Join a technology-driven business investing in the scalability, performance and evolution of its core digital platform. This is an opportunity to take ownership of complex engineering challenges, shape technical architecture and make a tangible impact on systems operating at scale.
You’ll work in a hands-on capacity, combining backend engineering with infrastructure and performance optimisation, with the freedom to influence technical decisions and drive improvements from design through to production.
Your Responsibilities
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Design and optimise scalable backend systems and distributed architectures.
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Manage and improve search infrastructure, including cluster configuration, indexing pipelines and production operations.
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Optimise query performance, relevance, latency and system reliability.
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Build and maintain data ingestion and processing pipelines.
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Identify and resolve complex performance, scalability and availability issues.
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Contribute to architectural decisions, code reviews and engineering best practices.
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Collaborate with product and engineering teams to deliver robust technical solutions.
Your Experience
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Extensive hands-on experience with Elasticsearch or comparable search technology, ideally including cluster setup, administration and performance tuning.
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Strong understanding of distributed systems, infrastructure, scalability and high availability.
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Experience developing data ingestion, indexing and processing pipelines.
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Strong programming skills in Java and/or Python, ideally with Spring Boot.
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Experience operating high-traffic production systems in eCommerce, SaaS or similar environments.
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A proactive approach to problem-solving, technical ownership and continuous improvement.
Desirable: Experience with search relevance, ranking, semantic search, vector embeddings or machine learning applications.
Working Arrangement
Germany-based, with a hybrid working model and flexibility depending on location and business requirements. Permanent and contract engagements may be considered.
