Desired Skills and Experience
- Design, develop and deploy pipelines that enable reproducible and scalable processing of large genetic datasets in cloud and HPC environments.
- Work with application developers and end-users to connect high-quality analysis processes and user interfaces to scalable compute resources and infrastructure.
- Automate processes for securing systems and data, for allocating limited resources, for monitoring and collecting use metrics, and for responding to security incidents.
- Help design local and remote compute systems to balance cost, performance, and user needs.
- Contribute to maintenance and administration of local and cloud compute resources.
- Bachelor’s degree in computer science, engineering or an equivalent combination of education and experience.
- Minimum of five years of relevant experience in a related role displaying strong personal initiative, a drive for continuous improvement, demonstrated end-to-end responsibility for mission-critical services and excellent problem-solving skills.
- Strong communications skills with the ability to convey technical concepts effectively such that various audiences receiving the communication can understand.
- Extensive experience with Linux and with at least one major cloud provider (GCE, AWS, or Azure).
- Experience with writing and documenting high-quality code using version control systems such as Git.
- Experience with continuous integration tools (Jenkins, Travis CI, etc).
- Experience with web service and application components including HTTP servers, proxies and SQL/NoSQL database servers (MySQL preferred).
- Proficiency in the principles of computer programming and at least one high-level language such as C/C++, Perl, Python, Go or Ruby.
- Experience with HPC batch queuing and resource management systems such as SLURM or Sun Grid Engine.
- Experience with configuration management using tools such as Puppet or Chef.
- Familiarity with containerization systems such as Docker and Kubernetes.
- Prior experience in a FISMA compliant environment.