Top Software Engineer Jobs in Berlin

Own and evolve the platform that turns research models and data into reproducible, auditable client deliverables. Lead Python-based data infrastructure, CI/CD, pipeline orchestration, GCP architecture, infrastructure-as-code, monitoring, access management, and geospatial workflows. Review designs, establish engineering standards, mentor engineers, and coordinate infrastructure priorities. The role also involves production data systems, schema design, model versioning, containers, observability, and collaboration with software, data, science, and solutions teams.

Lead the technical direction and architecture of the Index Setup platform. Design and deliver scalable, secure solutions across backend, frontend, data, infrastructure, APIs, and distributed services. Drive complex initiatives from ambiguous requirements through implementation, improve engineering standards and processes, conduct code and design reviews, mentor engineers, and collaborate with product and business stakeholders to deliver maintainable, high-impact solutions.

Design and build Go services for Telnyx’s serverless platform, function deployment pipeline, global control plane, and edge infrastructure. Own backend APIs, resource lifecycles, workload deployment, asynchronous workflows, observability, and reliability. Work with Kubernetes, distributed systems, relational databases, and multi-region services. Improve developer experience through APIs, CLI tooling, and clear error handling, while participating in on-call and diagnosing production performance and reliability issues.

Lead development of Weflow’s Revenue AI Platform, including deep integrations, AI-driven workflows, scalable customer-facing features, and automated development processes. The role involves solving complex engineering challenges, shaping platform architecture, supporting a growing SaaS customer base, and collaborating across EU working hours.

Design and develop scalable production applications while applying an AI-first engineering approach. Build AI-powered internal tools and workflows, integrate LLM APIs, and use GenAI tools to improve coding, testing, documentation, reviews, and operations. Coach engineering teams on effective GenAI adoption, establish safe usage practices, run data-informed experiments, and turn successful approaches into repeatable standards. The role also contributes to technical direction, software quality, performance, observability, and long-term platform stability.

Build and scale production-ready web platforms, systems, and MVPs for fast-growing businesses. Deliver performant frontend and backend features, advise on architecture and technology choices, create design systems, write clean testable code, and support nearshore engineering teams. The role requires adapting across technologies and projects, collaborating with product stakeholders, conducting code reviews, and improving engineering workflows.

Lead the payments engineering function, combining people leadership with hands-on technical direction. Own architecture and delivery for payment authorization, capture, refunds, payouts, reconciliation, KYC, disputes, invoicing, and marketplace integrations. Drive reliability, security, observability, testing, incident response, and compliance while growing the team and partnering with Product, Finance, Legal, Compliance, Support, and Operations.

Own customer-facing products end to end, from customer discovery and technical direction through implementation, testing, deployment, and business impact. Design and operate high-load systems handling millions of requests and thousands of CPU cores, while building agent evaluations and guardrails. Help establish AI-native engineering practices across the company, collaborate with sales and operations, document decisions clearly, and contribute hands-on as an individual contributor in a remote EMEA-based team.

Build and operate backend microservices and APIs for customer onboarding, identity verification, compliance, payments, and risk assessment. Collaborate with product teams, Salesforce experts, and regulatory technology vendors. Design reliable, scalable systems using event-driven architectures, cloud platforms, containerization, observability, and modern delivery practices while maintaining regulatory compliance and avoiding over-engineering.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Build and operate secure, scalable payment services and third-party integrations while developing AI-powered and agentic workflows. Responsibilities include payment processing, reconciliation, settlement, tool calling, retrieval, permissions, guardrails, observability, testing, performance optimization, and technical architecture. The role requires Golang, production software engineering, distributed systems, databases, REST APIs, payment or POS integrations, LLM applications, and secure AI development practices.

Build and operate GetYourGuide’s internal agentic platform for engineering teams. Develop agent tooling, evaluation and observability systems, tracing, quality metrics, feedback loops, and guardrails. Shape workflows for defining, testing, monitoring, and optimizing agents; make architectural decisions; write RFCs; collaborate across teams; and mentor engineers. Requires strong TypeScript and Go skills, distributed systems and cloud-native experience, production LLM development, and technical leadership.

