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Staff software Engineer at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 9 years. Location: India. JobType: full-time. We are looking for an experienced . Staff Software Engineer. to play a critical role in designing, building, and scaling next-generation . data lake and query processing platforms. . This role is ideal for a hands-on technical leader who thrives in complex, distributed systems and enjoys solving large-scale data challenges. You will work closely with platform, infrastructure, and product teams to deliver high-performance, reliable, and scalable data systems that power analytics, real-time processing, and business intelligence across the organization.. As a Staff Engineer, you will influence architectural decisions, drive technical excellence, and mentor senior engineers while remaining deeply involved in coding and system design.. Key Responsibilities. Design, develop, and evolve . large-scale data lake architectures. supporting batch and real-time workloads. . Build and optimize . query engines. for high-throughput, low-latency analytics over massive datasets. . Lead the implementation and optimization of . Apache Iceberg. for table management, schema evolution, partitioning, and transactional consistency. . Design and maintain . streaming and event-driven systems. using . Kafka. , ensuring fault tolerance, scalability, and data reliability. . Develop high-performance backend services and data processing components using . Java, Scala, and C++. . . Drive architectural reviews and make data-driven decisions around storage formats, indexing strategies, and query execution plans. . Collaborate closely with data engineers, infrastructure teams, and product stakeholders to translate business needs into scalable technical solutions. . Ensure system reliability through robust testing, monitoring, and performance tuning. . Mentor and guide engineers across teams, setting best practices for coding, system design, and operational excellence. . Take ownership of complex technical problems and lead them from design through production deployment. . Required Skills & Qualifications. . 9–13 years. of experience in software engineering with a strong focus on . distributed systems and data platforms. . . Deep expertise in . Data Lake technologies. and large-scale data processing architectures. . Strong hands-on experience with . Apache Iceberg. , including table formats, metadata management, and performance optimization. . Solid understanding of . query engines. (distributed SQL engines, query planners, execution frameworks). . Extensive experience with . Kafka. and streaming data pipelines. . Excellent programming skills in . Java and Scala. ; strong proficiency in . C++. for performance-critical systems. . Strong knowledge of concurrency, memory management, and performance tuning in distributed environments. . Experience working with cloud-based or on-premise big data ecosystems. . Nice to Have. Experience with open-source contributions in data or query systems. . Exposure to other table formats or query engines (e.g., Hive, Presto, Trino, Spark). . Strong system design and technical leadership background. . Company Location: India.