Top Software Engineer Jobs in Berlin

Build and maintain Grammarly's macOS product: design robust architecture, implement complex UI/UX with Swift/AppKit/CoreGraphics, optimize performance and latency for large documents, and develop shared Apple platform components while applying strong engineering best practices.

As a Full-Stack Software Engineer at Superhuman, you'll develop core product features, mentor new hires, and improve internal tools focusing on user experience and system scalability.

As a Full-Stack Engineer at Superhuman, you will develop core product features, enhance user experience, and collaborate across teams to drive impact.

Build and maintain developer-facing tooling, GitLab CI pipelines, and automation for scalable map rendering services. Implement Python/Go/Bash automation, optimize pipeline performance, debug build/test/release workflows, and collaborate across teams to improve developer productivity and delivery reliability.

Build and maintain customer-facing product features across frontend and backend. Collaborate with PM and design, use AI-assisted tools responsibly, write maintainable tests, debug and improve production systems, and shape architecture and engineering practices.

Join an agile team building scalable, event-driven microservices for partner-facing products. Develop Java/Spring Boot services, design REST APIs, own deployment and operations in AWS/Kubernetes, work with Gradle and CI/CD, and collaborate across the stack to deliver reliable features.

As a Fullstack Software Engineer, you will design and implement software solutions using Kotlin and TypeScript with React, focusing on optimizing transport planning at Zalando. Responsibilities include developing features, collaborating with teams, and improving the code base.

The Senior Software Engineer will own the payment experience at Perk, focusing on system architecture, mentorship, and leading cross-functional projects to optimize the payments product for users and internal teams.

As a Senior Software Engineer, you will design and optimize business logic for real-time ad serving, collaborating with Product to enhance ad delivery and performance.

As a Staff Software Engineer, you will lead the design of distributed systems for expense management, mentor engineers, and drive technical strategy.

Design, build and operate business-critical clearing and settlement backend services using Kotlin/Java and Spring Boot. Develop cloud-native, containerised and serverless applications on AWS (ECS, Lambda), implement event-driven systems and APIs, and ensure reliability with CI/CD, infrastructure-as-code, automated testing and observability. Own features from idea to production, apply Domain-Driven Design in cross-functional agile teams, and raise engineering quality, automation and operational standards for compliant financial workflows.

Design and build complex, business-critical data pipelines and tooling; expand Deep Learning and LLM extraction for clinical insights; collaborate with clinicians, product, and scientists; shape team roadmaps and grow European engineering; iterate rapidly while maintaining quality, security, and compliance with healthcare data requirements.

Responsible for designing, developing, and maintaining software applications, writing efficient code, troubleshooting issues, and collaborating with teams.

Design, build, and operate backend services for an AI-driven financial assistant. Own full SDLC, ensure performance, scale, resilience, and collaborate in small autonomous teams.

Build and maintain high-performance, low-latency ad marketplace services: decompose and deliver features, write maintainable code and automated tests, operate production (metrics, tracing, alerts), and collaborate with product, analytics, and MLOps to support experimentation and campaign success.

Develop and maintain backend services, mentor team members, support data scientists in ML model deployment, and improve software architecture.

Build and maintain a mission-critical fullstack platform for renewable energy operators: design APIs, implement frontend and backend features (Node.js, React), handle real-time telemetry ingestion/alerting, troubleshoot production issues using Grafana/Prometheus, and own a platform area end-to-end within an agile team.

Design, implement and maintain test automation solutions for API/microservice-based flight search, booking and payment systems. Build automated test suites, translate manual regressions to scripts, set up CI/CD test environments, lead large-scale testing efforts, and collaborate with engineers and product teams to ensure product quality.

As a Software Engineer in Payments, you'll manage the full software lifecycle, develop payment solutions, mentor newer engineers, and collaborate closely in an Agile environment.

Build, optimize, and maintain a Rust-based real-time ML inference engine and SDK for Voice AI. Work on model execution, DSP modules, cross-platform bindings (C/C++, Python, WASM), performance profiling, testing, and tooling to ensure low-latency, reliable audio inference across platforms and runtimes.

Own product discovery and development: speak with users, prototype in production, build frontend/backend and AI features, deploy, iterate using analytics. Examples include daily quiz systems, AI extraction pipelines, and custom multi-institution authorization engines.

Build and maintain a production SaaS web product across the full stack: React/TypeScript front end (including 3D viewer components), NestJS back end and public APIs, integrations with ML services and third parties. Ensure code quality, security (auth, encryption, auditability), testing, and CI/CD. Collaborate with Product, CTO, and ML team to translate requirements into maintainable technical solutions.

Design, build, and operate large-scale distributed data systems and real-time/batch data pipelines. Collaborate with product, infrastructure, and data science teams, contribute to architecture and roadmaps, and write clean, tested production-quality code.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Own and improve the RustRover debugger across a C++ OS-specific backend (LLDB/GDB) and a Kotlin/Java IntelliJ client. Implement run/debug configs, enhance Rust expression evaluation, diagnose OS-specific C++ crashes, and design maintainable, well-tested debugger code while collaborating with QA and support.