Aviral Dixit

CTO

Lucknow, Uttar Pradesh, India5 yrs 3 mos experience

Key Highlights

  • 6 years of experience in cloud-native distributed systems.
  • Improved system throughput by 30% through optimization.
  • Expert in designing fault-tolerant microservices.
Stackforce AI infers this person is a Backend Engineer specializing in cloud-native SaaS solutions.

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Skills

Core Skills

Java DevelopmentSpring BootAmazon Web Services (aws)

Other Skills

AWS EventBridgeAWS LambdaDynamoDBS3SQSAWS GlueLambdaGitLeadershipPython (Programming Language)Rust (Programming Language)Amazon S3ReduxAmazon DynamodbRESTful WebServices

About

Java Backend Engineer | AWS Certified Cloud Practitioner | Spring Boot | Microservices | Cloud-Native Systems | Terraform | System Design Backend Engineer with 6 years of experience designing and delivering scalable, cloud-native distributed systems using Java, Spring Boot, and Microservices across enterprise environments. Specialized in building high-throughput backend platforms and domain-driven services powering large-scale customer and data-intensive applications. I lead the development of microservice-based backend platforms responsible for real-time customer eligibility and offer orchestration systems, enabling seamless decisioning across financial and retail ecosystems. I drive system design, API architecture, and service scalability to deliver resilient, production-grade services deployed on AWS using Terraform-managed infrastructure. My work focuses on designing highly available services, optimizing data access patterns, and ensuring reliable integration between ETL-driven data platforms and customer-facing applications, supported by centralized observability through the ELK stack. Previously, I architected and developed cloud-native backend services and large-scale data pipelines leveraging AWS (Lambda, EventBridge, DynamoDB, S3, Glue) with Infrastructure as Code using Terraform. Improved system throughput by 30% by introducing asynchronous processing models, optimizing JVM performance, and refactoring event-driven architectures for enhanced concurrency and resource efficiency. Built both real-time and batch data processing systems supporting enterprise analytics and reporting platforms. Proficient in designing fault-tolerant microservices, distributed system integrations, and low-latency backend architectures. Hands-on with Jenkins CI/CD, Maven, Git, and React.js for delivering end-to-end platform capabilities. Strong advocate of Clean Code, SOLID principles, and Domain-Driven Design (DDD), with deep expertise in System Design, Concurrency, and database optimization across PostgreSQL, MySQL, and DynamoDB. Experienced in Agile environments, actively contributing to architecture decisions, mentoring engineers, and driving engineering excellence through scalable design practices and performance-focused development. 🎓 Certification:AWS Certified Cloud Practitioner Driven by building resilient distributed platforms and scalable backend ecosystems, I focus on solving complex engineering problems that improve system reliability, scalability, and developer velocity.

Experience

5 yrs 3 mos
Total Experience
1 yr 7 mos
Average Tenure
4 mos
Current Experience

Kyndryl

Lead Software Engineering

Jan 2026 – Present · 4 mos · Noida, Uttar Pradesh, India · Hybrid

Java DevelopmentSpring Boot

Gartner

Software Engineer

Jun 2023 – Dec 2025 · 2 yrs 6 mos · Gurugram, Haryana, India · Remote

  • Designed and delivered event-driven data migration pipelines using AWS EventBridge, Lambda, DynamoDB, S3, and SQS, ensuring reliable and scalable pub/sub data flow across teams.
  • Built a batch ETL replication pipeline with AWS Glue, S3, and Lambda, enabling large-scale data transformation and replication with high accuracy.
  • Integrated Java Spring Boot microservices with DynamoDB, relational databases, and React.js dashboards to provide real-time lifecycle tracking of migration events (success, failure, processing).
  • Enabled seamless integration of enterprise CRM systems with Gartner’s pipelines, ensuring smooth and secure cross-platform data transfers.
  • Automated AWS provisioning with Terraform (IaC) for resources including IAM, EventBridge rules, DynamoDB tables, and RDS instances.
  • Improved pipeline throughput by 30% via asynchronous workflows and JVM tuning in Java microservices.
  • Managed repositories with Bitbucket and followed CI/CD best practices, supporting collaborative development and reliable deployments.
Java DevelopmentAmazon Web Services (AWS)

Globallogic

Software Engineer

Sep 2022 – Jun 2023 · 9 mos · Noida, Uttar Pradesh, India

GitJava Development

Infosys

2 roles

Senior System Engineer

Jul 2022 – Sep 2022 · 2 mos · Hyderabad, Telangana, India

GitJava Development

System Engineer

Nov 2020 – Jul 2022 · 1 yr 8 mos · Hyderabad, Telangana, India

GitJava Development

Education

AKTU

B.tech — Computer Science

Jan 2016 – Jan 2020

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