Subham Biswal
Software Engineer @ PepsiCo | Microservices & Data Engineering | Java · Kafka · Spark · Databricks · Kubernetes
- Role
- Associate Software Engineer at PepsiCo
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Subham Biswal
Software Engineer with 3 years building enterprise-grade distributed systems, microservices, and data platforms at scale.I have experience designing and developing API-first microservices, event-driven architectures, and low-latency backend systems using Java, Spring Boot, Node.js, Kafka, and cloud-native technologies. My work has involved building highly concurrent services, optimizing large-scale data workloads, and improving system reliability and observability across production environments.I enjoy solving complex systems problems — from designing resilient distributed services and asynchronous pipelines to optimizing performance in high-throughput platforms. I’m particularly interested in Platform and Data engineering challenges where scalability, reliability, and performance are critical.Core Stack: Java · Spring Boot · Node.js · Kafka · Docker · Kubernetes · Spark SQL · Databricks · TypeScriptCurrently exploring Senior Software Engineer and Platform/Data Engineering roles. Open to connecting
Experience
Associate Software Engineer
Mar 2025 — Present · Hyderabad, IN
Designed and delivered API-first microservices using Java, Spring Boot, and REST supporting real-time enterprise workflows used by 1,500+ internal users. • Architected event-driven distributed systems using Node.js, TypeScript, and Kafka, improving system responsiveness by 45% under concurrent workloads. • Built horizontally scalable microservices in containerized environments using Docker and Kubernetes, improving platform availability and reducing service interruptions by 40%. • Led end-to-end feature development (architecture → implementation → CI/CD → production support) for mission-critical platform capabilities. • Optimized large analytical queries across Spark SQL, Presto, and Databricks SQL, reducing query latency by up to 40% through execution-plan tuning. • Improved platform observability through structured logging, metrics, and distributed tracing, increasing system visibility to 90%+.
Education
Vellore Institute of Technology
Computer Science Engineering, Cybersecurity and Digital forensics
2019 — 2023
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