Software Engineer Level 3

About the Role

Key Responsibilities

• Perform software development, testing, and integration activities.
• Implement DevOps solutions to support HPDA Compute Platform projects.
• Support project requirements through various technical tasks related to software and infrastructure.

Requirements

• Experience using the Linux CLI to perform basic operations and package management.
• Experience writing scripts using Shell/Bash/Python to automate administrative tasks and workflows.
• Experience developing with multiple programming languages including Java and Python.
• Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL.
• Experience with CI/CD principles, methodologies, and tools such as GitLab CI.
• Experience with Infrastructure as Code (IaC) principles and automation infrastructure provisioning and configuration using tools such as Ansible.
• Experience installing, configuring, and supporting COTS/GOTS/FOSS software, libraries, and packages involving stream/batch data processing and analytic frameworks.
• Experience with data parsing/transformation technologies and file formats including JSON, XML, CSV, TCLD, and Parquet.
• General Cloud and HPC knowledge regarding computer, networking, memory, and storage components.
• Experience with Linux administration including software integration, configuration management, and routine operations related to provisioning, storage, and networking.
• Experience with containerization technologies such as Docker.
• Experience with containerization deployment, orchestration, management, and sustainment within a Linux production environment.
• Experience with Git for source code management.

Nice to Have

• Experience with the Atlassian Tool Suite (JIRA, Confluence).
• Experience developing, configuring, troubleshooting, and sustaining large Accumulo deployments in a Linux environment.
• Experience with Agile software development methodologies.
• Familiar with GPU acceleration tools such as PyTorch.
• Familiar with HPC workload managers such as Slurm.
• Familiar with ML frameworks such as Hugging Face.

Qualifications

• Master's degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE.
• Bachelor's degree in computer science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE.
• Nine (9) years of experience as a SWE.

Benefits & Perks

• Salary range: $101,996.00 - $219,107.00 annually.