Kunj Patel — Senior Software Engineer

Senior Software Engineer with 6+ years of experience designing and operating large-scale distributed systems and cloud infrastructure, currently building core platform services at Amazon Web Services (AWS). My work focuses on high-reliability backend systems operating at global scale, powering infrastructure used by millions of customers worldwide. I specialize in distributed workflows, cloud platform architecture, large-scale data migrations, and performance engineering. At AWS Organizations, a Tier-1 AWS service responsible for global account governance, I have contributed to several major platform capabilities. Key highlights: • Launched AWS Direct Account Transfer at AWS re:Invent 2025, enabling millions of AWS accounts to move seamlessly across organizations while preserving governance and billing relationships. • Designed distributed state-transition workflows integrating IAM, AWS Organizations, DynamoDB, and AWS Step Functions across all commercial and government AWS regions. • Delivered a 500K+ organization migration from SQL to DynamoDB with zero downtime, unlocking significant scalability improvements for AWS Organizations. • Built automated load-testing frameworks using Java, JMeter, and CloudWatch, reducing service latency by 80% and improving performance by 50%. Previously, I worked on the Alexa Together platform, designing distributed backend services and event-driven architectures supporting 100K+ users using AWS Lambda, DynamoDB, API Gateway, and SQS. Earlier, I contributed to the AWS API Gateway platform, building Go-based monitoring agents and telemetry pipelines for infrastructure handling 1B+ API requests per day, enabling faster detection of production anomalies. Beyond backend systems, I have strong foundations in machine learning and intelligent systems, including reinforcement learning, computer vision, and data analytics. My research on traffic optimization using Q-Learning was published in an international journal. I hold 2 master’s degrees: • MS in Computer Science (GPA 4.0) – (Machine Learning & Intelligent Systems) • MS in Engineering Management (GPA 4.0) – completed while working full-time at Amazon, focusing on engineering leadership and large-scale system execution. Technologies: • Java, Python, Go, C/C++, TypeScript, JavaScript, Scala, Kotlin • AWS (EC2, VPC, S3, IAM, DynamoDB, Lambda, API Gateway, CloudWatch, SQS, SNS, EKS/Kubernetes, Kafka) • Microservices, Event-Driven Architecture, Distributed Systems Hadoop, Spark, Redis, Cassandra, MongoDB Docker, Git, CI/CD, Maven, Gradle, JMeter.

Stackforce AI infers this person is a Cloud Computing and Machine Learning expert with a focus on scalable backend systems.

Location: Seattle, Washington, United States

Experience: 10 yrs 3 mos