Software Engineer Level 3

About the Role

Key Responsibilities

• Perform software development, testing, and integration activities for HPDA Compute Platform projects.
• Implement DevOps solutions to support project requirements.
• Support software installation, configuration, and maintenance of COTS/GOTS/FOSS packages involving data processing and analytic frameworks.
• Manage containerization technologies such as Docker within a Linux production environment.
• Support routine operations related to provisioning, storage, and networking in Linux environments.

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 tools such as Ansible.
• Experience installing, configuring, and supporting data processing and analytic software frameworks.
• Experience with data parsing/transformation technologies and file formats including JSON, XML, CSV, TCLD, and Parquet.
• General knowledge of Cloud and HPC environments, including computer, networking, memory, and storage components.
• Experience with Linux administration, including software integration, configuration management, and routine operations.
• Experience with containerization technologies such as Docker.
• Experience with container deployment, orchestration, management, and sustainment in Linux environments.
• Experience with Git for source code management.
• Active TS/SCI clearance with an appropriate polygraph.

Nice to Have

• Experience with the Atlassian Tool Suite (JIRA, Confluence).
• Experience developing, configuring, troubleshooting, and sustaining large Accumulo deployments in Linux.
• Experience with Agile software development methodologies.
• Familiarity with GPU acceleration tools such as PyTorch.
• Familiarity with HPC workload managers such as Slurm.
• Familiarity 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.
• OR Bachelor's degree in computer science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE.
• OR Nine (9) years of experience as a SWE in programs and contracts of similar scope, type, and complexity.

Benefits & Perks

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