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Jobs at Cirql One Gmbh

3 open positions

Open roles

Senior ABAP DeveloperCloud Platform ArchitectSenior Frontend Engineer

Senior ABAP Developer

Heidelbergonsite

About Cirql One We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. What they lack is a way to work with it at scale. Over time, meaning gets buried in legacy systems, configurations, customization, and undocumented logic. The data still runs the business, but it can’t easily be trusted, reused, or reasoned over consistently by modern software and AI. SAP sits at the center of this problem. It runs the core business process of more than 90% of Fortune 500 companies. SAP has spent decades perfecting systems of record while AI is building systems of reasoning, and the real opportunity lies in connecting the two. SAP systems are deeply embedded, business‑critical, and designed to change slowly. They are complex systems, refined over decades to ensure precision and control. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. At Cirql One, we’ve spent more than 30 years working inside these environments. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automate. What We Do Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to be the new system-of-reason sitting above SAP - where intelligence, metrics, and AI automation are defined, governed, and executed. The result is a stable foundation for AI, automation, and analytics that can evolve independently of the underlying systems. Tasks We are building a platform that manages immense complexity—ontologies, data pipelines, and AI reasoning. We are not looking for a traditional ABAP developer to build Z-reports or customize screens. We are looking for an expert who understands the heartbeat of SAP—ECC, S/4HANA, and BW—and wants to unlock it for the modern AI world. You will be the bridge between 30 years of ABAP logic, business semantics, and the future of agentic AI. You will write code that liberates business meaning and context from legacy configurations, allowing it to be trusted and reused by modern software. This is a permanent, product-oriented role, not project-based consulting. What You’ll Work On Modernize Data Access: Build clean, reliable extraction and integration logic that sits close to the data layer, prioritizing performance and stability. Reverse Engineer Meaning: Analyze complex, undocumented legacy logic to understand how business meaning is constructed inside SAP. Build Product, Not Projects: Unlike traditional consulting, you will build reusable core components of our platform that scale across different SAP environments. Collaborate with Cloud Architects: Work alongside the Platform and AI teams to ensure SAP data is exposed in a way that is consumable by the semantic layer. Requirements 8+ years of deep ABAP experience Deep understanding of SAP data structures, tables, and customizing in ECC and S/4HANA (DDIC, ABAP Dictionary, etc.) Experience with data-intensive ABAP development (extractors, data migration, interfaces, etc.) Knowledge of SAP integration technologies (IDocs, BAPI, RFC, SOAP, oData, etc.) Optimizing for scalable performance across applications and databases Familiarity with modern ABAP development practices (Git-based ABAP, CI/CD for ABAP, automated testing, etc.) Ability to communicate and collaborate effectively with technical and non-technical teams Bachelor's degree in Computer Science, Engineering, or related field Benefits Early-stage impact: Opportunity to apply your SAP skills to groundbreaking AI and semantic challenges Hard problems worth solving: SAP semantics, AI-ready data, and enterprise-scale deployment — this is genuinely challenging and exciting work Strong team: Work alongside experienced founders and engineers who've built data platforms before Growth trajectory: As the platform and company scale, so does the scope of this role If you want to apply deep SAP expertise in a modern product environment, we’d be glad to connect. Apply directly or get in touch informally. Find more English Speaking Jobs in Germany on Arbeitnow

