{"id":1230406,"url":"https://alion.io/job/netcore-cloud-rd-engineer","title":"R&D Engineer","company":{"id":59452,"name":"Netcore Cloud","domain":"netcore.ai","url":"https://alion.io/company/netcore-cloud","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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BigQuery","optional":true},{"name":"Java","optional":true},{"name":"Neo4j","optional":true},{"name":"Python","optional":true},{"name":"Rust","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-09-18T12:15:44Z","employer_posted_date":null,"last_verified_at":"2026-09-18T12:15:44Z","board_verified":false,"closed_at":null,"days_open":23,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":23},"description":"Role Summary :\n\nThe 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. \n\nThis 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 infrastructure.\n\nKey Responsibilities :\n\n- Conduct in-depth technical research and comparative benchmarking of backend systems and AI pipelines to identify opportunities for improving performance, reliability, and scalability.\n\n- 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.\n\n- Lead the incubation and prototyping of emerging technologies, producing detailed analyses, design documents, and recommendations for organizational adoption and integration.\n\n- 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.\n\n- 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.\n\n- 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.\n\n- Author white papers, RFCs, technical reports, and engineering articles to disseminate research findings across Netcore Engineering and the broader technology community.\n\nMinimum Qualifications :\n\n- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with strong foundations in algorithms, distributed systems, and research methodologies.\n\n- 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 technologies.\n\nPreferred Qualifications :\n\n- Hands-on contributions to open-source projects, research initiatives, or published technical papers related to distributed systems, databases, cloud platforms, or performance benchmarking.\n\n- 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.\n\n- Familiarity with technology incubation and the process of evolving experimental prototypes into production-ready solutions.\n\nTools and Technologies :\n\n- Extensive experience in GCP & AWS cloud platforms.\n\n- Proficiency in Java+Python (Rust/Golang adds value) for rapid technology prototyping and evaluation.\n\n- Deep understanding of event-driven systems, real-time analytics, Open table formats, and AI/ML integration patterns in cloud-native environments.\n\n- Deep understanding of Parquet/Avro/ORC file formats, Apache Data Sketches & Roaring Bitmaps.\n\n- Deep understanding in Data Structures & Algorithms.\n\n- Deep Understanding of Databases like Cassandra, MongoDB, Aerospike, Clickhouse, BigQuery, Snowflake, Druid, Vector & Graph Databases like Apache Neo4j, TigerGraph.\n\n- Experience in building Data Platforms/Pipelines: Databricks, Apache Iceberg, Apache Hudi, Apache Kafka, Apache Spark, Apache Flink, Apache Trino, Apache Polaris/Project Nessie, Alluxio.\n\n- Extensive experience with system benchmarking tools (YCSB, Sysbench, HammerDB), profiling frameworks, and cloud-native instrumentation stacks.\n\nImpact Metrics :\n\n- Number of successful experimental prototypes incubated and adopted by engineering teams.\n\n- Published benchmarks, whitepapers, or technical reports that inform strategic technology decisions.\n\n- Measurable improvements in platform scalability, reliability, or engagement attributed to research findings and new tech integrations.\nSkills\nR&D, Google Cloud Platform, Distributed Systems, Snowflake DB, MongoDB, VectorDB, Apache Spark, Apache Flink, Data Structure, Algorithm, Graph DBMS","description_format":"text","description_chars":4564,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Email 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