Genomics Data System DevOps Engineer

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 R&D 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.