Saket Chinchalikar

Backend Engineer

San Francisco, California, United States5 yrs 8 mos experience
Highly StableAI Enabled

Key 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.
Stackforce AI infers this person is a Backend Engineer specializing in Fintech and E-commerce with expertise in cloud-native systems.

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Skills

Core Skills

JavaSpring BootJavascriptReact.js

Other Skills

Microservices ArchitectureKubernetesContinuous Integration and Continuous Delivery (CI/CD)MicroservicesCI/CDNode.jsSplunkAmazon Web Services (AWS)AWS CloudWatchDistributed SystemsApache KafkaMicrosoft AzureREST APIsJenkinsBusiness Process Management

About

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.

Experience

5 yrs 8 mos
Total Experience
5 yrs 1 mo
Average Tenure
7 mos
Current Experience

Career break

Career transition

Oct 2025Present · 7 mos · San Francisco Bay Area

  • Actively pursuing Backend Software Engineer roles with a focus on scalable, cloud-native backend systems.
  • Strengthening expertise in Java, Spring Boot, microservices, distributed systems, and Kafka through hands-on backend projects
  • Staying current with cloud platforms including AWS and Azure, containerization with Docker and Kubernetes, and CI/CD best practices

Usaa

Software Engineer

Apr 2024Sep 2025 · 1 yr 5 mos · San Antonio, Texas Metropolitan Area · On-site

  • Led a legacy modernization initiative for a large scale insurance platform by redesigning monolithic services into 15 cloud native Spring Boot microservices. Reduced critical API latency by 50 percent and accelerated deployments by 90 percent by introducing automated CI CD pipelines and Kubernetes based orchestration. Improved system reliability and release confidence through better testing, monitoring, and deployment practices.
  • Technologies: Java | Spring Boot | Microservices | Docker | Kubernetes | OpenShift | REST APIs | GitLab CI/CD | Redis | React | JUnit | JMeter | Agile
JavaSpring BootMicroservices ArchitectureKubernetesContinuous Integration and Continuous Delivery (CI/CD)React.js

Neiman marcus

Software Engineer

Aug 2023Mar 2024 · 7 mos · Dallas, Texas, United States · On-site

  • Supported a high traffic enterprise e commerce platform serving web and mobile users, contributing to platform stability during peak traffic events including Black Friday and seasonal sales. Built and maintained production features using React, React Native, and Node.js while collaborating closely with cross functional teams on releases and incident resolution. Designed custom observability dashboards using Splunk Cloud and AWS CloudWatch, enabling proactive detection of performance issues and reducing mean time to resolution for production incidents. Supported deployment and release workflows using Bitbucket and Firebase, ensuring consistent delivery across environments.
  • Technologies: React | React Native | Node.js | JavaScript | AWS CloudWatch | Splunk | RESTful APIs | Postman | JIRA | Bitbucket | Firebase | Dynatrace
JavaScriptReact.jsNode.jsSplunkAmazon Web Services (AWS)

Tata consultancy services

Software Engineer

Aug 2020Sep 2025 · 5 yrs 1 mo · United States · On-site

  • Software Engineer at Tata Consultancy Services, delivering backend and platform solutions for large enterprise clients including a major fintech property insurance platform, a luxury retail ecommerce company, and a global travel technology provider.

Travelport

Software Engineer

Aug 2020Jul 2023 · 2 yrs 11 mos · Denver, Colorado, United States · On-site

  • Engineered a centralized payload reporting microservice using Java and Spring Boot, isolating reporting responsibilities from five plus downstream API teams which improved system modularity, maintainability, and service ownership boundaries. Implemented a high throughput event driven data pipeline leveraging Apache Kafka and Azure Event Hub to stream large volumes of API payload data into analytics platforms for downstream processing and reporting. Designed a dynamic runtime configuration framework that allowed operational changes without redeployment, reducing cross team coordination overhead by roughly 70 percent. Delivered process automation capabilities using Bizagi BPM to orchestrate onboarding workflows and integrate external systems, enabling streamlined business process execution alongside backend service architecture. Partnered with distributed engineering teams to deploy and operate production grade microservices across Dev, QA, and Production environments using OpenShift container platforms and Jenkins CI CD pipelines.
  • Technologies:
  • Java | Spring Boot | Apache Kafka | Azure Event Hub | Microservices | Event Driven Architecture | Bizagi BPM | OpenShift | Docker | Jenkins | REST APIs | Distributed Systems
JavaSpring BootDistributed SystemsApache KafkaMicrosoft AzureREST APIs+2

Thomas j. watson school of engineering and applied science, binghamton university

Graduate Student Assistant

Jan 2020May 2020 · 4 mos · Binghamton, New York, United States · On-site

  • Collaborated with Lisa Gallagher, Assistant Dean for Research and Graduate Studies at the Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton, to support international graduate students throughout the admissions process, providing clear guidance on application requirements, academic procedures, and university policies to ensure a seamless transition into graduate programs.

Education

Thomas J. Watson College of Engineering and Applied Science, Binghamton University

Master of Science - MS — Computer Science

Aug 2018May 2020

University of Mumbai

Bachelor of Engineering - BE — Computer Science

Aug 2013Jun 2017

Swami Vivekanand International School and Jr. College

High School — Computer Engineering

Jan 2011Jan 2013

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