Software Development
Jan 21, 1970via arbeitnowApply ›

Cloud Platform Architect

Heidelbergonsite

About Cirql One We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. What they lack is a way to work with it at scale. Over time, meaning gets buried in legacy systems, configurations, customization, and undocumented logic. The data still runs the business, but it can’t easily be trusted, reused, or reasoned over consistently by modern software and AI. SAP sits at the center of this problem. It runs the core business process of more than 90% of Fortune 500 companies. SAP has spent decades perfecting systems of record while AI is building systems of reasoning, and the real opportunity lies in connecting the two. SAP systems are deeply embedded, business‑critical, and designed to change slowly. They are complex systems, refined over decades to ensure precision and control. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. At Cirql One, we’ve spent more than 30 years working inside these environments. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automation. What We Do Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to be the new system-of-reason sitting above SAP - where intelligence, metrics, and AI automation are defined, governed, and executed. The result is a stable foundation for AI, automation, and analytics that can evolve independently of the underlying systems. Tasks This is a fundamentally unsolved problem at enterprise scale. There is no other established, reusable semantic foundation that enables AI systems to reason correctly and reliably over legacy ERP environments whilst preserving key business meaning as the systems and the business evolve. We are not building a better way to query data. We are building the foundation that allows AI to reason reliably over the business itself. This foundation allows enterprises to scale disruptive AI-driven innovation beyond isolated pilots, without sacrificing trust, governance, or consistency of business meaning. Building this platform means venturing into uncharted territory. This requires pragmatic architectural choices, avoiding unnecessary complexity, and making smart decisions despite incomplete information. We are therefore looking for a Platform Architect to take end‑to‑end ownership of Cirql One’s technical backbone. You will own the architectural integrity of the Cirql One platform. That includes: Owning the core platform architecture that balances scalability, security, speed of execution, and performance Making and defending key technology decisions with a long‑term view, while staying pragmatic about what matters now. Contributing directly to implementation by writing code, reviewing pull requests, and solving hard technical problems alongside the team. Establishing architectural patterns that allow semantic assets, data pipelines, and AI‑facing interfaces to evolve without fragmentation. This is a technical leadership role first and foremost. While the role may grow into building or leading a team over time, the initial focus is ownership and execution, not people management. We are a startup - that means context‑switching, wearing multiple hats, and being comfortable with ambiguity. It also means we value people who challenge assumptions, point out flaws, and help us avoid building the wrong thing — not just those who execute instructions. You will work at the intersection of engineering, product, semantics, and AI. This involves defining and owning the fundamental platform elements, including how business meaning is represented, versioned, governed, and exposed, ensuring that enterprise data and business logic can be reliably utilized by software and AI. You will work closely with product and engineering to turn complex, often ambiguous requirements into robust, scalable systems. You will regularly explain and defend architectural decisions across technical and non‑technical contexts. Clear thinking and clear communication matter as much as code. @Mattia Molteni correct - Fred recommended to take it out so we leave it for now and see what comes. Requirements Technical Foundation 8+ years in software development, with meaningful experience designing and building data-intensive systems Hands-on experience with data platforms, ETL/ELT pipelines, and data lake architectures Architectural Judgment Demonstrated ability to design scalable, maintainable systems and make sound trade-offs under uncertainty Critical thinking about technology choices — you evaluate tools and approaches based on evidence, not trends Collaboration and Communication Comfortable working in a small, cross-functional team where roles overlap, and ownership is shared Ability to explain complex technical concepts to product managers, customers, and fellow engineers Self-directed, with the initiative to identify problems and drive solutions without waiting to be asked Education Bachelor's or master’s degree in computer science, Engineering, or a related field — or equivalent practical experience Nice to Have Semantic and metadata systems: Experience with data catalogs, ontology mapping, knowledge graphs, or metadata-driven architectures Analytics platform background: Prior work at a BI, analytics, or data platform company Benefits Early-stage impact: You'll shape the architecture of a platform with real enterprise customers, not maintain legacy systems Hard problems worth solving: SAP semantics, AI-ready data, and enterprise-scale deployment — this is genuinely difficult work Strong team: Work alongside experienced founders and engineers who've built data platforms before Growth trajectory: As the platform and company scale, so does the scope of this role If you like getting in early, making the hard calls, and building the foundation others will later build on, this is the role for you. The process is simple: a first conversation, followed by a few focused discussions around architecture and how you think. No tests, no theatrics. Apply directly or reach out for an informal conversation. Find Jobs in Germany on Arbeitnow

Software Development
Jan 21, 1970via arbeitnowApply ›

Senior Frontend Engineer

Heidelbergonsite

About Cirql One We believe the real value of modern enterprises lies in their data. Most large organizations already have the data they need. What they lack is a way to work with it at scale. Over time, meaning gets buried in legacy systems, configurations, customization, and undocumented logic. The data still runs the business, but it can’t easily be trusted, reused, or reasoned over consistently by modern software and AI. SAP sits at the center of this problem. It runs the core business process of more than 90% of Fortune 500 companies. SAP has spent decades perfecting systems of record while AI is building systems of reasoning, and the real opportunity lies in connecting the two. SAP systems are deeply embedded, business‑critical, and designed to change slowly. They are complex systems, refined over decades to ensure precision and control. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. At Cirql One, we’ve spent more than 30 years working inside these environments. We know why AI systems struggle to interpret enterprise data correctly, that many existing semantic layers stop at technical abstraction, and why business meaning must be made explicit to scale trust, reuse, and automation. What We Do Cirql One is a startup focused on building the missing link between ERP systems and AI: an SAP-native semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to be the new system-of-reason sitting above SAP - where intelligence, metrics, and AI automation are defined, governed, and executed. The result is a stable foundation for AI, automation, and analytics that can evolve independently of the underlying systems. Tasks We are building a platform that manages immense complexity—ontologies, data pipelines, and AI reasoning. Our frontend is not a thin layer, it’s where complex data, semantics, and AI behavior become tangible for users. We are looking for a Senior Frontend Developer to take ownership of building robust, maintainable UIs for a complex platform, working closely with UX, backend, and platform teams. This is a hands-on role in an early-stage product, with real architectural influence from day one. What You’ll Work On Building and maintaining high-quality frontend applications for complex workflows Defining frontend architecture, state management, and performance patterns Integrating cleanly with APIs and backend services Collaborating closely with UX to translate designs into durable implementations Helping establish frontend standards that support long-term product evolution Requirements 7+ years of frontend development experience in modern UI technology stacks such as React, Angular, etc. Strong skills in modern frontend frameworks, state management, and API-driven architectures Experience working on complex, long-lived applications Strong sense of code quality and maintainability Comfort operating in a fast-moving, ambiguous startup environment Benefits Early-stage impact: Opportunity to build a groundbreaking enterprise AI platform using a modern web stack Hard problems worth solving: SAP semantics, AI-ready data, and enterprise-scale deployment — this is genuinely challenging and exciting work Strong team: Work alongside experienced founders and engineers who've built data platforms before Growth trajectory: As the platform and company scale, so does the scope of this role If you’re interested in building frontend architecture that lasts, this role may be a fit. Our process is straightforward and focused on real-world problem solving. Apply directly or contact us for a first conversation. Find Jobs in Germany on Arbeitnow

Engineering
Jan 21, 1970via arbeitnowApply ›

Cirql One Gmbh office locations

Heidelberg

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