DevOps Engineer - Philadelphia, PA

Responsibilities

• Design and maintain automated development pipelines, supporting PIMCS software development using platforms like GitLab CI/CD.
• Automate build, test, and deployment workflows to support continuous integration and delivery.
• Develop and maintain development, integration, and test environments supporting software verification and validation.
• Implement automated quality gates within pipelines, including: Unit testing, Integration testing, Static code analysis and Security and dependency scanning.
• Support containerized or virtualized development environments where applicable.
• Maintain and integrate tools supporting Code quality analysis, Dependency and vulnerability scanning, and Automated testing frameworks.
• Monitor pipeline performance and maintain pipeline metrics and dashboards to improve reliability and efficiency.
• Improve deployment speed, reliability, and repeatability across development and integration environments.
• Administer and maintain the software development toolchain supporting the PIMCS development team.
• Manage development platforms including: GitLab repositories and CI/CD services, Issue tracking platforms such as Jira or equivalent, Documentation and collaboration platforms.
• Develop integrations between development tools to support end-to-end DevSecOps workflows.
• Provide technical guidance, documentation, and training to developers on tool usage and best practices.
• Monitor and maintain tool health, availability, and performance.
• Develop and implement performance testing strategies for PIMCS software components.
• Design and execute performance test scenarios that simulate operational and integration environments.
• Measure and analyze system performance metrics including Latency, Throughput and Resource utilization (CPU, memory, network).
• Identify performance bottlenecks and inefficiencies within software components and infrastructure.
• Collaborate with software developers and systems engineers to optimize system performance.
• Track and analyze performance trends across software releases to detect regressions.
• Develop benchmark testing frameworks and performance monitoring capabilities.
• Manage datasets used across development, testing, simulation, and performance validation environments.
• Maintain data schemas, data interfaces, and data management practices supporting PIMCS software components.
• Ensure disciplined management of Configuration data, Operational logs and Test and simulation datasets.
• Document data structures, schema definitions, and access procedures.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering or Electrical Engineering and 3 years of experience in the following:
• Experience supporting DevSecOps or CI/CD pipelines in a software development environment.
• Experience administering or supporting Git-based development platforms (GitLab, GitHub, or similar).
• Experience with automation scripting (Python, Bash, or similar).
• Experience supporting software development tools and developer workflow platforms.
• Familiarity with performance testing methodologies and performance monitoring tools.
• Experience managing or supporting structured datasets used for development or testing.
• Ability to work collaboratively with software developers, systems engineers, and government stakeholders.
• Strong troubleshooting, analytical, and problem-solving skills.
• US Citizen with an active Secret Security Clearance.

Qualifications

• Experience supporting U.S. Navy or NAVSEA software programs, particularly those involving shipboard or industrial control systems.
• Familiarity with NSWCPD development and integration environments.
• Experience implementing DevSecOps practices in DoD or regulated environments.
• Experience with GitLab CI/CD administration and pipeline design.
• Familiarity with container technologies such as Docker or Kubernetes.
• Experience with code quality, security scanning, and software supply chain tools.
• Experience conducting system performance benchmarking or load testing.
• Experience managing large engineering datasets, simulation data, or test data repositories.
• Familiarity with Agile or DevSecOps software development frameworks.
• Experience supporting laboratory or shipboard software deployment environments.