Nitesh Kumar

About Nitesh Kumar

Senior Software Engineer with 9+ years of experience building and scaling distributed systems, cloud-native platforms, and high-throughput data infrastructure for mission-critical workloads.I design, implement, and lead complex backend and data platform initiatives end-to-end, from architecture and hands-on development to production rollout and optimisation. At Okta, I led and executed multi-phase modernisation of critical ETL and data platforms, including migration to MongoDB Atlas and Kubernetes-based sharded architectures, improving reliability, observability, and availability while achieving 99.99% SLA and significant horizontal scalability. I also personally drove large-scale performance re-architecture of APIs and pipelines, delivering orders-of-magnitude latency improvements and enabling near–real-time processing.Previously at Gupshup, I built real-time customer journey analytics platforms using Apache Flink, Pinot, Kafka, and AWS, and led a 10-member team to design and deliver a high-volume billing and reporting system processing 100M+ daily transactions across WhatsApp, SMS, and RCS.Across roles, I take ownership of ambiguous problem spaces, contribute deeply to design and code, and raise the engineering bar through mentoring, design reviews, and establishing best practices around system design, performance, and reliability.I’m targeting Staff Software Engineer roles where I can continue to grow as a technical leader while staying hands-on and driving large-scale architectural impact.Core Strengths- Distributed systems and data platforms (Java, Kafka, Flink, Pinot, microservices, streaming & batch processing)- Cloud-native architecture (Kubernetes, Docker, Helm, MongoDB Atlas, AWS, GCP)- System design, technical leadership, and architecture reviews- Performance optimisation, scalability, and reliability engineering- Large-scale data pipelines and real-time analytics- Mentorship and cross-team collaboration

Experience

1. Senior Software Engineer

   Okta

   Jun 2025 — Present · Bengaluru, IN

   Architected and led a multi-phase migration of mission-critical ETL and data platforms to MongoDB Atlas, significantly improving system reliability, performance, and operational observability across the organisation- Drove infrastructure modernisation by designing and migrating to a sharded MongoDB Atlas + Kubernetes architecture, delivering 99.99% SLA, 3× horizontal scalability, and fully automated zero-downtime failover- Led large-scale performance optimisation of APIs and ETL pipelines, achieving up to 420× latency reduction (4 minutes to 600ms) through parallel bulk processing and pipeline re-architecture.

Education

• Institute of Engineering & Management, Kolkata

  Bachelor of Technology (B.Tech.), Information Technology

  2012 — 2016

Skills

• Java
• Machine Learning
• Big Data
• Data Analysis
• Image Processing
• C++
• Hadoop
• Javascript
• Ajax
• Php
• Html
• C
• Spring Framework
• Scala
• Mongodb
• R
• Spring Boot
• Apache Pig
• Hive
• Apache Spark
• Cassandra
• Microservices
• Deep Learning
• Big Data Analytics
• Hbase
• Sqoop
• Weka
• Mahout