Platform Engineering Intern at Systems… · Alexandria

Summary: Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. They are seeking a Platform Engineering Intern to support the design, automation, and operation of internal developer and infrastructure platforms, focusing on AI-enabled workloads and tooling. Responsibilities: - Assist in building and maintaining platform services that support application and AI-enabled development - Contribute to infrastructure automation using Infrastructure-as-Code tools (e.g., Terraform, ARM, Bicep, or similar) - Support CI/CD pipelines, including pipelines used for data processing or AI-related workflows - Gain hands-on exposure to how platforms support AI and data workloads (e.g., model training, inference services, data pipelines) - Assist with environment setup for AI experimentation, including compute, storage, and access controls - Learn how AI workloads impact scaling, cost management, security, and observability - Work with cloud and virtualized environments supporting compute, storage, and networking - Assist with containerized workloads and Kubernetes-based platforms where applicable - Help maintain baseline configurations and platform standards - Learn and apply security-by-design principles, including least privilege and environment isolation - Assist in monitoring platform health and basic observability for both application and AI-related services - Support documentation, configuration validation, and operational readiness efforts - Collaborate with platform engineers, application teams, and security stakeholders - Participate in technical discussions, sprint planning, and design reviews - Document work clearly to support knowledge sharing and repeatability Required Qualifications: - Candidates must be actively enrolled in an accredited, degree-seeking undergraduate or graduate program and have at least one semester remaining following the internship - Currently pursuing a degree in Computer Science, Engineering, Data Science, Information Systems, or a related field - Foundational understanding of at least one programming or scripting language (e.g., Python, PowerShell, Bash, or Go) - Basic familiarity with Linux or Windows systems - Introductory understanding of AI or machine learning concepts (e.g., models, training vs. inference, data pipelines) - Intense curiosity about how cloud platforms, automation, and AI systems work together - Ability to learn quickly, follow technical guidance, and complete assigned tasks Required Skills: Cloud platforms, Infrastructure automation, Programming language Important Skills: AI concepts, Linux systems Nice-to-Have Skills: Curiosity, Learning ability