Engineering Manager, Frontier AI Infrastructure - Public Sector

The shape of it

In the posting’s own words

Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You'll lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and debug platform issues, and you'll partner upstream with Product to catch issues before they break, moving the team from "infra-only debugging" to proactive integration testing.

What it asks for · 7

• At least 1-2+ years of direct people management experience leading a team of software engineers (hiring, performance management, and career development), plus a strong track record as a hands-on individual contributor.
• Full Stack Development: Proficiency in both front-end and back-end development, including modern web frameworks, programming languages, and databases. Experience developing and delivering software to air-gapped and isolated environments is a plus.
• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Familiarity with cloud platforms (AWS, Azure, GCP) and experience developing and deploying applications in cloud-native environments.
• Security Focused: Experience with federal compliance frameworks and requirements (e.g., Cloud SRG, FedRAMP, STIG Benchmarks). Experience delivering software and technical solutions that meet strict security and regulatory requirements.
• Team Building: Experience building or scaling a team from a small size, and setting engineering standards (code review, testing, on-call) that stick.
• Problem Solving: Strong analytical skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to technical obstacles.
• Collaboration and Communication: Excellent interpersonal and communication skills to collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences.

Tools and skills named

Words the posting leans on

• experience7×
• customer6×
• technical6×
• requirements5×
• code4×
• development4×
• engineering4×
• public sector4×
• cloud3×
• cloud-native3×
• debugging3×
• e.g3×
• engineers3×
• hands-on3×
• issues3×
• lead3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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