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 Parquet/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.