Vijendra Saini profile photo 1 on Tal

Vijendra Saini

Software Engineer II @ JPMorganChase | Java | Spring Boot | Kafka | Elasticsearch | AWS | CI-CD | Microservices | Agentic AI

Bengaluru

5+ years of work experience

JPMorganChase
Jan 20251 yr 9 mosPresent

Bengaluru, Karnataka, India

Consumer & Community Banking ◇◇◇ Connected Commerce ◇◇ Loyalty ◇ Card - Benefits
Delhivery
Jun 20213 yrs 7 mosDec 2024

Bengaluru, Karnataka, India

• Established and managed the end-to-end order processing flow as a founding team member of Delhivery One. The portal efficiently handles millions of shipments seamlessly. • Designed and developed a streamlined 1-click integration solution for online channels such as Shopify and WooCommerce. This initiative significantly increased SME and D2C client engagement, resulting in a 25% increase in Share of Wallet and monthly sales volume from these channels. • Implemented an automated data cleanup workflow for RDS and Elasticsearch by utilising the SQL CDC connector, reducing Gateway API latency, infrastructure overhead, and RDS storage costs. This optimization was crucial for scalability and availability as the platform expanded. • Led the migration of high-throughput RDS read operations to Elasticsearch, resulting in a remarkable 250x improvement in web response time (p95 ∼4.67 ms). This enhancement greatly enhanced the user experience and system performance. • Proficient in a wide range of the following technologies with hands-on experience in developing, debugging, and optimizing large-scale distributed systems. Language - Java (Spring Boot) Databases - PostgreSQL (RDS), Elasticsearch Message Stream - Kafka Cache - Redis File Storage - S3
Tacten LLP
Feb 20215 mosJun 2021

Bengaluru, Karnataka, India

• Developed Docker-based development environment on AWS for ERP developers, slashing client onboarding time. • Engineered a Customer Support Ticket Management System, streamlining client issue tracking and communication. • Utilized Python, MariaDB (MySQL), Redis-MQ, Docker, and Amazon S3 for tech stack implementation.
DailyObjects.com
May 20204 mosAug 2020

Delhi, India

• Engineered a high-performance product filtering service by increasing performance in search Latency which in turn reduced customer churn rate. • Automated data migration and API workflow using a script, resultant in enhanced operational efficiency. • Leveraged Node.js (TypeScript), MongoDB, Elasticsearch, and Docker for seamless tech stack implementation.

Vijendra’s AI Stack

claude code
claude code
codex
codex
gemini
gemini
github copilot
github copilot
mcp
mcp
obsidian
obsidian

Education

Indian Institute of Information Technology, SriCity

Bachelor of Technology - BTech, Computer Science

Indian Institute of Information Technology, SriCity

20174 yrs2021

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Headline

Software Engineer II @ JPMorganChase | Java | Spring Boot | Kafka | Elasticsearch | AWS | CI-CD | Microservices | Agentic AI

About

Software Engineer with 5+ years of experience in backend engineering, distributed systems, and high-throughput platforms, including building and scaling production systems at JPMorgan Chase (Fintech) and Delhivery (Logistics/E-commerce). My core expertise is in Java, Spring Boot, Python, JavaScript/TypeScript, REST APIs, Microservices, PostgreSQL/MySQL, MongoDB, Elasticsearch, Redis, Kafka, Docker, AWS, and CI/CD. I enjoy solving complex engineering problems around scalability, performance, reliability, data processing, system integration, and automation. At JPMorgan Chase, I architect and build high-throughput Spring Batch pipelines that support partner integrations and processing for 50M+ eligible cardholders. I’ve also worked on large-scale data migration and benefit-delivery systems handling 10M+ annual events, while improving traceability, reliability, security, testing, and deployment practices. Previously at Delhivery, I was a founding team member of Delhivery One, helping establish the end-to-end order processing platform serving millions of shipments. I designed scalable integrations with platforms such as Shopify and WooCommerce and led performance initiatives including the migration of high-throughput reads from RDS to Elasticsearch, achieving a 250x improvement in web response time (p95 ~4.67 ms). Core Competencies: - Backend Architecture & Distributed Systems - High-Throughput Batch Processing & Event-Driven Systems - High Concurrency, Caching & Low-Latency Query Optimization - Data Migrations & Schema Architecture - Database & Search Layer Tuning (PostgreSQL, MySQL, Elasticsearch, Redis) - Automated CI/CD, Testing & Observability (Jenkins, Spinnaker, Splunk, Datadog) - Agentic AI Workflow Integration & SDLC Optimization If you’re building at scale and need an engineer who thrives at the intersection of architectural rigor, distributed performance, and engineering execution, let's connect.

Location

Bengaluru

AI stack

claude code

codex

gemini

github copilot

mcp

obsidian

Work experience

Software Engineer II at JPMorganChase, Jan 2025 - Present · 1 yr 9 mos, Bengaluru, Karnataka, India, Consumer & Community Banking ◇◇◇ Connected Commerce ◇◇ Loyalty ◇ Card - Benefits

Software Engineer at Delhivery, Jun 2021 - Dec 2024 · 3 yrs 7 mos, Bengaluru, Karnataka, India, • Established and managed the end-to-end order processing flow as a founding team member of Delhivery One. The portal efficiently handles millions of shipments seamlessly. • Designed and developed a streamlined 1-click integration solution for online channels such as Shopify and WooCommerce. This initiative significantly increased SME and D2C client engagement, resulting in a 25% increase in Share of Wallet and monthly sales volume from these channels. • Implemented an automated data cleanup workflow for RDS and Elasticsearch by utilising the SQL CDC connector, reducing Gateway API latency, infrastructure overhead, and RDS storage costs. This optimization was crucial for scalability and availability as the platform expanded. • Led the migration of high-throughput RDS read operations to Elasticsearch, resulting in a remarkable 250x improvement in web response time (p95 ∼4.67 ms). This enhancement greatly enhanced the user experience and system performance. • Proficient in a wide range of the following technologies with hands-on experience in developing, debugging, and optimizing large-scale distributed systems. Language - Java (Spring Boot) Databases - PostgreSQL (RDS), Elasticsearch Message Stream - Kafka Cache - Redis File Storage - S3

SDE Intern at Tacten LLP, Feb 2021 - Jun 2021 · 5 mos, Bengaluru, Karnataka, India, • Developed Docker-based development environment on AWS for ERP developers, slashing client onboarding time. • Engineered a Customer Support Ticket Management System, streamlining client issue tracking and communication. • Utilized Python, MariaDB (MySQL), Redis-MQ, Docker, and Amazon S3 for tech stack implementation.

SDE Intern at DailyObjects.com, May 2020 - Aug 2020 · 4 mos, Delhi, India, • Engineered a high-performance product filtering service by increasing performance in search Latency which in turn reduced customer churn rate. • Automated data migration and API workflow using a script, resultant in enhanced operational efficiency. • Leveraged Node.js (TypeScript), MongoDB, Elasticsearch, and Docker for seamless tech stack implementation.

Education

Bachelor of Technology - BTech, Computer Science, Indian Institute of Information Technology, SriCity