Job
In dieser Rolle entwickelst du zuverlässige Softwarelösungen, kümmerst dich um Datenmodelle, API-Implementierung, Integrationen und sicherst deren Performance im gesamten Stack, inklusive Testing und Produktionssupport.
Job-Technologien
Deine Rolle im Team
- You will be a full-stack engineer, shipping customer features across the interface, application services and database.
- Your particular strength will be the data and infrastructure that make those features dependable: how records are stored, how imports and background jobs run, and how information moves between Agent F and a customer's other tools.
- You will help build and operate the whole product, with deeper ownership of this foundation.
- This is hands-on full-stack engineering.
- A typical piece of work could involve extending a data model, implementing an application service, connecting it to a screen, testing it against a real database and following the release into production.
- You will also investigate slow reports, failed imports and jobs that stop halfway through, then improve the system so it handles those situations reliably.
- That foundation also supports our AI work.
- As we add document extraction, connected customer knowledge and software that takes actions for customers, you will build the services and data access those features need.
- The immediate priority is dependable software that customers can use, with more capable automation developed around specific tasks.
- Build the logic and application programming interfaces (APIs) that connect records, business rules and screens.
- Take features through implementation, testing, release and production support.
- Design clear data models, enforce relationships and transaction boundaries, and improve slow queries.
- Manage schema changes through reviewed migrations, preserve financial history and keep each customer's data isolated.
- Connect accounting tools, business systems and spreadsheets to a consistent model.
- Validate incoming records, handle changing source formats, and check that imported totals and reports agree with the source.
- Build scheduled jobs and workers that process work outside a user request.
- Handle retries without creating duplicates, resume interrupted runs, and make progress and failures visible to the team.
- Diagnose expensive queries, processing bottlenecks and partial failures.
- Test changes against real databases, plan for growing workloads, and build procedures to recover processing safely with the platform engineer.
- Add features such as extracting invoice fields or preparing an order from approved business data.
- Give models access through controlled services, check the result and require approval where needed.
- Develop connected customer knowledge when a feature needs those relationships, and measure whether it improves the result.
Unsere Erwartungen an dich
Ausbildung
- A computer science or computer engineering degree, or equivalent practical depth.
Qualifikationen
- You have designed relational data models, built services and processing pipelines, and stayed responsible for them after release.
- You are comfortable delivering across the stack and using AI tools in your daily work.
- You can explain how you diagnosed a slow query, recovered a failed job or shipped a database change safely.
- You understand what happens when two requests arrive at once, a dependency becomes unavailable or a process restarts halfway through its work.
- You can follow a problem from a source record through the application to the result a customer sees.
- Full-stack development with TypeScript, Node.js, React and PostgreSQL, or closely comparable technologies.
- Relational data modelling, SQL, query optimisation, indexes, transactions and reviewed database migrations.
- Application services and APIs, including permissions, validation and handling concurrent requests.
- Data imports, integrations and background jobs, including queues, safe retries and recovery from partial failures.
- Production debugging, service monitoring and performance work on systems used by real customers.
- Automated tests against real databases and other service dependencies.
- Practical use of AI in software, with an understanding of how to check outputs and control access to customer data.
- Daily use of AI coding agents, with direct responsibility for code review and verification.
Erfahrung
- You have seven or more years of software engineering experience, including substantial ownership of production applications and data systems.
Unser Angebot
- The role is full-time and in-person in Berlin.
- German is not required.
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Die Agent F GmbH mit Sitz in Berlin ist ein fortschrittliches Unternehmen, das sich auf die Entwicklung von KI-gestützter ERP-Software konzentriert. Diese Software hat das Ziel, die Finanz- und Geschäftsabläufe europäischer Start-ups sowie kleiner und mittlerer Unternehmen zu verbessern. Durch die Automatisierung von Buchungen und die Erstellung von Berichten erleichtert die Agent F GmbH die Verwaltung von Unternehmensdaten.
- Startup
- Internet, IT, Telekom
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