SDE at Amazon

Hi, I'm Tri Vikram

Software Development Engineer passionate about building high-performance distributed systems, container runtimes, and developer tools.

Tri Vikram

About Me

I am a Software Development Engineer at Amazon with a Master's degree in Computer Science from Florida State University. I specialize in building scalable distributed systems, developer tooling, and test automation, with deep expertise in backend services, CI/CD, and system design.

At Amazon, I design and deliver backend services for a multi-region distributed platform in Java, TypeScript, and Python across microservices, serverless functions, and data pipelines. I lead design reviews, build developer tooling and automated test harnesses, and run primary oncall for production services. Previously at ServiceNow (4 years), I shipped full-stack features, built test automation frameworks and component drivers (Selenium, Playwright), and developed internal CI integrations across JIRA, Azure DevOps, and Jenkins. At Florida State University, I focused on distributed systems, parallel programming, and advanced operating systems — working with MPI, socket programming, and containerization, and researching file system optimization using CNTR and ExtFUSE.

My goal is to combine my expertise in distributed systems, developer tooling, and full-stack development to build scalable, reliable infrastructure. I'm passionate about systems that are fast, reliable, and elegant — and about the tooling that helps other engineers ship safely at scale.

Domain Expertise

Distributed SystemsDeveloper ToolingCI/CD & Test AutomationHigh-Performance ComputingMachine LearningParallel ProgrammingContainerizationWeb Development

Skills

Technologies

Python
C/C++
Java
JavaScript
TypeScript
HTML
CSS
React
Angular
Next.js
Node.js
Express.js
MySQL
PostgreSQL
MongoDB

Tools & Platforms

Git
Docker
VS Code
GitHub
Postman
GCP
AWS
Jenkins
Eclipse
IntelliJ IDEA
ServiceNow

Education

Logo of Florida State University

M.S. in Computer Science

Florida State University

Jan 2024 – Aug 2025

Specialized in Advanced Operating Systems, Parallel and Distributed Programming, and applications of AI/Deep Learning in high-performance systems

Logo of BITS Pilani (WILP)

M.Tech in Software Systems (Data Analytics)

BITS Pilani (WILP)

Jul 2021 – Jun 2023

Worked on scalable ML systems and gained expertise in distributed computing, AI/ML, and data analytics

Logo of KL University

B.Tech in Electronics and Communication Engineering

KL University

Jul 2016 – Jun 2020

Built strong foundations in communication systems, digital logic, embedded systems, and represented ACM ICPC

Experience

Amazon

Software Development Engineer

Amazon
CurrentAug 2025 – Present
  • Design and deliver backend services for a multi-region distributed platform in Java, TypeScript, and Python across microservices, serverless functions, and data pipelines.
  • Led end-to-end design and implementation of an approval workflow integrated into an internal CI/CD deployment pipeline — ran design reviews with peers and stakeholders and shipped a NoSQL-backed store with versioned records and content-diff-based auto-approval that improved release safety and reduced manual review load.
  • Built developer tooling and automated test harnesses to migrate 20+ components onto a new public API platform, achieving 100% pass rate through staged release gates.
  • Served as primary oncall, triaging 45+ tickets across services and leading a high-severity incident response that recovered ~92% of 150M+ impacted messages after a production outage.
  • Published an internal onboarding wiki and video playlist adopted by other teams as the canonical onboarding path.
Florida State University

Graduate Assistant (Research & Teaching)

Florida State University
Jan 2024 – Aug 2025

Graduate Research Assistant

  • Researched file systems, container optimization, and scalable parallel training for ML models.
  • Improved runtime efficiency of CNTR and integrated ExtFUSE for optimized file handling in containers.
  • Investigated parallelization to scale machine learning model training workloads efficiently.

Graduate Teaching Assistant

  • Supported teaching for Parallel & Distributed Programming course.
  • Mentored students on Flask, Python, debugging, and parallel programming techniques.
  • Helped prepare lectures and assignments to deepen understanding of system-level programming.
ServiceNow

Software Engineer

ServiceNow
Jan 2020 – Dec 2023
  • Developed user interfaces and implemented server-side logic, REST APIs, and data-access layers using JavaScript, applying data-structure and algorithmic optimizations to reduce response times by 15% and increase user engagement by 20%.
  • Built and maintained test automation frameworks and component drivers using Selenium and Playwright, raising code coverage and automation to 80% and cutting manual test cycle time by 40%.
  • Developed internal developer tooling and CI integrations (JIRA, Azure DevOps, Jenkins) to automate functional test execution across release pipelines, reducing post-release defects by 25%.
  • Designed and integrated RESTful and GraphQL APIs, enhancing frontend-backend communication and improving system observability.
  • Led integrations for Slack and observability pipelines, optimizing monitoring and alert systems.
  • Collaborated cross-functionally in Agile sprints, contributing to code reviews, sprint planning, and iterative delivery of scalable features.
  • Mentored junior engineers and contributed to internal code quality and performance standards.
  • Recognized with multiple monthly awards and honored with the quarterly LAMA award for outstanding contributions.
OpenText

Engineering Intern

OpenText
Jul 2019 – Nov 2019
  • Built a web application using Angular 7 with content extraction features for improved document management.
  • Developed a document classification POC that boosted categorization accuracy by 25%.

Project Highlights

A selection of systems programming and distributed computing work

Get in Touch

Feel free to reach out for collaborations or just a friendly hello