Suraj Kadam

Backend Engineer

Maharashtra, India4 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Engineered scalable backend systems for millions of daily orders.
Optimized game engine performance, enhancing user experience.
Led projects and mentored junior developers in tech.

Stackforce AI infers this person is a Backend Engineer specializing in E-commerce and Gaming industries.

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Skills

Core Skills

Go (programming Language)MicroservicesAws

Other Skills

KafkaRedisTemporalJenkinsBitbucketAmazon Web Services (AWS)SQLPython (Programming Language)Low-Level DesignHigh-Level DesignApache KafkaPostgreSQLMongoDBNew RelicArgocd

About

Hi there! I'm a Backend Engineer who loves coding and designing systems. I'm passionate about solving problems and making things work efficiently. When I'm not at my desk, you'll find me on the cricket field or enjoying a swim. Let's connect and chat about tech or sports.

Experience

4 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs

Current Experience

Zepto

SDE-2

May 2024 – Present · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Technical Work
At Zepto, I engineered scalable backend systems that supported millions of daily orders across 1000+ stores. Built and optimized services using Go, Kafka, Redis, and Temporal. Key projects include:
Rule-based task assignment engine — automated store-level task distribution, improving packer utilization by 35%.
Bag detachment flow — asynchronous, image-backed system with complete bag history and P99 latency under 50ms.
Bad product liquidation system — automated end-to-end workflows across stores using a distributed worker setup, contributing to increased revenue through faster recovery and clearance.
Expiry management service — ensured compliance and customer safety with 95th percentile response time under 200ms.
Fallback mechanism using circuit breaker — maintained high availability in customer order flows during downstream failures.
Leadership & Impact
Led multiple projects end-to-end, mentored junior developers, and regularly conducted PR reviews to maintain code quality and share best practices. Collaborated with cross-functional teams, drove architectural discussions, and ensured scalable, timely delivery of high-impact systems aligned with business goals.

Go (Programming Language)MicroservicesKafkaRedisTemporal

Junglee games

SDE-1

Oct 2022 – May 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

At Junglee Games, I focused on building low-latency backend services for real-time multiplayer games using Go. Key contributions include:
Poker game engine enhancements — reduced hand rank computation time by ~50% through core logic optimization.
Tournament matchmaking service — introduced table balancing logic to speed up tournament completion and ensure fair gameplay.
MultiFlight tournaments system — built backend support that improved user engagement and boosted retention.
Modular game library — contributed to a shared codebase supporting Ring Games, Tournaments, and other modes with clean abstractions.
Microservices with Onion Architecture — ensured clean, maintainable code using SOLID principles and design patterns.
Initiative & Learning
Driven by curiosity, I consistently explored ways to improve performance and reduce latency. I proactively profiled services, debugged production issues, and collaborated with senior engineers to understand real-time game behavior at scale.

JenkinsBitbucketGo (Programming Language)

Cognizant

Programmer Analyst

Oct 2021 – Oct 2022 · 1 yr · Pune Division, Maharashtra, India

During my time at Cognizant, I worked as a backend engineer with exposure to full-stack development and cloud technologies. I was part of a dynamic team focused on building scalable APIs and contributing to enterprise-level systems.
Key Responsibilities & Contributions:
Completed professional training in Go, Python, and AWS, building a strong foundation in backend development and cloud infrastructure.
Developed and maintained RESTful APIs for clients, supporting business-critical functionality.
Gained hands-on experience working with relational and non-relational databases, enhancing my understanding of data modeling and performance optimization.
Collaborated closely with senior engineers to understand large-scale system design, internal workflows, and best practices, which helped me grow technically and professionally.
Initiatives & Self-Driven Learning:
Took the initiative to learn Node.js and React, expanding my skill set toward full-stack development.
Explored the field of Machine Learning, including completing online coursework and applying concepts to hands-on projects.
Built personal e-commerce and ML-based projects to apply learnings and deepen understanding of practical development workflows.