Senior backend engineer állások, munkák

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• Design, build and maintain backend services with Kotlin and PHP (Symfony)
• Work on a high-traffic platform, optimizing for performance, stability and scale
• Ship fast, favoring MVPs and rapid iteration based on customer feedback
• Help improve our architecture and backend practices continuously

• Design, develop, and maintain high-quality software across the full stack for our core instrument software.
• Play a key role in building and evolving robust back-end controllers using C#/.NET that interface with instrument hardware and handle data processing.

• Architect and implement high-reliability backend services (using TypeScript & Rust) that support core blockchain-enabled products.
• Build APIs, data pipelines, and internal tooling to streamline platform scalability and performance.

Design, develop, implement and own products and solutions to improve the security, reliability, and scalability of N26 cloud infrastructure and systems in the workload orchestration domain...

Build and operate the cloud infrastructure and backend services that power the platform Work primarily with Node.js/TypeScript to deliver secure, scalable, and high-performing microservices on AWS Design and maintain infrastructure as code with AWS CDK Manage CI/CD pipelines Own services...

Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools. Actively contribute to code reviews, testing practices, and maintain service stability. Support and guide junior engineers (SE-I), fostering collaboration, knowledge sharing, and...

• Design, develop, test, and ship robust, maintainable, and readable web applications
• Bring in industry standards and best practices to continuously simplify the current software architecture to reduce complexity and maintenance cost
• Solve hard problems where lateral thinking is required

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.