Design, build, and operate Chainguard’s container product, including registry features, image build pipelines, distribution systems, adoption tooling, and customer-facing services. Own projects end to end, make product trade-offs, collaborate with customers and product managers, improve observability and reliability, support on-call operations, and use AI coding agents safely. The role requires systems thinking across containers, registries, build infrastructure, and customer clusters in a remote-first environment.

Develop and enhance ASIP Designer tools spanning compiler technology, processor modeling, RTL generation, simulation, verification, applications engineering, and AI-assisted processor development. Responsibilities may include LLVM-based compiler optimization, instruction-set simulation, Verilog/VHDL generation, formal verification, customer technical support, and AI-enabled engineering features.

Design, automate, deploy, monitor, and operate highly available payment infrastructure and microservices. Build infrastructure-as-code, testing frameworks, monitoring solutions, and reliability improvements while troubleshooting production systems, collaborating with engineering teams, and mentoring others on SRE practices.

Provide technical leadership for Firefox Enterprise services and infrastructure. Develop administration and monitoring tools, improve security and enterprise deployment usability, integrate Firefox with remote services, and advise on roadmap priorities. Collaborate with geographically distributed engineering teams while building robust services using modern software engineering practices, databases, Rust, and JavaScript.

Build and operate production-scale foundational intelligence and customer-facing recommendation experiences for Zalando. Develop reliable cross-platform mobile applications using React Native, TypeScript, and React; collaborate with product, design, science, and engineering teams; contribute to CI/CD, monitoring, observability, security, GDPR compliance, testing, and production issue resolution.

Develop and maintain business-critical financial services using Kotlin, Java, and Spring Boot. Collaborate with cross-functional teams while learning Domain-Driven Design, automated testing, CI/CD, cloud-native AWS development, infrastructure as code, observability, and secure software practices. Contribute to reliable, compliant production workflows through clean, maintainable code, code reviews, monitoring, and continuous improvement.

Build and scale a large AI companionship platform as a senior backend or full-stack engineer. Responsibilities include reviewing specifications with Product, preparing integration plans and estimates, implementing Ruby on Rails features, testing, code reviews, pull requests, and collaborating with product, web, SRE, and data science teams. The role emphasizes ownership, fast delivery, user experience, experimentation, and large-scale product development.

Lead hands-on engineering engagements with strategic enterprise customers to diagnose and resolve complex Windows deployment, management, update, application, performance, reliability, and security issues. Develop scripts, automation, tools, prototypes, and reusable solutions; collaborate with Windows and Intune engineering teams on product improvements; and translate customer-specific resolutions into scalable guidance, playbooks, and technical products.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Build and maintain reliable, scalable cloud-native microservices for automotive connectivity systems. Develop secure REST and gRPC APIs, asynchronous processing, and high-throughput data services using Java, Kotlin, AWS, Kubernetes, serverless technologies, and event-driven architectures. Responsibilities include deployment automation, performance optimization, testing, code reviews, troubleshooting, monitoring, and evaluating NoSQL, caching, and relational data solutions.

Software Engineering Interns will build reliable, secure cloud software and services while gaining hands-on experience with database internals, distributed systems, cloud infrastructure, compilers, query execution, streaming pipelines, and SQL. The role requires foundational knowledge of algorithms, data structures, and operating systems; programming experience in C++ or Java; and familiarity with multithreading and concurrency. Interns collaborate with experienced teams on real-world projects and must remain enrolled in a technical degree program.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Senior software solutions engineer responsible for resolving complex Ethernet and InfiniBand adapter/DPU issues, developing tooling and features, collaborating with customers and engineering, and improving reliability and experience of NVIDIA networking products. Role mixes 50% customer support/issue ownership and 50% R&D.