Jayesh Joshi

Software Engineer @ Zapier

About

I’m a software engineer with experience building and improving production systems across automation and fintech platforms. At Zapier, I work on workflow systems and backend services that support large-scale automation. My work has included building React-based interfaces for workflow configuration, developing Django APIs for third-party integrations, and improving data performance through better indexing and query optimization in MongoDB. I’ve also worked with Kafka and AWS serverless services to support event-driven processing and background workloads. Previously at HCL Tech, I worked on fintech applications where I built Angular dashboards, developed Flask-based microservices, and optimized PostgreSQL queries for reporting and transaction workflows. That role gave me hands-on exposure to distributed systems, high-concurrency environments, and the importance of writing maintainable, well-tested code in production settings. I’ve worked across the stack, but I’m especially drawn to backend systems, API design, data modeling, performance tuning, and building services that scale cleanly. I care about writing code that is clear, reliable, and practical, especially in systems that are actively used by real users.

Country

City

United States

Industry

Computer Software

Skill

Python (Programming Language), Django, Apache Kafka, React.js, PostgreSQL, MongoDB, Amazon Web Services (AWS), Microservices, REST APIs, Systems Design, Software Development, Full-Stack Development, Web Development, Responsive Web Design, Java, asyncio, HTML5, Cascading Style Sheets (CSS), Tailwind CSS, JavaScript

Experience

Software Engineer

Zapier

2024-8 - Present · 2 yrs 2 mos

United States

Working on automation infrastructure that powers large-scale workflow systems. • Developed Django APIs that orchestrate third-party integrations and background automation tasks, reducing execution latency by ~140ms while supporting high-volume workflow processing. • Built Python services integrated with Kafka to validate automation payloads, enforce rate limits, and improve platform reliability in distributed workflows. • Implemented AWS serverless pipelines (Lambda, SQS) to handle asynchronous automation workloads, increasing system throughput by ~25%. • Designed MongoDB data models and indexing strategies for trigger-event logs, improving query performance by ~32%.

Software Engineer

HCLTech

2022-5 - 2023-7 · 1 yr 3 mos

India

Worked on fintech platforms supporting onboarding systems, transaction workflows, and reporting infrastructure. • Developed Flask microservices and REST APIs for authentication and business workflows, reducing API latency by ~120ms under high concurrent load. • Modeled PostgreSQL schemas and optimized transactional queries, improving reporting pipeline performance by ~35%. • Implemented Kafka-based event streaming to enable asynchronous service communication and improve reliability across distributed payment workflows. • Containerized services with Docker and deployed to Microsoft Azure using CI/CD pipelines, enabling faster and more stable production releases.