Senior Software Engineer

Nova Intelligence•United States, CA

About The Position

Nova Intelligence is building the most powerful AI platform for SAP teams. SAP is the heart of the enterprise: almost every critical business process at the world's largest companies — finance, supply chain, manufacturing, sales — runs on SAP. Our customers use Nova to 3x the productivity of their SAP teams: modernizing legacy code, redesigning business processes, resolving production issues, and more. Nova Intelligence was founded by AI researchers, repeat entrepreneurs, and the co-inventor of SAP HANA, and has raised $40M from SAP.io , Accel, Conviction, and Chemistry. Check out the Launch Video About this role We're hiring software engineers to build the platform that powers Nova. The role spans agent infrastructure, distributed systems, product engineering and more. The common thread is solving hard problems without off-the-shelf solutions. Enterprise systems like SAP weren't built for modern developer tooling, so we're building foundational infrastructure from scratch — the indexing, versioning, authentication, execution, and integration layers that agents need to understand, create, and transform code at scale. We hire across senior, staff, and principal levels. We don't use formal levels internally — we look for people who can drive substantial work end-to-end — and we reflect seniority in compensation.

Requirements

You're a strong software engineer with a track record of shipping production systems end-to-end.
We work primarily in Python, JavaScript/React, and Go.
You have strong cloud and infrastructure chops.
Familiarity with AWS is a must, and you're comfortable working in infrastructure-as-code (Terraform or similar).
You have informed opinions on agent design and frontier models.
You've used Claude Code, Cursor, Cline, or similar enough to know what works and what doesn't, and you've optimized your own workflow to ship faster.
You're comfortable with ambiguity. You can take an ill-defined problem and ship a solution without waiting to be told how.
You communicate clearly across engineering and non-engineering audiences.
3+ years of experience in backend, infrastructure and distributed systems engineering
3+ years of experience with cloud platforms (AWS, GCP), Kubernetes, or similar
Production experience with LLMs and AI agents

Nice To Haves

Time at an early-stage startup
Contributions to open-source projects in AI tooling, developer tools, or adjacent spaces

Responsibilities

Build the core platform. You'll work on the systems that let the agent reliably navigate, understand, and operate on large, interconnected SAP codebases — code search at scale, the version control layer we've built on top of SAP via off-stack editing, authentication, sandboxing, tool calling, and the agent orchestration that ties them together.
Make the agent reliable. You'll design evaluation frameworks and feedback loops that systematically improve agent performance on real customer workloads. You'll instrument what the agent does, surface failure modes, and turn customer scenarios into reproducible tests that drive measurable improvement.
Build for enterprise deployment. You'll ship the infrastructure that lets Nova run reliably at Fortune 500 scale — automated deployments across many customer AWS accounts, robust RBAC and permissioning for agents, security and compliance (SSO, audit, data residency), and cloud and on-prem environment support.
Ship product end-to-end. You'll build the things customers see and use daily — backend services, integrations with the rest of the enterprise stack, and the client applications customers live in every day.