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We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do Were looking for Senior Software Engineers to lead the design and evolution of a state-of-the-art Search Platform that combines traditional information retrieval with modern AI and LLM-driven capabilities. The systems we build span web-scale indexing, hybrid retrieval (keyword + vector), and advanced ranking systems, delivering low-latency results across massive and heterogeneous datasets. You will play a key role in shaping the technical vision for search, driving innovations in relevance, performance, and scalability. This role requires deep technical expertise, strong system design skills, and the ability to influence architecture and execution across teams. You will partner closely with engineering, product, and data science to deliver impactful improvements to search quality and platform capabilities. Value You Deliver Architect and build highly scalable, low-latency distributed search systems Design and optimize large-scale indexing pipelines and retrieval systems Drive hybrid search architecture (BM25 + vector search + LLM-based reranking) Lead design and development of backend services and REST APIs using Java and Spring Build real-time and batch data pipelines using streaming frameworks Design event-driven architectures leveraging message brokers such as Kafka Improve search relevance and ranking quality using ML/NLP and LTR techniques Identify and resolve performance bottlenecks across indexing and query layers Define search quality metrics, evaluation frameworks, and experimentation strategies Ensure system reliability, scalability, and fault tolerance using distributed system best practices Own end-to-end lifecycle of microservices (design, development, deployment, operations) Implement security best practices (authentication, authorization, data protection) Lead technical design discussions and influence architectural decisions Mentor engineers through code reviews, design guidance, and best practices Collaborate cross-functionally with Product, Data Science, and AI teams What you bring Education & Experience Bachelors or Masters degree in Computer Science or related field 8+ years of experience in backend or distributed systems development 5+ years of hands-on experience with large-scale data processing or streaming systems Technical Skills Core Programming & System Design Deep expertise in Java (Java 11/17+) and JVM ecosystem Expert-level knowledge of Spring Framework (Boot, MVC, Security, Retry) Strong understanding of concurrency, multi-threading, and performance optimization Proven experience designing scalable, fault-tolerant distributed systems Search & Information Retrieval Strong experience with search technologies (Solr / Elasticsearch / OpenSearch / Lucene) Deep understanding of indexing strategies, query execution, and relevance tuning Experience with hybrid retrieval (keyword + vector + semantic/LLM reranking) Hands-on experience with Learning to Rank (LTR), query understanding, and personalization Stream Processing & Distributed Systems Extensive experience with Apache Beam, Spark, or Storm Strong understanding of event-driven architectures and streaming pipelines Knowledge of processing semantics (exactly-once, at-least-once), windowing, and state management Data Storage & Persistence Strong expertise in NoSQL systems (preferably Cassandra) Experience with multi-tenant architectures and high-throughput systems Understanding of consistency models and distributed data design Familiarity with document stores and schema design Messaging & Event Systems Production experience with Kafka or similar systems Understanding of event sourcing, CQRS, and backpressure handling Security & Cloud Experience with OAuth and service-to-service authentication Knowledge of encryption (in transit and at rest) and KMS Familiarity with Kubernetes and containerized environments Experience with CI/CD pipelines (Jenkins, Maven) Testing & Quality Strong experience with unit, integration, and distributed system testing Familiarity with JUnit, Mockito, and embedded test frameworks Understanding of testing strategies for distributed systems Value Competencies Drives technical vision and architectural decision-making Balances immediate delivery with long-term platform evolution Demonstrates strong ownership .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.