S

Sai Vishnu Bhyravajosyula

Software Engineer

United States14 yrs 1 mo experience

Key Highlights

  • Architected large-scale data migration solutions for Fortune 500 companies.
  • Co-inventor of two patents in predictive systems and secure authentication.
  • Expert in building resilient, scalable systems for AI-driven platforms.
Stackforce AI infers this person is a SaaS architect specializing in distributed systems and large-scale data migration.

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Skills

Core Skills

Distributed SystemsData MigrationCi/cdSoftware DesignSoftware Development

Other Skills

Data ArchitectureFault ToleranceCollaborationAWSShardingPostgreSQLPythonTemporalJavaMySQLJavaScriptGitAndroidShell ScriptingHTML

About

I am a Principal Software Engineer with 14+ years of experience architecting distributed systems that operate at the extremes of scale — high throughput, low latency, and zero tolerance for failure. Currently leading an initiative to migrate data into Atlassian Platform where I am a tech lead to a team of 9. My work has consistently delivered 5x–10x scale improvements for some of the world's most demanding engineering environments, including Atlassian, Salesforce, AWS, Confluent, and Uber. What I Build - I specialize in the data portability at hyperscale, cross-region migration, storage architecture, and the infrastructure that powers next-generation AI platforms. - At Atlassian, I am architecting the large-scale data migration infrastructure that transitions massive enterprise datasets from Jira Align into the new Strategy Collection — directly enabling the Teamwork Graph that powers Rovo AI. This work is foundational to how global enterprises unify strategic vision with intelligent, AI-driven collaboration. - At Salesforce, I built a custom inter-cluster and cross-region data migration platform moving millions of records every week using Temporal and AWS, and designed an application-level sharding solution for Aurora PostgreSQL to scale one of Service Cloud's most data-intensive storage platforms under high-growth conditions. - As a founding engineer at AWS CodeArtifact, I built AWS Artifact from the ground up — a secure artifact storage platform now serving thousands of requests per second for enterprises worldwide. Patents & Innovation - US Patent 9,881,255 — Co-invented a predictive system using logistic regression to model user behavior and automate delivery acceleration through intelligent prefetching and caching. - US Patent 10,305,911 — Developed innovations in secure user authentication and identity verification workflows designed for scale. Community & Thought Leadership Serving as a judge and mentor at hackathons, contributing to STEM initiatives, and writing technical articles that translate hard-won architectural lessons into practical insights for engineers navigating complex distributed systems challenges. What Drives Me My career has been defined by one consistent ability: bridging the gap between complex architectural challenges and high-impact business outcomes. Whether it's moving petabytes of enterprise data, scaling storage infrastructure, or laying the data foundation for AI-powered products — I build systems that are resilient, scalable, and built to last.

Experience

14 yrs 1 mo
Total Experience
1 yr 11 mos
Average Tenure
9 mos
Current Experience

Freelance | self-employed

Thought Leader

Sep 2025Present · 8 mos

  • Sharing deep expertise at the intersection of distributed systems, large-scale data infrastructure, and AI-powered platforms — helping engineering communities, enterprises, and technical leaders navigate the complexities of modern software architecture.
  • Producing in-depth technical content on large-scale data migration, distributed systems design, database sharding, and cloud-native architectures — drawing from hands-on experience across Atlassian, Salesforce, Confluent, Uber, and AWS.
  • Building a community of engineering practitioners focused on scalable data infrastructure, platform engineering, and the evolving role of AI in enterprise software.

Atlassian

Principal Software Engineer

Aug 2025Present · 9 mos

  • Architecting and leading large-scale data portability solutions to seamlessly migrate enterprise data from legacy systems to Atlassian's platform (like Goals and Strategy Collection) — enabling the powerful Teamwork Graph that sits at the heart of Rovo AI.
  • Designing and engineering high-throughput, fault-tolerant data movement pipelines trusted by Fortune 500 enterprises, ensuring zero data loss and minimal disruption during complex migrations at scale.
  • Driving the foundational data infrastructure that powers Rovo AI's intelligent insights — enabling enterprise teams to unlock smarter collaboration, automated workflows, and AI-driven decision-making across Atlassian's product ecosystem.
  • Partnering cross-functionally with platform, product, and AI teams to define the data architecture strategy that bridges existing enterprise systems with Atlassian's modern cloud-native platform.
  • Delivering $M+ platform value by accelerating enterprise customers' transition to Atlassian's unified platform, directly expanding Rovo AI adoption across Fortune 500 organizations.
  • Establishing engineering best practices, leading technical design reviews, and mentoring engineers across teams to raise the bar on reliability, scalability, and data integrity.
Distributed SystemsData MigrationData ArchitectureFault ToleranceCollaboration

