HPC Engineer, AWS

Role Overview: As an HPC Engineer Sr, your primary focus will be developing and running Bioinformatic workflows/pipelines leveraging and managing WDL engines like miniWDL, Slurm, and R on AWS cloud utilizing technologies such as AWS Parallel Cluster, R Workbench, Batch, ECS, and Kubernetes. You will also be responsible for configuring Slurm partitions, converting standalone jobs to Slurm, installing and configuring R Workbench with scalable backends like Slurm and Kubernetes, as well as working with Dockers. Key Responsibilities: - Developing and running Bioinformatic workflows/pipelines using WDL engines like miniWDL, Slurm, and R on AWS cloud - Utilizing technologies like AWS Parallel Cluster, R Workbench, Batch, ECS, and Kubernetes Qualification Required: - 8-12 years of experience with AWS Services such as EC2, RDS, S3, RedShift, FSX, EFS, IAM, Batch, and Cloud Formation - Proficiency in Python and bash scripting - Experience with Slurm and R Workbench - Knowledge of Dockers Additional Details: You should have knowledge of Dockers, ECS, RDS, and S3. It is also beneficial to have good knowledge in developing and running Bioinformatic workflows/pipelines leveraging and managing WDL engines like miniWDL and Slurm. Company Details: No additional company details are provided in the job description. Role Overview: As an HPC Engineer Sr, your primary focus will be developing and running Bioinformatic workflows/pipelines leveraging and managing WDL engines like miniWDL, Slurm, and R on AWS cloud utilizing technologies such as AWS Parallel Cluster, R Workbench, Batch, ECS, and Kubernetes. You will also be responsible for configuring Slurm partitions, converting standalone jobs to Slurm, installing and configuring R Workbench with scalable backends like Slurm and Kubernetes, as well as working with Dockers. Key Responsibilities: - Developing and running Bioinformatic workflows/pipelines using WDL engines like miniWDL, Slurm, and R on AWS cloud - Utilizing technologies like AWS Parallel Cluster, R Workbench, Batch, ECS, and Kubernetes Qualification Required: - 8-12 years of experience with AWS Services such as EC2, RDS, S3, RedShift, FSX, EFS, IAM, Batch, and Cloud Formation - Proficiency in Python and bash scripting - Experience with Slurm and R Workbench - Knowledge of Dockers Additional Details: You should have knowledge of Dockers, ECS, RDS, and S3. It is also beneficial to have good knowledge in developing and running Bioinformatic workflows/pipelines leveraging and managing WDL engines like miniWDL and Slurm. Company Details: No additional company details are provided in the job description.