Search backend engineer in ecommerce

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people. Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together, they are the engine of commerce innovation today.

• Design and implement search functionalities in a PaaS ecommerce Scala backend
• Develop search capabilities that combine lexical, semantic, and hybrid retrieval
• Develop search-related libraries based on ElasticSearch and MongoDB
• Contribute to search relevance and quality, and to how we measure it
• Run and maintain a scalable search "infrastructure as code" on top of Kubernetes using terraform and multi-tenant architecture
• Test software components regarding usability, functionality, and performance, and work closely with Product Management and DevOps
• Learn Scala and functional programming as your new main development tools
• Take part in on-call rotation with a worldwide distributed team for production systems

• At least 5 years of experience as a Software Engineer, with production experience on the JVM
• Solid understanding of parallel and asynchronous programming, as well as non-blocking I/O
• Experience developing REST APIs and knowledge of scalable architectures, including sharding, replication, load balancing, and failover
• Interest in working with Scala using pragmatic functional programming patterns. If you come from another JVM language, we will support you in picking it up.
• Fluent English for work in international teams
• Experience operating multi-tenant SaaS where one tenant's load must never affect another's
• Knowledge of scalable event-driven architectures, including queues and notification topics
• A genuine curiosity for using AI tools to work smarter and more effectively, paired with a drive to learn and put them into practice in your role.
• Будет плюсом: Hands-on search experience, preferably ElasticSearch or OpenSearch, including a working understanding of how an inverted index scores and ranks documents; Practical exposure to vector retrieval, such as embeddings, approximate nearest neighbor indexes, and hybrid ranking, and a sense of where each approach breaks down. A deep lexical search background plus a clear appetite to go into this territory also works; Comfort reasoning about relevance with data, including precision and recall tradeoffs, ranking metrics, and behavioral signals; Experience with infrastructure work and other technologies like Helm, Kubernetes, and Rust

• Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support
• Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs
• Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition
• Our equity participation program allows you to share in our success