Aman S.

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Led development of scalable backend systems at Qualcomm.
Reduced data processing latency from 15 minutes to under 3 at Flipkart.
Optimized CI/CD pipeline execution time by 75%.

Stackforce AI infers this person is a Backend Engineer specializing in high-performance systems for E-commerce and Software Development.

Contact

amansingh801503@gmail.com LinkedIn

Skills

Core Skills

JavaMicroservices

Other Skills

Spring BootMySQLDockerKubernetesJenkinsREST APIsShell ScriptingMultithreadingCI/CDDistributed SystemsKafkaAerospikeHBaseDistributed CachingBloom Filters

About

Backend Engineer | Qualcomm, Ex-Flipkart Building scalable, high-performance backend systems and developer tools. I have hands-on experience designing and developing distributed systems using Java, Spring Boot, Kafka, Postgres, HBase, Aerospike, and Redis. At Qualcomm, I led the development of a Change Request Tracker Service, enabling developers to seamlessly map code changes to product requirements and track release status. I contributed to its end-to-end design (HLD + LLD), implemented backend modules, and set up Jenkins-based CI/CD pipelines — optimizing build cycles from 25 minutes to just 6. Previously at Flipkart, I engineered high-throughput ingestion pipelines that reduced data processing latency from 15 minutes to under 3, leveraging Kafka for async event handling and Aerospike/HBase for low-latency data access. I’m passionate about system design, performance optimization, and concurrency, and I enjoy solving complex engineering problems that make backend systems more reliable, efficient, and developer-friendly.

Experience

4 yrs 3 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 3 mos

Current Experience

Qualcomm

Software Engineer

Mar 2024 – Present · 2 yrs 2 mos · Hyderabad, Telangana, India · On-site

Contributing to the Gerrit open-source code review platform with a focus on scalable backend architecture and plugin development. Designed and implemented a Spring Boot-based plugin leveraging REST and SSH APIs to track change requests linked to software components, ensuring traceability across distributed systems. Built UI components to improve developer experience and integrated a caching layer to reduce response times under high concurrency.
Engineered a CI/CD pipeline overhaul using Docker, Kubernetes, and Jenkins migrating legacy VM-based test workflows to containerized environments, reducing pipeline execution time by 75%. Worked on multi-threaded test runners and optimized thread pooling for parallel execution.
Hands-on with service orchestration, microservice design patterns, and low-latency architecture. Regularly contribute to Gerrit’s upstream repository with bug fixes, frontend sanitization, and documentation enhancements. Collaborating across teams to uphold code quality via rigorous peer reviews and CI validations.
Tech Stack: Java, Spring Boot, Microservices, MySQL, Docker, Kubernetes, Jenkins, REST APIs, Shell Scripting, Multithreading, CI/CD, Distributed Systems

JavaSpring BootMicroservicesMySQLDockerKubernetes+6

Flipkart

SDE

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Bangalore Urban

Owned the design and deployment of high-throughput, low-latency ingestion pipelines for the grocery marketplace. Developed microservices using Java and Kafka to enrich and publish promotional banners with product metadata and representative images, reducing latency from 15 minutes to under 3 minutes through intelligent batching, Bloom filters, and in-memory caching strategies.
Integrated pricing and catalog microservices to dynamically compute and attach discount labels (MRP, selling price, price/unit), enhancing user engagement and conversions. Led the complete data center migration (Chennai → Calvin) for critical ingestion services—executed zero-downtime rollout with meticulous service discovery updates, validation on staging, and phased traffic cutover.
Maintained high system availability during on-call rotations, resolving production issues under tight SLAs. Collaborated across backend, infra, and SRE teams to improve observability, reliability, and scalability.
Tech Stack: Java, Microservices, Kafka, Aerospike, HBase, REST APIs, Distributed Caching, Bloom Filters, Threading, CI/CD, Production Monitoring, System Design, Data Center Migration

JavaMicroservicesKafkaAerospikeHBaseREST APIs+7