team owned software tools and systems. * Create training materials, and contribute to training activities, for the DSPE Software Engineering & DevOps team-owned software tools and systems. Cross-Functional * Train and coach DSPE team members on new technologies, procedures, and guidelines/best practices. * Represent the DSPE Software Engineering & DevOps team in stakeholder meetings.