Senior Software Engineer

Description

About the company

The company is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. The company unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — the company turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit the company's site .

Responsibilities

• We're looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it — the event-driven services, real-time integrations, and APIs that let agents reliably do real work. In this role, y ou will also be responsible to:
• Build event-driven, horizontally-scalable backend services that process work reliably and correctly even when parts of the system fail.
• Build real-time surfaces and integrations — streaming connections, gateways, and CLIs — that hold up under load.
• Integrate LLMs and agentic harnesses into production systems.
• Drive features end-to-end — from ideation and architecture through deployment, observability, and iteration.
• Raise the engineering bar through clean, well-tested code, thoughtful reviews, and mentorship.

Requirements

• 5+ years shipping and operating production backend systems at scale.
• Strong proficiency in Python, and the judgment to write clean, well-tested, maintainable code under it.
• Deep distributed-systems fundamentals: you know how to keep systems correct and available under partial failure, backpressure, and load — and you design for it by default.
• Hands-on experience with event-driven, streaming, or real-time systems (queues, pub/sub, long-lived connections).
• Comfortable operating services in production on Kubernetes in the cloud — and instrumenting them with metrics, tracing, and dashboards so you can debug what you ship.
• Solid API and software-architecture instincts; you make and defend sensible trade-offs in ambiguity.
• LLM/agentic and developer-facing product experience (MCP, RAG, APIs, SDKs, CLIs) a strong plus.
• Our stack: Python, FastAPI, Postgres, Kubernetes, AWS. You don't need prior experience with all of it — we care that you can pick it up fast.
• Soft Skills / Personal Characteristics
• High agency and ownership: You drive work end-to-end, from ambiguity to shipped and iterated, without waiting to be told.
• A reliability mindset: You design for failure, not just the happy path.
• Product-minded: You care about the users using what you build, not just the system behind it.
• AI-native: You use modern AI tooling (e.g., Claude Code) in your daily workflow and stay at the cutting edge of what it can do.
• Excellent written communication: We work async and write things down.
• (REQ ID: 3006)

Benefits

• Ultimately, the company believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.
• But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
• If this sounds right up your alley, please submit an application. We look forward to getting to know you!
• Also, feel free to check out why:
• Business Insider named us an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the 1 best company for remote workers