Senior Software Engineer

Nova Intelligence

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience with a focus on backend and distributed systems.
  • Proficiency in programming languages such as Python, JavaScript/React, and Go.
  • Strong understanding and experience with AWS and infrastructure-as-code tools like Terraform.
  • Demonstrated insight into agent design and operational optimization using modern AI tools.
  • Ability to navigate undefined problems and implement concrete solutions quickly.
  • Effective communication skills for multi-disciplinary collaboration.

Responsibilities

  • Develop the core platform that supports agent navigation and operation on large SAP codebases.
  • Design and implement frameworks for evaluating agent performance on customer workloads.
  • Build and maintain scalable infrastructure for enterprise-level deployments, ensuring reliability and compliance.
  • Construct backend services and create integrations with existing enterprise systems for seamless user experience.
  • Manage the deployment processes across various customer environments, both cloud and on-premise.

Benefits

  • Opportunity to work on cutting-edge technology solutions in the AI and enterprise tooling space.
  • Work in a dynamic environment that encourages innovation and independent problem-solving.
  • Contribute to foundational infrastructure projects that shape the future of enterprise systems.
  • Collaborate with experienced colleagues and participate in making impactful contributions to the product.
Full Job Description
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.

What you'll do

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.

What we're looking for
  • 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.

Background we'd love to see
  • 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
  • Time at an early-stage startup
  • Contributions to open-source projects in AI tooling, developer tools, or adjacent spaces


If you read this and recognize the role you want, apply - even if you don't match every line.

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