Staff Backend Engineer

About the role

We're looking for a Staff Backend Engineer to own and evolve the backbone of our platform. This is a technical leadership position: you'll shape our architecture, set engineering standards, and make the long-term infrastructure decisions that determine how Stack AI scales. You'll work directly with our founders and product leads, balancing speed with sustainability in a fast-moving startup where your work ships quickly and your influence is felt across the entire product.

Responsibilities

• Architect and scale core systems - Design, build, and own the backend services that power our no-code AI platform, from API layer through data pipeline.
• Lead authentication and identity infrastructure - Own our SSO, SAML, and OIDC integrations, ensuring enterprise-grade auth that scales with our customer base.
• Set technical direction - Define system design patterns, service boundaries, data modeling approaches, and long-term infrastructure strategy.
• Mentor and elevate the team - Raise the bar through design reviews, pairing, knowledge-sharing, and establishing best practices across backend engineering.
• Drive reliability and observability - Proactively identify bottlenecks, improve performance, and evolve our infrastructure before problems become incidents.

Requirements

• Required
• 6+ years of backend engineering experience, with a track record of operating at Staff level or as a technical lead on complex, production systems.
• Deep expertise in SSO, SAML, and OIDC - you've built or owned identity and authentication systems, not just consumed them.
• Broad understanding of identity provider (IdP) architecture and enterprise auth patterns.
• Strong proficiency in Python with experience in FastAPI or similar modern frameworks.
• Deep knowledge of distributed systems design , database architecture, and scaling strategies.
• Hands-on experience with SQL and NoSQL databases (e.g., Postgres, Supabase, SQLAlchemy).
• Strong command of cloud infrastructure (AWS: EC2, S3, RDS, Lambda) and containerization (Docker, Kubernetes).
• Comfort operating in a fast-paced startup where priorities shift and impact is immediate.
• Experience with entitlements management , usage-based metering , or billing systems (e.g., Stripe Billing, Lago, or custom metering pipelines).
• Why Join Stack AI
• You'll join a lean, high-impact engineering team where you own a major slice of our technical future. This role is for someone who wants to architect complex systems at scale, mentor a growing team, and play a defining role in how AI workflows are built and delivered to thousands of organizations.
• Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Additional Information

About Stack AI Stack AI is a no-code, drag-and-drop platform for designing, testing, and deploying AI workflows powered by large language models. Our visual interface lets teams connect data sources to AI models and ship production applications - chatbots, document processing pipelines, database Q&A tools, and more - without writing code. We're scaling from thousands to millions of users, and the backend systems that make that possible need a dedicated technical leader. That's where you come in.

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