Genomics Data System DevOps Engineer-Temp

Natera
US RemotePosted 26 March 2026

Job Description

POSITION TITLE: Genomics Data System DevOps Engineer POSITION LOCATION: Remote, USA POSITION SUMMARY: At Natera we build fast, reliable and scalable data systems that are easy to deploy, maintain, and manage. Our Data Science Production Engineering (DSPE) team is building such a Genomics Data System, to support our RD and Data Science work. As a DevOps Engineer contractor working on this Genomics Data System, your responsibilities will include the following: PRIMARY RESPONSIBILITIES: Working with the Data Science Production Engineering team, to design and develop a Genomics Data System. Develop genomics data file retrieve and archive solutions from various data sources and platforms, e.g., DNAnexus, AWS HealthOmics. Develop databases that record and manage metadata of the genomics data files. Develop automation solutions for genomics data file retrieval and metadata management. Test, deploy, and maintain such systems. Write technical documentations for such systems. Provide training and technical support for other team members. QUALIFICATIONS: Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred. Minimal 7 years of relevant industry experience for candidates with only a Bachelor's Degree. Minimal 5 years of relevant industry experience for candidates with a Master's Degree. Minimal 3 years of relevant industry experience for candidates with a Doctorate degree. Excellent Python programming skills, with cloud application and/or automation system development experience. Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and past database-based application development experience. Proficient Linux command line skills, and past Linux application development experience. Familiarity with AWS services, and past working experience using AWS services. Good understanding and past working experience with genomics data, such as FASTQ, BAM, VCF files. Familiarity with Git workflow and version control systems like GitHub and/or GitLab. Familiarity with tool/system performance evaluation methods, and good understanding of key factors, such as RAM, Disk IO, Network IO's impact on system/tool's performance. Past experience in developing automation solutions. Familiarity with SDLC and software development and testing methodologies. Good documentation practices and coding style. Preferred but not required: IaC skills and experiences, such as CloudFormation, Terraform, and/or Ansible. Excellent communication skills. Strong integrity. Team player. PHYSICAL DEMANDS AND WORK ENVIRONMENT: Duties are typically performed in an office setting. Duties may require working outside normal working hours (evenings and weekends) at times. OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and mu ... (truncated, view full listing at source)
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