Senior Software Engineer, AI Infrastructure

📋 Description

• Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and
• Package the platform for enterprise environments: Helm-based installs, upgrades, and
• Integrate the serving layer with the platform's API gateway, identity, and metering services.
• Build the observability for operating GPU inference in production (serving metrics, GPU telemetry).
• Contribute across a multi-service codebase and help set engineering direction through design docs

🎯 Requirements

• 5+ years of software engineering experience in infrastructure, platform, or distributed systems.
• Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts
• Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track
• Strong Go programming skills; solid CI/CD and infrastructure-as-code skills.
• Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily
• Comfortable with high autonomy on a small, remote-first, written-culture team.

🎁 Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry
• Collaborative, passionate colleagues supporting Fortune 500 and Global 2000 customers
• Cutting-edge, open-source innovation
• High-energy environment with openness and growth opportunities
• Professional development, conferences, hackathons, tech talks
• Competitive compensation package with strong benefits