Saksham Arora

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected distributed identity infrastructure for 500K+ users.
Engineered auto-healing service saving $250K annually.
Developed LLM-powered system resolving issues 40% faster.

Stackforce AI infers this person is a Backend-focused Cloud Infrastructure Engineer with expertise in high-scale distributed systems.

Contact

saksham_arora@intuit.com LinkedIn

Skills

Core Skills

MicroservicesDistributed SystemsOauth 2.0LlmRest ApisMicrosoft AzureSystem DesignC#.net CoreAmazon Web Services (aws)React.js

Other Skills

RedisRetrieval-Augmented Generation (RAG)Multi-Disk BackupAzureAutomationBackup SolutionsAWS LambdaReactDockerAgentic AI DevelopmentModel Context Protocol (MCP)SplunkGrafanaAmazon DynamodbLarge Language Models (LLM)

About

Software Engineer with 4+ years of experience building large-scale distributed systems at Microsoft and Intuit. I design and operate backend services that handle millions of daily operations with strong consistency, sub-100ms latencies, and 99.95% availability. I care about getting the fundamentals right — consistency models, fault tolerance, and operational excellence — because that is what keeps systems reliable when they serve millions of users. At Intuit, I architect distributed identity infrastructure serving 500K+ monthly active users across four products. I build orchestration APIs with replicated Redis caching and async processing. I design fault-tolerant integrations using circuit breaker patterns, cutting latency by 40% and failures by 30%. At Microsoft, I engineered distributed storage infrastructure processing 10M+ daily operations on Service Fabric. I shipped crash-consistent multi-disk backup across 100+ Linux distros by coordinating file system snapshots and hardware I/O scheduling. I built secure data pipelines for Confidential VMs and onboarded 50+ enterprise customers. I also developed an event-driven auto-healing service that recovered 95% of transient failures and saved $250K per year. This project won the Microsoft Hackathon. Recently, I built an LLM-powered triage system using RAG over historical failure logs. It resolves platform issues 40% faster. If you are building backend or infrastructure teams, I would love to connect. Send me a message here or reach out at saksham20189575@gmail.com.

Experience

3 yrs 10 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 2 mos

Current Experience

Intuit

Software Development Engineer 2

Mar 2025 – Present · 1 yr 2 mos · Bengaluru · On-site

Led identity and auth platform engineering at Intuit, architecting OAuth 2.0 SSO integrations and federation services serving 500K+ MAU across the QuickBooks ecosystem.
Led design of OAuth 2.0 SSO integration between QuickBooks Online and Amazon, partnering with product and security teams to architect token management microservices serving 500K+ MAU across four Intuit products
Architected federation orchestration APIs with Redis caching and async token validation, delivering 99.95% availability and sub-200ms p99 latency at peak load
Drove BYOI enterprise SSO for Google and Okta with SAML/OIDC protocol handlers and circuit breaker patterns; reduced p90 login latency by 40% and auth failures by 30%
Engineered session management for token lifecycle with concurrent invalidation and refresh across services; lowered redundant upstream auth calls by 60%
Built an LLM-powered incident triage assistant using RAG over historical auth failure logs, enabling on-call engineers to resolve identity issues 40% faster

MicroservicesDistributed Systems

Microsoft

3 roles

Software Engineer, Cloud Infrastructure

Jul 2022 – Mar 2025 · 2 yrs 8 mos · On-site

Architected and scaled cloud-native backend systems powering 10M+ daily backup operations on the Azure Backup platform, driving technical design decisions and mentoring across a distributed engineering team.
Led HLD and LLD of Multi-Disk Crash-Consistent Backup — owned the backup story and identity model, expanded compatibility to 100+ Linux distributions, improving backup consistency by 35% and reducing customer-reported data issues by 20%
Engineered backup and restore pipelines for Confidential Virtual Machines with customer-managed encryption via Azure Key Vault and Managed Identity, meeting enterprise security and compliance standards
Mentored interns and led cross-team design reviews with Azure Compute and Networking teams, influencing architectural decisions across service boundaries
Redesigned REST API testing infrastructure, achieving 90%+ automated test coverage, reducing MTTR by 30% and cutting manual QA effort by 50%
Won Microsoft Hackathon — built a reliability automation platform that reduced incident response time across distributed systems

REST APIsMicroservices

Software Engineering Intern, Cloud Infrastructure

Jan 2022 – Jun 2022 · 5 mos · On-site

Shipped a top-requested enterprise feature — Cross Subscription Restore for IaaS VM Backups — collaborating directly with PMs and customers from requirements gathering through production deployment.
Delivered Cross Subscription Restore for IaaS VM Backups, enabling customers to restore backups across Azure subscriptions — directly addressing top-voted customer feedback
Built server-side pipelines for backup/restore of Write-Accelerated Disks, optimizing hardware I/O and networking throughput by 15%
Created a serverless test framework using Python and Azure Functions, cutting test cycle time by 40% — adopted by the broader team as the standard testing approach
Translated PM requirements and customer pain points into technical specs, authored design docs, and drove the feature through code reviews to production

Microsoft AzureSystem Design

Software Engineering Intern, Cloud and Artificial Intelligence

May 2021 – Jun 2021 · 1 mo · Hyderabad · On-site

Designed and shipped an auto-healing infrastructure for Azure Backup that autonomously recovers 95%+ of failed IaaS VM backup jobs — reducing on-call burden and maintaining RPO SLA compliance during outages.
Engineered a fault-detection and retry system in C#/.NET Core that identifies failed backup jobs during Large Scale Incidents (LSI) and autonomously resubmits them, eliminating ~40 hours/week of manual operational toil
Built intelligent classification logic that distinguishes transient failures from permanent errors, reducing false-positive retries and cutting on-call alert noise
Shipped to production as an intern — system now runs autonomously on the Azure Backup platform, handling outage recovery without human intervention

C#.NET Core

Crio.do

Software Engineering Extern, Cloud Architecture

Jan 2021 – Apr 2021 · 3 mos · Bengaluru · Remote

Designed and built an open-source Task Scheduler & Orchestrator Library that abstracts AWS Lambda complexity, enabling teams to create, chain, and schedule serverless workflows without cloud expertise.
Engineered a full-stack orchestration platform (React, Express.js, Docker, AWS Lambda) capable of scheduling and executing 50K–100K Lambda functions under high concurrency with zero performance degradation
Built a conditional workflow engine that chains sequential serverless tasks with programmable logic gates between stages — removing the need for manual step-function configuration
Developed an intuitive React interface that reduced the barrier to entry for serverless adoption, allowing first-time users to deploy Lambda functions in minutes
Containerized the entire platform with Docker for reproducible deployments and published the library as an open-source tool on GitHub

Amazon Web Services (AWS)React.js