Salesforce

Lead Member of Technical Staff

Jan 2024May 2025 · 1 yr 4 mos

  • Led the architecture and engineering of mission-critical infrastructure for Service Cloud's Conversation Storage Platform trusted by Fortune 500 enterprises.
  • Architected and built a custom, production-grade platform for continuous inter-cluster and cross-region data migration, reliably moving millions of records every week at hyperscale — leveraging Temporal and AWS to ensure fault tolerance, observability, and zero data loss across complex distributed environments.
  • Spearheaded the design and implementation of a custom application-level sharding solution for Aurora PostgreSQL, enabling horizontal scaling across multiple writers to address the challenges of high-growth storage demands — delivering $M+ in infrastructure efficiency and future-proofing the platform for enterprise-scale workloads.
  • Partnered with senior leadership to define the long-term evolution of scalable, compliant, and enterprise-grade conversation storage.
  • Mentored and coached a team of ~10 engineers, conducting design reviews, establishing best practices for distributed systems, and accelerating the technical growth of both junior and senior engineers across the org.
AWSDistributed SystemsData MigrationShardingPostgreSQL

Confluent

Senior Software Engineer II

Feb 2022Jun 2023 · 1 yr 4 mos · Seattle, Washington, United States

  • − Lead the design and implementation of an unified self hosted CI system which is an abstraction around Jenkins and 3p CI server (Semaphore)
  • − Built a new service that takes user provided configuration to auto manage the source code repository permissions.
  • Worked on standardising the Developer productivity metrics (DORA) across the company.
  • − Worked on building several CI tools that were used for several operational needs.
  • Building frameworks for local cloud service development.
  • Technologies Used: Python, Go, Java, Jenkins, Aurora Postgres.
AWSDistributed SystemsPythonTemporalJavaCI/CD

Uber

Senior Software Engineer

May 2020Dec 2021 · 1 yr 7 mos · India

  • Marchant CRM:
  • Architect and lead engineer working on building a new CRM platform for the restaurants.
  • Built a large scale service that manages the merchant stories/ Eater testimonials/ Campaign promotions for both SMBs and enterprises
  • Grew the team from 2 engineers to 8+
  • DineIn:
  • Lead engineer on the UberEats DineIn feature.
  • Launched Dinein in ANZ region
Distributed SystemsJavaSoftware Design

Amazon web services (aws)

Software Development Engineer

Oct 2013Oct 2019 · 6 yrs · Seattle, Washington, United States

  • AWS CodeArtifact:
  • Designed & built the multi-tenet storage layer of a large scale system that can handle de-duplication and encryption.
  • Worked on cross region replication of the data to help customers with disaster recovery.
  • AWS Silk:
  • Working on the AWS Silk (Amazon browser) team, developing software to make the next generation silk browser give unique and awesome experience.
  • 1. Built a secure metrics collection and storage connector which handles a scale of 2000 TPS along with a fat client that does the heavy lifting of transferring the metrics to the service.
  • 2. Built a brand new lite weight Browser for the developing countries.
  • https://play.google.com/store/apps/details?id=com.amazon.cloud9.garuda
  • 3. Built a Kids Browser for kids, tween & teens on both Kindle and Android platforms
  • https://www.amazon.com/All-New-Amazon-Fire-7-Kids-Edition-Tablet/dp/B01J90MSDS/
  • 4. Built the backend services, data pipelines for the Amazon’s Silk browser that handle the large datasets to generate features like ”Trending pages on the web” and ”the in-browser recommendations”.
  • Technologies used: Java, AWS, EMR, DynamoDB, Aurora Postgres
AWSDistributed SystemsJavaSoftware Design

Amazon

SDE-Intern

May 2012Aug 2012 · 3 mos · Greater Seattle Area

  • Interned with Amazon Business Intelligence(SIB) Team.
  • Responsibilities are developing Amazon Internal Tools and services for the Team.
  • Technologies used Include Java,J2EE,Javascript,Ajax,CSS.

Massively parallel technologies

Advanced Software Engineer

Jan 2012Sep 2013 · 1 yr 8 mos · Tempe

  • Full stack development.
  • Technologies include Flex Action Script, Java & Mysql
JavaMySQLSoftware DesignSoftware Development

Tata consultancy services

Assistant Systems Engineer

Feb 2010Jul 2011 · 1 yr 5 mos · Hyderabad,Banglore

  • Worked On Datawarehousing and BI tools like Informatica,SAP Business Objects.

Education

Arizona State University

Master of Science (MS) — Computer Science

Jan 2011Jan 2013

G. Pulla Reddy Engineering College

Bachelor of Technology - BTech — Computer Science

Jan 2005Jan 2009

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