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About the role
Design, build, and enhance secure, scalable, and reliable distributed services for AI workloads across air gapped and sovereign cloud environments, demonstrating depth in system design and cloud scale engineering. Apply engineering fundamentals with leadership-level rigor, including automation, telemetry, resiliency engineering, performance optimization, and security by default implementation across services. Develop robust automation and platform tooling to improve deployment, testing, observability, and operational workflows, reducing friction and increasing engineering velocity. Work as an AI native full stack builder, using tools like GitHub Copilot and other approved Large Language Model (LLM) based workflows to accelerate design, coding, debugging, and prototyping, while following Foundry's security and compliance guidance. Lead investigations during on call rotations, diagnose complex issues, drive root cause analyses, and deliver durable system improvements that enhance long term reliability. Incorporate customer, partner, and field feedback into technical decisions—aligning with the Foundry Product Way's focus on customer first innovation and continuous learning loops. Collaborate effectively across teams, contributing to clear technical documentation, sharing insights, and modeling the Foundry culture of curiosity, craftsmanship, and high quality execution. Other: Embody our Culture and Values Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer screening requirements may result in employment action up to and including termination. Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Experience with Docker and Kubernetes Background in cloud platforms (Azure preferred) Proficiency in C# or Python Understanding of CI/CD and automation best practices Problem‑solving and debugging skills across cloud services, platform components, and operational tooling. Demonstrated ability and willingness to learn rapidly in a fast‑evolving AI and infrastructure environment, including staying current with new architectures, tooling, and best practices.
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