A Remote DevOps Engineer needed at Skywalk Global

Project Scope and Brief Description:

• The position is for work in the bioinformatics space, principally writing new and/or maintaining existing bioinformatics workflows and pipelines such as an Eukaryote Genome Annotation Pipeline.
• As such the role requires knowledge of Cloud technologies (AWS, Kubernetes, Container orchestration) as well as experience with industry-level scientific workflow management.

Responsibilities:

• Design, develop, optimize, and maintain scalable bioinformatics workflows for processing and analyzing large-scale genomics datasets in the cloud and in-house
• Include a flexible modular architecture into the workflows to enable the exchange of analysis components and different algorithms
• Implement the bioinformatics data processing pipelines using workflow management tools and programming languages such as Python
• Work with team members to perform quality control and validation of pipelines to ensure accuracy and reproducibility of results
• Document the development processes, including code, workflows, data flow diagrams, and standard operating procedures, following software development and DataOps best practices

Skills / Experience:

Required Qualifications

• Previous experience developing industrial scale scientific data workflows.
• Strong programming skills in Python including libraries for Data Science such as NumPy, Pandas, NetworkX, matplotlib, etc.
• Working knowledge of container technologies (such as Docker, ContainerD, or Podman) and container orchestration.
• Experience with data pipeline tools (like Argo, Ray, AirFlow, Redun or NextFlow).
• Familiarity with the AWS platform (IAM, EC2, S3, CloudWatch, Spot instances) and Kubernetes, EKS, ECS, AWS Batch or other Cloud compute architectures.
• Ability to work both independently and collaboratively with good communication skills. Interest in learning new technologies

Preferred Qualifications:

• Specific experience analyzing large genomics datasets
• Familiarity with common bioinformatics tools and datatypes for the analysis of NextGen sequencing data
• Familiarity with statistical analysis methods and tools commonly used in bioinformatics analysis such as Gene Expression or ChIPSeq
• Knowledge of any additional programming languages such as C, Rust, Perl, R, Unix Shell or others