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R&D Engineer

3 - 7 years

20 - 30 Lacs

bengaluru

Posted:1 day ago| Platform: Naukri logo

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Skills Required

golang kafka mongodb aws python java hammerdb sysbench bigquery cassandra redshift ycsb apache storm druid aerospike vertica vector

Work Mode

Work from Office

Job Type

Full Time

Job Description

Tech R&D Engineer Research & Innovation Focus

Role Summary

The Tech R&D Engineer at Netcore Cloud leads advanced research and innovation initiatives, deeply evaluating emerging backend and AI engagement technologies to incubate pioneering capabilities for high-scale omnichannel marketing platforms. This role emphasizes technology scouting, deep benchmarking, experimental design, and technical analysisbuilding proof-of-concept systems, driving comparative studies on tech stacks, and shaping the adoption of novel engineering practices within Netcores cloud infrastructure.

Key Responsibilities

  • Conduct in-depth technical research and comparative benchmarking of backend, AI, and infrastructure technologies to identify opportunities for performance, eliability, and scalability improvements.
  • Drive systematic evaluation of new architectures (e.g., distributed systems, KV stores, vector DBs, stream processors), through rigorous experimentation, scaling studies, and technical documentation of findings.
  • Lead the incubation and prototyping of emerging technologies, producing detailed analyses, design docs, and recommendations for organizational adoption or integration.
  • Regularly scout, investigate, and analyze frontier technologies relevant to customer engagement, personalization, and real-time decisioning pipelines; present actionable insights to product and platform leadership.
  • Collaborate with engineering, data science, and product teams to evaluate build/buy strategies for new capabilities, providing research summaries and experimental data to guide decisions.
  • Develop proof-of-concept systems and experimental frameworks to stress-test new patterns in distributed messaging, ML/AI personalization, and ultra high-throughput computing.
  • Author whitepapers, RFCs, and technical articles to share research discoveries across Netcore engineering and the broader tech community.

Minimum Qualifications

  • Bachelors or Masters in Computer Science, Engineering, or a related field with strong foundations in algorithms, distributed systems, and research methodologies.
  • 3+ years of experience in backend engineering / research, with proven skills in analyzing, benchmarking, and evaluating new system architectures and technologies at scale.

Preferred Qualifications

  • Hands-on contributions to open-source research projects or experience publishing technical papers on benchmarking, distributed systems, or cloud platform innovation.
  • Experience running comparative studies of technology stacks (e.g., messaging systems, Databases, cloud runtimes), with expertise in prototype design, and data-driven reporting.
  • Familiarity with tech incubation and the transition from experimental prototypes to production deployments.

Tools and Technologies

  • Extensive experience in

    GCP

    &

    AWS

    cloud platforms
  • Extensive experience with system benchmarking tools (

    YCSB, Sysbench, HammerDB

    ), profiling frameworks, and cloud-native instrumentation stacks.
  • Proficiency in

    Python, Go, Java

    , or similar systems languages for rapid technology prototyping and evaluation.
  • Deep understanding of event-driven systems, real-time analytics, and AI/ML integration patterns in cloud-native environments.
  • Deep Understanding of technologies like

    Kafka, Apache Spark, Apache Storm, Cassandra, MongoDB, Aerospike, Vertica, BigQuery, Redshift, Druid, Vector

Databases & Graph Databases.

Impact 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.

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