Netcore Cloud - R&D Engineer in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role Summary :The Tech R&D Engineer at Netcore Cloud leads advanced research and innovation initiatives, evaluating emerging backend systems, databases, and AI-driven engagement technologies to incubate pioneering capabilities for a high-scale omnichannel marketing platform. This role focuses on technology scouting, deep benchmarking, experimental design, and technical analysis, with a strong emphasis on building proof-of-concept systems, conducting comparative evaluations of technology stacks, and driving the adoption of innovative engineering practices across Netcore's cloud https://jobeax.com/link/aVGYzAkvI1UJhlBL Responsibilities :- Conduct in-depth technical research and comparative benchmarking of backend systems and AI pipelines to identify opportunities for improving performance, reliability, and scalability.- Drive the systematic evaluation of new architectures (e.g., distributed systems, analytical databases, key-value stores, vector databases, and streaming platforms) through rigorous experimentation, scalability studies, and comprehensive technical documentation.- Lead the incubation and prototyping of emerging technologies, producing detailed analyses, design documents, and recommendations for organizational adoption and integration.- Continuously scout, evaluate, and analyze frontier technologies relevant to customer engagement, personalization, and real-time decisioning platforms, and present actionable insights to product and platform leadership.- Collaborate with engineering, data science, and product teams to assess build-versus-buy strategies for new capabilities, providing research findings and experimental evidence to support decision-making.- Develop proof-of-concept systems and experimental frameworks to validate and stress test innovative approaches in distributed messaging, AI/ML-driven personalization, and ultra-high-throughput computing.- Author white papers, RFCs, technical reports, and engineering articles to disseminate research findings across Netcore Engineering and the broader technology https://jobeax.com/link/F62gkz16lP2HLBAq Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with strong foundations in algorithms, distributed systems, and research methodologies.- 4 - 8 years of experience in backend engineering, systems research, or a related domain, with demonstrated expertise in evaluating, benchmarking, and analyzing large-scale system architectures and emerging https://jobeax.com/link/T08X3WP3qGUc4E8N Qualifications :- Hands-on contributions to open-source projects, research initiatives, or published technical papers related to distributed systems, databases, cloud platforms, or performance benchmarking.- Experience conducting comparative evaluations of technology stacks (e.g., messaging systems, databases, storage engines, and cloud runtimes), with strong skills in prototype development, experimental design, and data-driven analysis.- Familiarity with technology incubation and the process of evolving experimental prototypes into production-ready https://jobeax.com/link/gyzHmUMSVYBWR9jo and Technologies :- Extensive experience in GCP & AWS cloud platforms.- Proficiency in Java+Python (Rust/Golang adds value) for rapid technology prototyping and evaluation.- Deep understanding of event-driven systems, real-time analytics, Open table formats, and AI/ML integration patterns in cloud-native environments.- Deep understanding of Parquet/Avro/ORC file formats, Apache Data Sketches & Roaring Bitmaps.- Deep understanding in Data Structures & Algorithms.- Deep Understanding of Databases like Cassandra, MongoDB, Aerospike, Clickhouse, BigQuery, Snowflake, Druid, Vector & Graph Databases like Apache Neo4j, TigerGraph.- Experience in building Data Platforms/Pipelines: Databricks, Apache Iceberg, Apache Hudi, Apache Kafka, Apache Spark, Apache Flink, Apache Trino, Apache Polaris/Project Nessie, Alluxio.- Extensive experience with system benchmarking tools (YCSB, Sysbench, HammerDB), profiling frameworks, and cloud-native instrumentation https://jobeax.com/link/6Z3Y14hlbdnYzjkt Metrics :- Number of successful experimental prototypes incubated and adopted by engineering teams.- Published benchmarks, whitepapers, or technical reports that inform strategic technology decisions.- Measurable improvements in platform scalability, reliability, or engagement attributed to research findings and new tech integrations. (ref:hirist.tech)