About the position
Zania is building agentic AI for Governance, Risk, and Compliance (GRC) to solve this massive problem. We are on a rocketship trajectory, creating intelligent agents that automate and augment the most complex risk and compliance workflows. We have found exceptional product-market fit and are scaling our team very quickly. As a Software Engineer, you will be a core member of our engineering team, building the backend systems that power both our core product and our agentic AI platform. This is a backend-focused role for engineers who thrive on solving challenges at a massive scale; full-stack experience is a strong plus. You will design, build, and deploy the critical infrastructure and services that handle everything from petabyte-scale data retrieval to running thousand-step AI agents. This is a unique opportunity to tackle some of the most demanding problems in computing today and build systems with government-level security and reliability.
Responsibilities
- Engineer Core Product Features: Take ownership of building and delivering scalable, secure backend services that directly power our user-facing product.
- Build Petabyte-Scale AI Pipelines: Design and implement robust systems for retrieval over petabyte-scale document troves and engineer pipelines for large-scale data collection.
- Develop Advanced Agentic Systems: Build the backend infrastructure for complex, 1000-step planning agents that help companies with critical processes, and create organizational-level interfaces for human-AI collaboration.
- Contribute to the architecture and management of our cloud infrastructure, ensuring high availability and performance.
- Engineer systems with the highest standards of security and reliability to protect the world's most sensitive data.
Requirements
- 3+ years of experience in software engineering.
- A demonstrated track record of delivering complex, high-quality backend systems.
- A history of building and launching robust products or platforms, ideally in a hyper-growth or 0-to-1 startup environment.
- Proficiency in Python for building robust backend services and AI pipelines.
- Experience with distributed systems, large-scale data processing (e.g., Spark), and cloud platforms (Azure, AWS, GCP).
- Experience with TypeScript and React is a plus for contributing across the stack but is not required.
- Strong ownership and drive, demonstrating a bias for action and the ability to manage complex priorities in a fast-paced environment.
- Proactive and resourceful problem-solver who is comfortable with ambiguity.
- Ability to articulate complex technical ideas clearly and persuasively to stakeholders across the organization.
Benefits
- Competitive Compensation & Equity.
