About the role

Staff Software Engineer leading design and architecture for Suger’s core platform and AI-driven products. In this role, you’ll shape architecture and solve complex problems in distributed systems.

Responsibilities

Lead architecture and technical direction for core platform infrastructure and AI-powered customer-facing products, ensuring scalability, reliability, and long-term maintainability.
Design and evolve AI agent infrastructure, including orchestration, observability, safety, and integration with existing enterprise systems.
Own and deliver complex, cross-functional initiatives end-to-end, from problem definition and system design through implementation, deployment, and iteration.
Act as a technical multiplier, setting engineering standards, mentoring engineers, and raising the overall quality, velocity, and technical judgment of the team.
Partner closely with Product, Design, and Customer-facing teams to translate business and customer needs into robust AI-assisted and automation-driven solutions, including direct customer collaboration when needed.
Drive platform excellence at scale, improving system performance, reliability, CI/CD pipelines, cloud infrastructure, and AI system robustness.
Establish best practices for AI production readiness, including data quality, evaluation, monitoring, and failure handling in real-world enterprise environments.

Bachelor’s or Master’s degree in Computer Science or a related field.
6+ years of hands-on experience building and operating production systems in at least one of: Python, Go, TypeScript, Java, or C++.
Strong fundamentals in distributed systems, REST APIs, SQL, and system design.
Proven architectural leadership, including designing scalable platforms, making sound technical tradeoffs, and balancing near-term delivery with long-term platform health.
Experience designing or operating AI-enabled systems (e.g., AI agents, LLM-backed services, ML-powered workflows, or automation platforms), or strong interest in doing so.
Familiarity with cloud infrastructure (AWS, Azure, or GCP) and building reliable services on top of them.
Experience with Terraform, GitHub CI/CD, Docker, and Kubernetes is a strong bonus.
Ownership mindset and strong communication skills - comfortable operating in ambiguity, collaborating cross-functionally, and clearly explaining complex technical decisions to both technical and non-technical stakeholders.

Competitive compensation and equity plan.
Monthly office stipends for lunch and commute-related benefits.
Full healthcare benefits - extended health care, dental, vision, and life insurance.
Work alongside a top-notch team with experience at Google, Meta, Salesforce, Pave, Motive, and Square - building AI agent and AI infrastructure SaaS that powers revenue workflows.
Own a major pillar of our go-to-market strategy from day one - driving architecture, engineering standards, and platform reliability with the autonomy to build what you think is right.
Fast-moving, flat org with real product-market fit and big ambitions where you’ll ship quickly, influence the roadmap, and see direct customer impact.