Top Software Engineer Jobs in Berlin

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

As a Software Engineer, you will enhance Ubuntu's cloud infrastructure, automate image delivery, and collaborate with cloud giants, delivering high-quality software features.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Seeking an experienced AWS Software Engineer to help migrate services to a new platform, focusing on reliability, scalability, and security, while managing CI/CD pipelines and infrastructure.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Build and operate stateful streaming pipelines and Go services that process usage events into accurate, near-real-time billing data. Responsibilities include ingestion, validation, enrichment, pricing, storage integration, usage APIs, billing exports, failure recovery, idempotency, exactly-once processing, reconciliation, scalability, observability, and deployment ownership.

Design and build distributed backend services for the cloud monetization platform, focusing on correctness, consistency, scalable microservices, distributed transactions, and reliable asynchronous workflows. Influence system architecture, own service implementations, and collaborate across teams to support billing, reservations, payments, and revenue flows.

Develop, test, integrate, and support robotic controls software for automated lift trucks in an embedded environment. Responsibilities include vehicle control communication, simulation, requirements development, software and electrical architecture, code and design reviews, supplier leadership, manufacturing support, and mentoring entry-level engineers. The role requires C/C++ development, robotics sensors and SLAM experience, embedded control systems, network communications, and MATLAB/Simulink/Stateflow expertise. Occasional travel may be required.

Design and build robust production systems across distributed execution, storage, secure compute, inference, and scheduling. Solve correctness, performance, reliability, and cost tradeoffs; operate what you build; measure workloads, identify bottlenecks, and deliver measurable improvements in multi-cloud Kubernetes environments.

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.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Develop enterprise applications and workflows using Microsoft Power Platform and ServiceNow. Build REST API integrations, data pipelines, dashboards, and AI-assisted automation solutions. Conduct technical discovery with mission stakeholders, translate operational needs into specifications, prototype solutions, and maintain CI/CD pipelines, documentation, data models, and system reliability. The role requires an active Secret clearance, ability to obtain TS/SCI, and relocation to Stuttgart, Germany.

Build and lead development of Snowflake Dynamic Tables, a declarative SQL data platform for enterprise customers. Responsibilities include defining technical capabilities, shaping roadmaps through customer insights, delivering reliable and performant software, solving large-scale performance and fault-tolerance challenges, and ensuring operational readiness. The role requires deep expertise in distributed data systems and query compiler internals, strong computer science fundamentals, and collaborative technical leadership.

Design and build durable, distributed data-streaming infrastructure that decouples process data from Camunda’s live execution engine. Develop customer-facing integrations such as Kafka connectivity, support analytics data consumption at scale, and make architecture decisions around consistency, durability, and storage. Participate in production support and on-call rotations while collaborating with Product, Data Layer, Distributed Systems, QA, SRE, and Support teams. Lead ambiguous, cross-functional engineering initiatives from design through delivery.

Build and maintain Camunda 8 backend data-layer services spanning relational databases and Elasticsearch/OpenSearch. Design scalable storage, query, retention, and streaming systems; improve performance, indexing, and production tooling. Lead engineering initiatives from solution design through delivery, collaborate across teams, provide L3 support, and participate in on-call rotations. Investigate production data issues and contribute to schema evolution, workflow automation, and CI improvements.

Build and productionize tooling for compiling complex Python packages such as NumPy, SciPy, and PyTorch. Develop conda recipes, build automation, and release processes across Linux, macOS, and Windows. Collaborate with packaging and distribution teams, mentor engineers, lead incident response and postmortems, plan capacity, and advise technical leadership on architecture and delivery tradeoffs. Improve package catalog growth, pipeline reliability, automation, and incident resolution.

Design, build, and maintain resilient, scalable backend services for Network API, xSIM Management and Recording Platforms. Implement features, maintain code quality and tests, improve observability, participate in code reviews, and own end-to-end delivery.

Build and maintain the control planes, automation, and observability for a global fleet of machines. Develop production-quality Go services for provisioning, health checks, upgrades, and incident remediation. Architect high-throughput, low-latency networking, improve utilization and power-to-performance, and collaborate with product and platform teams on storage-aware scheduling and developer-facing features.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

Lead end-to-end development of LLM-powered agents for security operations workflows. Design tools, prompts, context, evaluations, guardrails, and autonomy decisions while balancing accuracy, cost, latency, and human oversight. Own technical delivery, influence architecture, maintain engineering quality, mentor engineers, participate in hiring, and collaborate closely with security analysts and customers. The role is remote in the Netherlands or Berlin, with office attendance twice weekly.

Build and maintain hardened Ubuntu-based container images and the automated CI/CD pipelines to build, test, scan, sign, publish, and retire them. Integrate upstream open-source projects, ensure security and cloud-native compatibility, collaborate with cross-functional teams, document and share knowledge, mentor colleagues, and contribute to hiring. Work in a distributed agile environment with occasional travel.

The Software Engineer at Helsing will develop AI-based capabilities, maintain software stacks, mentor peers, and collaborate on tech solutions to support mission-critical projects.

Own and build the production Android client using Kotlin, integrating AI features (chat, vision, voice), optimizing performance and memory, designing AI UX patterns, implementing analytics/logging, and collaborating with backend and ML engineers to ensure stability, security, and scalability.