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As a vital member of the Search PlatformTeam, you will be part of a specialized force that meticulously bridges the gap between business exigencies and architectural finesse. You will engage in: An advanced application infrastructure meticulously crafted to alleviate common challenges across the entire organization, significantly lowering maintenance costs for developers and streamlining innovation; Masterfully addressing intricate, organization-wide challenges through the strategic deployment of cutting-edge technologies such as distributed systems, vector databases and data pipeline solutions; Comprehensive, organization-wide evaluations of strategic solutions.
Job Responsibility:
Work closely with Product Managers to analyze the product requirements and then produce the technique solutions & execution plan to deliver the software products
Hands-on design, implement and deliver production-grade streaming ingestion using Flink (or similar technologies), focusing on low-latency, high-throughput, and fault-tolerant design
Tackle challenging problems in timely computation, stateful stream processing, partitioning, and resilience
Proactively troubleshooting and addressing technical bottlenecks
Participate in and contribute to critical code, design, and performance reviews, raising the technical bar across the team
Engage with the Technical leads in building a backlog that continuously contributes to the execution of the roadmap
Collaborate with local/global engineering teams, infrastructure teams, and product development teams and translate business requirements into robust engineering solutions
Requirements:
More than 7 years of back-end development experience
Have experience in developing large-scale distributed systems
Proficient in coding and scripting languages (Java(Kotlin) /C++ /Python, etc.) with strong software and system design abilities
Deep familiarity with the standard library, idiomatic usage, and best practices of your primary programming languages
Able to write clear, maintainable, and efficient code
In depth knowledge on storage & streaming over PostgreSQL or Kafka
Nice to have:
Experience on event driven architecture & parallelisation
Prior work on large-scale data processing pipelines and Search engine(e.g., using Kafka, Spark, or Flink & ElasticSearch)
Exposure to microservice architectures, observability, and cloud-native infrastructure (e.g., Docker, Kubernetes)
Experience integrating AI-powered search enhancements, such as embeddings, semantic search, or re-ranking models is a plus