Bionano Genomics-posted 4 days ago
Hybrid • San Diego, CA
Chemical Manufacturing
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The Staff Software Engineer - DevOps works as a key technical leader of the system development team contributing to the implementation and commercialization of accelerated solutions for novel analysis pipelines with broad market impact.

  • Manage the Integration, build, and deployment of Bionano software
  • Build and maintain automation test suites for software packages
  • Contribute to solutions that meet yield, throughput, and accuracy requirements
  • Collaborate with bioinformatics and software engineering teams
  • Execute on all phases of the SDLC (Software Development Life Cycle)
  • Experience deploying software in both Linux and Windows environments
  • Knowledge of CI/CD systems or tools such as Jenkins
  • Knowledge of configuration management and deployment tools such as Ansible and Puppet
  • Knowledge of source control systems such as Git or SVN
  • Knowledge of artifact/binary repository systems such as Artifactory or Nexus Sonatype
  • Knowledge of environment management systems such as Conda
  • Experience building installers
  • Knowledge of working with container technologies such as Docker, Singularity, or Kubernetes
  • Knowledge of working with HPC systems such as SLURM or Sun Grid Engine
  • Knowledge of working with cloud platforms, such as AWS or Microsoft Azure
  • Experience developing tools and packages in R, Python, Perl, shell, or batch
  • Familiarity with virtual machines using platforms such as VMWare, VirtualBox, Hyper-V, or Azure VM
  • Experience with system monitoring software such as Splunk and Ganglia
  • Knowledge of security scanning software such as Qualys
  • Ability to work remotely
  • Experience or exposure to genomics and / or bioinformatics solutions
  • Exposure or experience in accelerated parallel computing solutions
  • Experience developing large data, high-performance databases
  • Experience with software development processes such as Agile Scrum
  • Demonstrated application of best practices for source control and configuration management for scripts, tools and self-developed code
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