Tech R&D Engineer

Role: Senior R&D Engineer

Location: Thane, MH

About Us

Netcore.ai 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.

Role Summary

The Tech R&D Engineer at Netcore 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 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

• Bachelor’s or master’s degree in computer science, Engineering, or a related field, with strong foundations in algorithms, distributed systems, and research methodologies.
• 4–10 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
• Great 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.