Top Software Engineer Jobs in Berlin

As a Software Engineering evaluator, you will curate code examples and evaluate AI-generated code for efficiency while collaborating with cross-functional teams to enhance AI-driven solutions.

Develop and maintain PIX4Dmatic desktop application: implement full-stack features from QML UI to backend C++ logic, integrate photogrammetry/image-processing algorithms, participate in agile estimation and sprints, ensure code quality, and troubleshoot performance and defects.

Join Enpal Financial Services to build and scale web applications for financing solar, storage, and EV infrastructure. Work full-stack with a strong frontend focus using React and TypeScript, contribute to Node.js backend services (NestJS a plus), and operate on AWS with PostgreSQL. Develop user-facing and internal B2B2C tools, collaborate with product and design, and help deliver impactful energy+fintech products.

Own and scale core product systems end-to-end: design and implement scalable backend services (NestJS/Node.js), build frontend experiences (Next.js/React), model data in MongoDB, integrate APIs, manage CI/CD and infrastructure as code, monitor and optimize production systems, mentor engineers, and drive architectural decisions.

Build and own Python backend systems that orchestrate multi-provider AI model pipelines for generating music videos. Improve reliability, latency, and cost, instrument production systems, contribute to prompt engineering, model evaluation, and fine-tuning, and collaborate on architecture and new product surfaces.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Design and build cloud-native, scalable platform services for an AI-enabled insurance system. Architect distributed microservices on AWS, design APIs and data models, use AI-assisted tools to accelerate development, mentor engineers, and improve platform reliability, infrastructure, and developer productivity.

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

The Backend Engineer will design scalable infrastructure for AI research tools, collaborate on optimizing system performance, and own evaluation pipeline automation.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Design and build scalable backend systems for PlanetScale's database platform (Vitess/Postgres), collaborate on distributed systems challenges, work autonomously and with customers, optimize performance, and mentor engineers while operating systems at production scale.

Lead platform bring-up and validation of Wayves AI stack on automotive hardware. Port and configure Linux/QNX/AUTOSAR systems, integrate drivers and middleware, automate flashing and tests, and collaborate with OEMs, Verification, and Release teams to ensure robust CI/CD and hardware integration.

Develop and maintain ABAP solutions in S/4HANA Cloud, own features and interfaces, integrate SAP with Make/Node/Python/Retool and the data warehouse, work directly with Finance stakeholders, investigate root causes, and learn modern SAP patterns (RAP, BTP, Released APIs).

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Design, develop, test, and integrate embedded robotic control software for lift trucks. Create system and component requirements, simulate and verify software, collaborate globally on electrical and software architectures, support manufacturing and aftermarket, lead code/design reviews, mentor junior engineers, and liaise with technology suppliers to ensure quality, reliability, and performance.

Build and maintain backend integrations and production features for Enode's Connect platform. Work on Node/TypeScript and AWS-based services to support EV charging and home energy systems, collaborate with product and commercial teams, debug and improve services, participate in code reviews, and translate customer needs into reliable technical solutions.

Build and iterate on practice-first learning experiences and AI tutor features. Contribute to architecture, review code, debug and unblock teammates, and collaborate closely with Product and Design to deliver high-quality learning products.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

Build and operate services and tooling that automate network lifecycle, make network changes safe (CI/CD, rollouts, audit trails), develop scalable observability and telemetry, integrate network source-of-truth with platform APIs, and collaborate with network engineers and SREs to turn operational pain into production-grade automation.

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

Design, implement, and maintain cross-platform C++ features for Multipass on macOS and Windows. Lead architecture, mentor peers, write high-quality tested code, review contributions, debug user issues, collaborate with a distributed team, engage the open-source community, and support customers.

Contribute to desktop and cloud reality-capture software by implementing features and bug fixes in C++. Write clean, tested code, assist debugging, participate in code reviews and Agile ceremonies, and use tools like Git, JIRA, and CI/CD while learning from senior engineers.

Design and build backend services, cloud-native infrastructure, data pipelines and AI deployment workflows for an edge-to-cloud industrial AI platform. Work with founders, ML/CV engineers and pilot factories to deploy, monitor and scale production-grade systems, dashboards, and sustainability KPIs.