Senior R &D Engineer

Job description

**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 - 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.* **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.