I'm a Senior Software Engineer specializing in distributed systems, backend architecture, and cloud infrastructure. My work focuses on building reliable, scalable services, improving service reliability, modernizing cloud infrastructure, and developing AI-assisted engineering solutions.

I've worked at Microsoft, Uber, Walmart–Flipkart, and MakeMyTrip, solving engineering problems across customer-support platforms, Azure networking, large-scale permissions systems, omnichannel services, search monetization, and insurance technology.

My engineering experience spans C++, Go, Python, Java, Azure, Kubernetes, Kafka, Redis, and distributed data systems. More recently, I've been exploring LLM applications, agentic workflows, context engineering, and AI-assisted software development.

Exploring new engineering opportunities

Focusing on senior software engineering opportunities in backend systems, distributed infrastructure, reliability engineering, and AI-powered developer and support platforms.

Customer Support Platform | Distributed Systems & Reliability

Improved knowledge retrieval for customer-support agents serving over 3 million users, contributing to a 30% reduction in customer complaints.

• Diagnosed regional DNS and Azure Traffic Manager failures, helping sustain over 99.9% global API success.
• Led Azure networking modernization across 20+ teams and 10+ services, migrating 287 public IPs to Service Tags with zero downtime or Sev1/Sev2 incidents.
• Led an eight-engineer reliability initiative for an AI-assisted support chatbot, reducing recurring incidents by 44%.
• Automated mitigation for 200+ alerts and reduced alert noise by 42.3%.

Conversation Store Migration | Backend Architecture

Led the migration of phone tasks to a unified Conversation Store to support omnichannel customer-service experiences.

• Designed schema changes, dual-write migration workflows, and APIs for the migration.
• Expanded integration-test coverage from 10% to 60% and achieved 100% read-API test coverage.
• Automated rollback triggers, reducing L4+ incidents by 57%.
• Contributed to the development of scalable customer-support infrastructure.

Authorization | Data Modeling | Distributed Systems

Architected a permissions model for more than 500,000 help documents across 69 countries.

• Strengthened role-based access control for a globally distributed content platform.
• Reduced onboarding time for new content types from one week to one hour.
• Enabled scalable content management and authorization workflows across multiple teams.

Executive Assistant Workflows | Business Impact

Contributed to executive-assistant workflows for Uber for Business through cross-functional collaboration with Product, Design, and Engineering.

The work contributed to an estimated $60M–$80M in incremental annual bookings.

Advertisement Ranking | Performance Optimization

Optimized product-listing advertisement allocation through advertisement repositioning.

• Increased advertisement clicks by 6–8%.
• Generated approximately $126K–$189K in incremental peak-season revenue.

Backend Services | Data Quality | Security

Improved motor-insurance conversion by 250% through automated vehicle-data population and Aadrila integration.

• Modernized insurance microservices.
• Strengthened personally identifiable information (PII) protection.
• Built reconciliation and validation pipelines to correct more than 50,000 erroneous insurance policies.

**Software Engineer II (L62) **
February 2025 – October 2026

Worked on customer-support infrastructure, Azure networking modernization, service reliability, cost optimization, and AI-assisted support systems.

**Backend Software Engineer (L4) **
January 2023 – November 2024

Built backend systems for customer-support workflows, permissions management, omnichannel experiences, integration testing, and reliability improvements.

Software Engineer (L61) — Bing
August 2022 – January 2023

Contributed to Bing Treadmill, a large-scale CI/CD validation platform automating build, deployment, and testing workflows for safer releases.

Software Development Engineer — Insurance & Search Monetization
January 2020 – July 2022

Worked on advertisement optimization, insurance conversion, microservices modernization, data validation, and operational reliability.

Software Engineer — Goibibo Hotel Transactions
June 2019 – January 2020

Worked on Python version upgrades for microservices in the hotel integration team.

**Integrated B.Tech + M.Tech **
2013 – 2018

• Distributed Systems: Scalability, consistency, data modeling, service architecture, and fault tolerance.
• Backend Engineering: Microservices, REST APIs, concurrency, database optimization, and system design.
• Cloud Infrastructure: Azure, Kubernetes, networking, DNS, CI/CD, and infrastructure modernization.
• Reliability Engineering: Observability, incident management, integration testing, alert automation, and service availability.
• AI Engineering: LLM applications, agentic workflows, context engineering, prompt engineering, and AI-assisted development.

Languages: C++, Go, Python, Java

Cloud & Infrastructure: Microsoft Azure, Kubernetes, DNS, Traffic Manager, Service Tags, CI/CD

Data & Messaging: Cosmos DB, Google Datastore, Kafka, Redis, MySQL, Kusto, Docstore

Engineering Practices: Distributed Systems, Microservices, System Design, Concurrency, Observability, Integration Testing, Incident Management

AI Tools & Workflows: Microsoft Foundry, GitHub Copilot, LLM Applications, Agentic Workflows

• Email: garima.guptadl7@gmail.com
• Location: San Francisco Bay Area, California