Lead Software Engineer
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Tech Lead / Lead Software Engineer (m/f/d)</strong></p><p><br/></p><p><br/></p><p>📍 Berlin (Hybrid) | Permanent Position | Start ASAP (up to 3 months notice accepted</p><p>)We are supporting an innovative software company that develops advanced cloud-based platforms used to optimise commercial decision-making through large-scale data processing, analytics and intelligent automation. As part of continued growth, they are looking for an experienced Tech Lead to drive the technical direction of a business-critical platform while remaining hands-on in architecture and development</p><p><br/></p><p>Your Responsibiliti</p><ul><li>esLead and mentor a team of software and data enginee</li><li>rsDefine the technical vision and roadmap for a large-scale cloud platfo</li><li>rmDesign and implement scalable, high-performance distributed syste</li><li>msDrive architectural decisions across backend, data and cloud infrastructu</li><li>reDevelop production-grade applications using Java and Pyth</li><li>onBuild and optimise data pipelines and processing framewor</li><li>ksEnsure engineering best practices, code quality and CI/CD standar</li><li>dsCollaborate closely with Product, Data and Business teams to deliver impactful solutio</li><li>nsBalance delivery speed, scalability and long-term maintainability</li></ul><p><br/></p><p>Your Background</p><ul><li>Degree in Computer Science, Software Engineering or a related discipl</li><li>Strong commercial experience with Java and Python</li><li>Proven track record designing enterprise-scale software systems</li><li>Deep knowledge of AWS cloud technologies</li><li>Experience with APIs, microservices and distributed architectures</li><li>Strong understanding of data engineering, ETL and large-scale data processing</li><li>Previous experience leading engineering teams and driving technical strategy</li><li>Familiarity with Agile development environments and DevOps practice</li></ul><p><br/></p><p>Nice to</p><ul><li>HaveDocker and Kubern</li><li>etesSpark / PyS</li><li>parkMachine Learning or optimisation-based sys</li><li>temsExperience within SaaS, eCommerce, FinTech, TravelTech or other data-intensive environments</li></ul><p><br/></p><p>What's on Offer</p><ul><li>Permanent position based in Berlin</li><li>Flexible hybrid working model</li><li>Modern engineering culture with flat hierarchies</li><li>International environment with strong career progression opportunities</li><li>Access to training, learning programmes and professional development</li><li>Opportunity to shape a highly scalable platform used by global customers</li></ul><p></p> </div>