Siddheshya Singh

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

Key Highlights

Expert in building high-performance backend microservices.
Achieved 99% improvement in quote generation time.
Proficient in event-driven architecture with Apache Kafka.

Stackforce AI infers this person is a Backend Developer specializing in E-commerce and Microservices architecture.

Contact

Skills

Core Skills

JavaSpring Boot

Other Skills

MicroservicesREST APIsApache KafkaRedisDockerGrafanaReactive ProgrammingMicronautSagaCompetitive ProgrammingData StructuresProblem Solving

About

Experienced Software Developer Engineer I specializing in building high-performance backend Microservices with Java, Spring Boot, containerized using Docker, and deployed on Google Cloud Platform and Amazon Web Service with real-time observability via Grafana. Proficient in designing event-driven systems using Apache Kafka, optimizing performance with Redis, and working across both relational (MySQL) and document-oriented (MongoDB) databases. Adept at applying SOLID principles and low-level design (LLD) techniques to write clean, maintainable, and scalable code.

Experience

1 yr 11 mos

Total Experience

1 yr 7 mos

Average Tenure

4 mos

Current Experience

Flipkart

Software Development Engineer 1

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Working with Flipkart Travel and Cleartrip.

JavaSpring BootMicroservicesREST APIsApache KafkaRedis+2

Lowe's india

Associate Software Engineer

Jun 2024 – Jan 2026 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Collaborated with a cross-functional team to build Pro-customer tools on lowes.com
Contributed to Java/Spring Boot microservices and APIs powering Lowe’s e-commerce platform
Assisted on the Lowe’s Estimation Service to automate competitor-quote submission and immediate matching via PDF upload
Leveraged Apache Kafka for event-driven processing to stream quote data across services
Reduced quote-generation turnaround from 1–2 days to real-time (<1 min)—a ~99% improvement
Ensured reliability and observability by containerizing services with Docker, deploying on GCP, and monitoring with Grafana

JavaSpring Boot