Lead Full Stack Engineer (Dealer-to-Client eTrading)

Deutsche Bank AG; Berlin; On-site; EUR 110,000 - 150,000; Full time

Job summary

Deutsche Bank AG in Berlin seeks a senior engineer to lead modernization and cloud migration of a major trading platform. You will design scalable APIs, drive React-based web interfaces, and collaborate with architects and product teams to deliver secure, compliant solutions.

You will mentor engineers, foster a high-performing culture, and ensure code quality, test coverage, and robust CI/CD pipelines across backend and frontend stacks.

Qualifications

• Experience with modern software architecture (microservices, event-driven systems, APIs, messaging middleware).
• Cloud technologies expertise (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Expertise in Java and React, with hands-on experience in both.
• Backend engineering: Java concurrency, multithreading, networking, JVM tuning, performance profiling.
• Designing and developing distributed, high-performance, and scalable systems.
• Ability to review, challenge, and improve designs and codebases across teams.
• Frontend engineering at scale: React, TypeScript, testing frameworks, performance optimization.
• Experience in CI/CD pipelines, DevOps, observability (logging, metrics, tracing).
• Ability to leverage AI tools to enhance productivity while ensuring responsible use of data and AI outputs.

Responsibilities

• Take a leading role in modernization and cloud migration of one of the world’s largest trading platforms
• Enforce architectural principles, coding standards, and best practices across backend and frontend teams
• Migrate backend services to the cloud ensuring scalability, resilience, and security
• Drive the design and development of modern React-based web interfaces and their integration with backend trading services
• Ensure compliance with international regulations and support audits, security assessments, and performance tests
• Collaborate with senior stakeholders, architects, and engineers across business and technology teams
• Mentor and guide other engineers, helping to build a high-performing development culture

Skills

Cloud native development

Frontend development with React

Java and React expertise

CI/CD and DevOps practices

High performance distributed systems

Tools

Docker

Kubernetes

AWS

GCP

Azure

TypeScript

APIs / Messaging middleware

Job description

• Take a leading role in the modernization and cloud migration of one of the world’s largest trading platforms
• Enforce architectural principles, coding standards, and best practices across backend and frontend teams
• Migrate backend services to the cloud ensuring scalability, resilience, and security
• Drive the design and development of modern React-based web interfaces and their integration with backend trading services
• Ensure compliance with international regulations and support internal and external audits, security assessments, and performance tests
• Collaborate with senior stakeholders, architects, and engineers across business and technology teams
• Mentor and guide other engineers, helping to build a high-performing development culture

• Solid knowledge of modern software architecture (microservices, event-driven systems, APIs, messaging middleware)
• Strong experience in cloud technologies (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes)
• Deep expertise in either Java or React, with strong hands-on experience in both
• Advanced knowledge of backend engineering (Java concurrency, multithreading, networking, JVM tuning, performance profiling)
• Proven track record of designing and developing distributed, high-performance, and scalable systems
• Ability to review, challenge, and improve designs and codebases of other engineers
• Strong understanding of frontend engineering at scale (React, TypeScript, testing frameworks, performance optimization)
• Experience in CI/CD pipelines, DevOps practices, observability (logging, metrics, tracing)
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs