Saket Chinchalikar — Backend Engineer
I build backend systems that run at real production scale, not just in theory. I’m a backend engineer who helps large enterprise platforms modernize monolithic systems into cloud native microservices using Java, Spring Boot, and event driven architecture, improving deployment speed, performance, and reliability. Over the past 5+ years, I’ve worked across insurance, retail ecommerce, and travel technology domains, designing and delivering backend platforms that handle high traffic, complex integrations, and mission critical workloads. My focus has consistently been on building systems that are scalable, observable, and resilient under production pressure. Some of the impact I’ve delivered: • Reduced deployment time by 90% by introducing CI/CD pipelines and containerized microservices • Cut API latency by over 50% through performance optimization, caching, and asynchronous processing • Led modernization of legacy monolith applications into Spring Boot microservices running on OpenShift / K8s • Built event driven data pipelines using Kafka and Azure Event Hub for large scale data processing • Improved system reliability through better testing, monitoring, and release engineering practices I specialize in: • Java and Spring Boot backend development • Microservices architecture and legacy modernization • Event driven systems using Kafka • Cloud native platforms across AWS, Azure, and container environments • Performance optimization for high traffic distributed systems In addition to backend platform work, I’ve also built AI powered tools including RAG based applications and LLM integrations to improve data retrieval, automation, and developer productivity, while maintaining strong engineering rigor and production readiness. I enjoy solving complex backend problems, improving system performance, and building platforms that engineering teams can depend on at scale. I’m currently exploring backend engineering opportunities where I can contribute to building scalable, high reliability systems and help organizations modernize and grow their core platforms.
Stackforce AI infers this person is a Backend Engineer specializing in Fintech and E-commerce with expertise in cloud-native systems.
Location: San Francisco, California, United States
Experience: 5 yrs 8 mos
Skills
- Java
- Spring Boot
- Javascript
- React.js
Career Highlights
- Reduced deployment time by 90% with CI/CD pipelines.
- Cut API latency by over 50% through optimization.
- Built scalable, resilient backend systems for enterprises.
Work Experience
Career Break
Career transition (7 mos)
USAA
Software Engineer (1 yr 5 mos)
Neiman Marcus
Software Engineer (7 mos)
Tata Consultancy Services
Software Engineer (5 yrs 1 mo)
Travelport
Software Engineer (2 yrs 11 mos)
Thomas J. Watson School of Engineering and Applied Science, Binghamton University
Graduate Student Assistant (4 mos)
Education
Master of Science - MS at Thomas J. Watson College of Engineering and Applied Science, Binghamton University
Bachelor of Engineering - BE at University of Mumbai
High School at Swami Vivekanand International School and Jr. College