Utkarsh Raj

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Over 4 years of experience in backend development.
Expert in building scalable solutions using AWS.
Recognized for exceptional problem-solving and project delivery.

Stackforce AI infers this person is a Backend Developer specializing in SaaS solutions with a strong focus on AWS and distributed systems.

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Skills

Core Skills

Distributed SystemsProblem SolvingAwsKotlinBackend Development

Other Skills

Go (Programming Language)AWS Step FunctionsJSONOpenSearchAmazon ECSAWS CDKJavaScriptNode.jsNgnixReact.jsAgile DevelopmentAWS LambdaAWS CloudFormationAmazon Simple Notification Service (SNS)Amazon SQS

About

As a Software Development Engineer with over 4 years of experience, I specialize in building scalable, efficient backend systems and delivering impactful solutions. My technical expertise includes, but not limited to, Java, Kotlin, JavaScript, Node.js, Python, Django, SQL, NoSQL, and AWS, with a strong hands-on experience in leveraging AWS services to build scalable and efficient solutions. I excel in rapidly learning and adapting to new technologies. My passion is identifying real-world challenges and crafting technology-driven solutions that deliver meaningful impact.

Experience

4 yrs 9 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 6 mos

Current Experience

Uber

Software Engineer 2

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Oct'25 - Present: Part of Autonomous Mobility & Delivery team at Uber
Nov'24 - Oct'25: Part of the Fares Platform team

Distributed SystemsGo (Programming Language)

Amazon

2 roles

Software Development Engineer 2

Oct 2023 – Nov 2024 · 1 yr 1 mo · Hybrid

Part of AGI - Personal Knowledge Service (PKS) team.
Q2 2024 Quarterly Award winner recognized for exceptional work related to Delivering Results.
Worked on designing and implementing a state-ful customization workflow, similar to AWS Step Functions, enabling teams to write rules in JSON and execute them synchronously. Teams can create sequential, parallel, transactional workflows, or any combination of these workflows.
Developed an internal tool through which the logged-in Amazon employees can view their own derived or explicitly confirmed personal affinities.
Migrated the service from OpenSearch Serverless to Managed due to Serverless’ inability to support the projected load without having any downtime on the clients.
Designed and implemented the access control mechanism for the service where clients can only consume the data for which the have access.

Problem SolvingDistributed Systems

Software Development Engineer

Dec 2021 – Oct 2023 · 1 yr 10 mos · Hybrid

Part of Alexa Identity Services - Personal Knowledge Service (PKS) team.
Q3 2023 Quarterly Award winner recognized for developing time-critical components for the service, which led to successful product launch.
Worked on developing a suite of services from scratch which stores customer’s derived or explicit affinities towards an entity.
Conducted comprehensive load testing, identifying and resolving various bottlenecks, leading to reduction in latency from over 500 ms to 30 ms and a substantial increase in per-task throughput from 60 req/sec to 700 req/sec.
Developed CI/CD pipeline for multiple services using AWS CDK.
Mentored interns, providing guidance and support for their successful conversion to full-time roles.

KotlinAmazon ECS

Avo automation

2 roles

Software Developer

Aug 2021 – Nov 2021 · 3 mos · Bangalore · Remote

Worked as a backend developer with the Avo Assist team.
Created REST APIs using NodeJS and NoSQL databases.
Participated in team discussions regarding product architecture and design.
Worked on migrating the monolithic server-side code to a microservice-based architecture.

JavaScriptNode.jsBackend Development

Software Development Intern

Jan 2021 – Jul 2021 · 6 mos · Bangalore · Remote

Worked with Avo Assist team to develop REST APIs to serve data to the React-based frontend.
Used Node-RED to create a custom flow.
Technologies: NodeJs, MongoDB, Redis.