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 Netcores cloud infrastructure.

What We're Looking For

- 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 community

Tools 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 Databases like Cassandra, MongoDB, Aerospike, Click house, Big Query, Snowflake, Druid, Vector & Graph Databases like Apache Neo4j, Tiger Graph
- Deep understanding of Parque/Avro/ORC file formats, Apache Data Sketches & Roaring Bitmaps
- 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, Hammer DB), profiling frameworks, and cloud-native instrumentation stacks.

Minimum Qualifications

- Bachelors or masters degree in computer science, Engineering, or a related field, with strong foundations in algorithms, distributed systems, and research methodologies.
- 410 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.

Preferred 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 solutions.

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.

Why Join Us?

- Build products used by 6,500+ global brands.
- Solve engineering challenges at scale using modern technologies.
- Work with cloud-native architectures, distributed systems, AI-powered development tools, and a high-performing engineering team.
- Thrive in a culture of ownership, innovation, and continuous learning.

Global Recognitions

- Leader in Commerce Search and Product Discovery in The Forrester Wave 2023
- The only Forrester-rated global vendor in Product Discovery, Cross Channel Marketing Hubs and Email.
- Leader in Marketing Platforms in G2’s Winter 2024 Grid
- Top 20 global Google Cloud Partner
- Appraised at Level 3 of ISACA’s CMMI® by Equalitas Certifications Limited
- Outstanding Place to Work® for six consecutive years in India

Know More About Us

- Agentic Marketing Platform: Co-Marketer
- LinkedIn
- Our Growth Story: *The Proficorn Playbook – How Netcore Built a $100M+ ARR Business Without VC Funding*
- Life at Netcore: Explore our culture, and employee experiences
- Blogs
- Customer Success Stories
- Product & Tech Documentation
- Be a Proficorn: Watch/listen to our podcast of Netcore’s leaders in conversation with industry experts

~ Netcore is an equal opportunity employer.

About Us

Netcore is a leading AI-powered B2B SaaS Customer Experience and Marketing Technology platform, helping 6,500+ brands across 20+ countries deliver personalized customer experiences at scale. Our engineering teams build highly scalable, cloud-native products that process billions of customer interactions every day.

📌 Senior R &D Engineer (Bengaluru)
🏢 Netcore Cloud
📍 Bengaluru