Member of Technical Staff - Cloud Infrastructure

What you'll do

• Architect, develop, deploy, and maintain internal AI applications such as recruiting tools, contextual assistants, and semantic search.
• Own application operations and use Databricks Apps to support deployment, hosting, scaling, reliability, and performance.
• Work with internal stakeholders to define needs, prototype, gather feedback, prioritize work, and make build-versus-buy decisions.

What they ask for

• BS in Computer Science or equivalent practical experience.
• 5+ years of full-stack software engineering experience across frontend and backend.
• Strong programming proficiency in Python and/or modern JavaScript ecosystems (Node.js, React, Next.js, etc.); hands-on experience building agentic applications, including LLM orchestration.
• Practical experience with SQL and Vector databases; DevOps, CI/CD, and end-to-end deployment ownership; AI coding assistant workflow; demoable relevant projects.

Nice to have

• Experience building enterprise internal productivity or operations tools; application security, authentication protocols, and access controls.
• Expertise in RAG pipelines and prompt engineering; cloud deployment experience in AWS, GCP, or Azure; familiarity with machine learning or silicon engineering.

Tools

Python, Node.js, React, Next.js, LangChain, Databricks Apps, SQL, Vector databases

AI focus

Build agentic AI applications for internal productivity, including LLM orchestration, contextual assistants, semantic search, and recruiting tools.