Senior Backend Engineer

At Cirql One, we are building the foundational layer that connects enterprise data to AI: a layer that doesn't just relay information, but genuinely understands it, making business meaning explicit, trusted, and actionable at scale.

The problem we're solving is deceptively hard. SAP runs the core operations of more than 90% of Fortune 500 companies. The data is reliable. The meaning, however, is buried inside 30 years of configurations, customizations, and undocumented logic that no AI system can interpret on its own. We've spent decades inside these environments. We know the problem intimately, and we've built our company around a single conviction: before AI can truly scale inside the enterprise, business meaning must be made explicit.

Cirql One is that missing link: an enterprise semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to become the system of reason sitting above SAP, where intelligence, metrics, and AI automation are defined, governed, and executed.

For a talented, driven, and collaborative engineer, working at Cirql One is an opportunity to build something genuinely important at the ground floor, with a team that takes both the craft and the mission seriously. That is our promise to such a candidate.

• Build the semantic core. Design, evolve, and own the platform that transforms raw enterprise data into structured, business-accurate meaning, from data extraction pipelines to semantic storage, versioning, and governance.
• Own features end-to-end. Take a problem from schema design through backend logic, API, and the edges of the frontend. You won't hand things off. You'll see them through, and you'll care about every layer.
• Shape architecture. Make principled technical decisions and explain them clearly. Balance long-term platform coherence with the speed that early-stage demands. Push back when it matters. Adapt when it doesn't.
• Amplify your impact with AI. Integrate the most powerful AI tools into your development workflow across design, implementation, testing, and documentation, to move faster while maintaining high standards for correctness and reliability.

• 4+ years of professional Python backend development experience.
• Strong expertise with FastAPI in production environments, including lightweight API design.
• Solid command of PostgreSQL, Snowflake (or equivalent relational databases) and ORM-based data modeling.
• Proven ability to translate customer and business requirements into well-architected technical solutions.
• Deep understanding of software engineering best practices — CI/CD pipelines, version control (Git), containerization (Docker), and hands-on experience with cloud infrastructure (Azure, GCP or similar).
• Demonstrated use of AI coding tools (e.g. Claude Code, Cursor) in production workflows, with strong judgment around validation and quality control.
• Experience creating test scenarios and writing automated tests to ensure code quality and reliability.

• Backend depth. You have solid experience building data-intensive or distributed systems. You're fluent across APIs, data modeling, and cloud infrastructure — and you make technical decisions that hold up over time, not just under today's constraints.
• Pragmatic by design. You weigh trade-offs clearly and reach for the right pattern, library, or approach for the problem at hand, not out of habit. You can defend that choice clearly.
• Sharp thinking. You break down complex problems methodically and reach well-reasoned conclusions. You know how to separate signal from noise, and you're comfortable making decisions under uncertainty without waiting for the perfect answer.
• Clear communicator. You express ideas precisely, in code, in writing, and in conversation. You can walk a non-technical colleague through a technical decision without oversimplifying it.
• Collaborative by default. You share knowledge freely, back the best idea regardless of where it came from, and make the people around you better. You're someone colleagues genuinely want to build with.
• Self-starter. You demonstrate ownership from day one. No ramp-up waiting for permission. You'll take initiative on real problems immediately and be trusted to own the outcome.
• Cross-functional. You'll work shoulder-to-shoulder with a lean team spanning engineering, product, and go-to-market. Decisions move fast, and your voice counts.

• Background in semantic systems (knowledge graphs, ontology mapping, data catalogs)
• Experience designing and maintaining data pipelines and ETL/ELT workflows.
• Exposure to SAP data structures or enterprise ERP environments
• Experience with microservices architecture, scalable API design, and building AI guardrails or internal AI tooling systems.
• Hands-on experience with agentic workflows and Model Context Protocol (MCP) integrations.