Subhrajyoti Sahu

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Key Highlights

  • Reduced API ticket count by 30% during peak times.
  • Integrated returns services in innovative retail environments.
  • Developed automated systems for data analytics.
Stackforce AI infers this person is a Backend-focused Software Engineer in E-commerce.

Contact

LinkedIn

Skills

Core Skills

Amazon Web Services (aws)Java

Other Skills

Spring BootTypescriptRubyAWS LambdaSQSSNSCDKAmazon SQSAmazon Simple Notification Service (SNS)MicroservicesAmazon DynamodbRedisApache KafkaProgrammingPython (Programming Language)

About

I am a software engineer who likes to solve complex problems and build scalable backend systems that make a real impact. I enjoy designing and optimizing reliable solutions for real-time data and love collaborating with teams to turn ideas into robust products. I’m always curious, eager to learn new technologies, and passionate about making systems more efficient and user-friendly. I believe in continuous improvement and enjoy finding smart ways to automate and streamline processes.

Experience

3 yrs 7 mos
Total Experience
1 yr 6 mos
Average Tenure
7 mos
Current Experience

Airbnb

Software Engineer

Oct 2025 – Present · 7 mos

Kotak mahindra bank

Software Development Engineer

May 2023 – Sep 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Amazon Web Services (AWS)Spring Boot

Amazon

2 roles

Software Development Engineer

Jul 2022 – Mar 2023 · 8 mos · Bengaluru, Karnataka, India

  • Managed Latency and Alarm thresholds for returns APIs which led to 30
  • percent decrease in ticket count during prime days.
  • Onboarded Returns services in Just-Walk-Out Stores for easy returns.
  • Fixed critical issues related to API failure during EBT refunds in US stores.
  • Tech stack : Java Spring Boot, Typescript, Ruby
Amazon Web Services (AWS)Spring BootJavaTypescriptRuby

SDE Intern

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

  • Worked on AWS technologies and other Internal tools to build an
  • automated data storage and analytics system.
  • The service will enable the Business Intelligence team to easily see trends,
  • identify outliers and make inferences about different types of returns.
  • Tech stack : AWS Lambda, SQS, SNS, CDK
Amazon Web Services (AWS)Spring Boot

Education

International Institute of Information Technology, Bhubaneswar

Bachelor of Technology - BTech — Computer Science

Jan 2018 – Jan 2022

Stackforce found 100+ more professionals with Amazon Web Services (aws) & Java

Explore similar profiles based on matching skills and experience

Arjun Kumar Jha

Arjun Kumar Jha

Senior Software Engineer

at Uber

Bangalore Urban, India7 yrs 10 mos exp
BS

Bhavya Sood

Data Science Specialist

at XenonStack

South Delhi, India6 yrs 1 mo exp
Machine LearningBig Data
Shihas Shareef

Shihas Shareef

Technology Lead

at bigbasket

Bengaluru, India9 yrs 3 mos exp
SJ

Swati J.

Software Engineer

at Infosys

Pune, India6 yrs 8 mos exp
CPython
Goutham Bodduluri

Goutham Bodduluri

Member Of Technical Staff 3

at VMware

Bengaluru, India7 yrs 9 mos exp
Varsha Singh

Varsha Singh

Software Engineer

at Nike

Bengaluru, India6 yrs 5 mos exp
Shreya Kumari

Shreya Kumari

Back End Developer

at Samsung India

Noida, India2 yrs 10 mos exp
Spring BootAWS
RC

ReddySree Chinthakunta

Accumulated Expertise

at Career-Wide Experience

Tirupati Urban, India0 mo exp