Headline

Software Engineer | Distributed Systems · Fintech | Java | Spring Boot | Microservices | REST APIs | Redis | Kafka | AWS | IISc Fellow · IIITD 2024

About

Backend engineer with 2+ years building distributed, event-driven systems at production scale in fintech. At Jupiter Money, I own and operate 8+ high-availability microservices such as fraud detection pipelines, real-time credit risk detection, and underwriting systems processing 10K+ events/day at 99.9% uptime. I've led end-to-end integrations with external financial partners, driven ~30% reduction in cloud infrastructure costs, and cut CI/CD deployment time from 30 minutes to under 5 minutes. Before Jupiter, I held an IISc Research Fellowship (one of India's most competitive undergraduate programs) and built computer vision pipelines for medical imaging research at IIITD. I work across the full backend stack: Java · Spring Boot · Kafka · Akka Streams · PostgreSQL · DynamoDB · Redis Cloud · AWS · Databricks · Prometheus · Grafana. I care about building systems that are observable, reliable, and fast. I own things end-to-end: API contract → production rollout → on-call rotation → RCA. Open to backend/distributed systems engineering roles at high-growth product companies.

Location

Greater Bengaluru Area

AI stack

claude code

claude

codex

cursor

gemini

kimi

Work experience

Software Engineer at Jupiter, Jul 2024 - Present · 2 yrs 2 mos, * Designed and scaled distributed microservices and event-driven backend systems for fraud detection, underwriting, and credit risk workflows processing 10K+ events/day. * Built production-grade REST APIs and asynchronous data pipelines using Java, Spring Boot, Kafka, Akka Streams, PostgreSQL, DynamoDB, and AWS services. * Led end-to-end integrations with external financial partners by defining API contracts, handling stakeholder coordination, and managing production rollouts. * Engineered high-throughput risk ingestion pipelines integrating multiple third-party data sources, reducing false positive rate by ~30%. * Migrated large-scale data workflows from Athena to Databricks and optimized distributed caching infrastructure by transitioning from Elasticsearch to Redis Cloud resulting in cost saving of up to 50% on infrastructure. * Optimized AWS infrastructure utilization across production services, contributing to ~30% reduction in cloud infrastructure costs. * Owned and maintained 8+ high-availability production services with 99.9% uptime, actively participating in on-call rotations, incident response, debugging, and RCA processes.

Software Engineering Intern at Jupiter, Nov 2023 - Jul 2024 · 9 mos, * Developed low-latency real-time ingestion pipelines using Kafka, Akka Streams, DynamoDB, and PostgreSQL for fraud and risk processing systems. * Built scalable backend services, REST APIs, AWS Lambda functions, and Airflow DAGs supporting mission-critical internal platforms. * Improved deployment efficiency by automating CI/CD workflows, reducing deployment time from ~30 minutes to under 5 minutes. * Took ownership in production launches, incident management, system debugging, and root cause analysis for distributed backend systems.

Education

Bachelor of Technology - BTech, Computer Science, Indraprastha Institute of Information Technology, Delhi

Public links

github: https://github.com/ayush26sharma