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Arjun Thakur

Senior Backend Engineer | Java | Spring Boot | Kafka | Kubernetes | Distributed Systems | Redis | Microservices | Temporal

Bangalore Urban

6+ years of work experience

Jio Platforms Limited (JPL)
Sep 20242 yrsPresent

Bengaluru

• Contributed to the design and implementation of a large-scale post-order fulfillment platform replacing legacy architecture. • Led backend development of post-order fulfilment microservices using Java and Spring Boot. • Collaborated with Inventory, Warehouse, Carrier, and Invoice teams to define APIs and event-driven workflows. • Built a generic JSON-based rules engine platform for configurable business logic and dynamic rule management. • Designed scalable return order and ROC workflows optimizing logistics cost and operational efficiency. • Implemented retry and fault-tolerance workflows using Temporal to improve reliability of fulfillment services. • Worked extensively on production incident RCA, schema validation, performance optimization, and backend reliability improvements. • Developed scalable REST APIs and asynchronous Kafka-based backend workflows.
Jio Platforms Limited (JPL)
Dec 20221 yr 10 mosSep 2024

Bengaluru, Karnataka, India

OYO
Jun 20202 yrs 6 mosNov 2022

Gurugram

• Owned Segmentation Service APIs serving high-traffic user and hotel segmentation use cases. • Implemented Redis-based caching layer reducing P99 latency from ~95ms to ~60ms. • Worked on internal backend tools and scalable microservice development using Java and Spring Boot. • Contributed to API optimization, backend performance improvements, and production issue resolution.
LeetCode
@arjun_0987

Arjun’s AI Stack

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Education

Maulana Azad National Institute of Technology

B. Tech., CSE

Maulana Azad National Institute of Technology

20164 yrs2020

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Headline

Senior Backend Engineer | Java | Spring Boot | Kafka | Kubernetes | Distributed Systems | Redis | Microservices | Temporal

About

Backend Engineer with 6+ years of experience building scalable distributed systems and high-throughput backend platforms using Java and Spring Boot. Currently working at Jio Platforms (AJIO B2C), contributing to large-scale post-order fulfillment and return management systems. Experienced in designing microservices, event-driven architectures, retry workflows, and configurable rule-engine platforms for complex business use cases. Strong expertise in Kafka, Redis, Kubernetes, Temporal, REST APIs, and cloud-native backend architectures. Worked extensively on performance optimization, production incident resolution, schema validation, caching strategies, and reliability improvements in high-scale environments. Previously worked at OYO, where I owned Segmentation Service APIs and improved latency through Redis-based caching and backend optimizations. Passionate about scalable system design, clean engineering practices, and solving complex backend challenges

Location

Bangalore Urban

AI stack

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Work experience

Software Development Engineer 2 at Jio Platforms Limited (JPL), Sep 2024 - Present · 2 yrs, Bengaluru, • Contributed to the design and implementation of a large-scale post-order fulfillment platform replacing legacy architecture. • Led backend development of post-order fulfilment microservices using Java and Spring Boot. • Collaborated with Inventory, Warehouse, Carrier, and Invoice teams to define APIs and event-driven workflows. • Built a generic JSON-based rules engine platform for configurable business logic and dynamic rule management. • Designed scalable return order and ROC workflows optimizing logistics cost and operational efficiency. • Implemented retry and fault-tolerance workflows using Temporal to improve reliability of fulfillment services. • Worked extensively on production incident RCA, schema validation, performance optimization, and backend reliability improvements. • Developed scalable REST APIs and asynchronous Kafka-based backend workflows.

Software Developer at Jio Platforms Limited (JPL), Dec 2022 - Sep 2024 · 1 yr 10 mos, Bengaluru, Karnataka, India

Software Developer at OYO, Jun 2020 - Nov 2022 · 2 yrs 6 mos, Gurugram, • Owned Segmentation Service APIs serving high-traffic user and hotel segmentation use cases. • Implemented Redis-based caching layer reducing P99 latency from ~95ms to ~60ms. • Worked on internal backend tools and scalable microservice development using Java and Spring Boot. • Contributed to API optimization, backend performance improvements, and production issue resolution.

Education

B. Tech., CSE, Maulana Azad National Institute of Technology

Public links

leetcode: https://leetcode.com/arjun_0987