Palash Jain

About Palash Jain

I’m a Senior Software Engineer with over a decade of experience designing and building large-scale, distributed, and resilient systems. My work has spanned across high-impact domains including cloud migration, enterprise SaaS platforms, and content management systems, where I’ve consistently focused on scalability, performance, and reliability.At Atlassian, I’m currently part of the team building the Jira Migration Platform — enabling seamless migration of large enterprise customers from on-premise to cloud. I design systems that handle massive data volumes, maintain strict consistency, and ensure high availability for business-critical migrations in real time. The platform is built using Kotlin, Kafka, and a microservices architecture, emphasizing fault-tolerant, event-driven design.Previously at Adobe, I led the development of core services powering Adobe Content Services and Adobe Sign, building scalable microservices, optimizing data stores like MongoDB, and driving cross-product integrations. My experience includes both backend (Java, Kotlin) and systems-level (C++) development, along with mentoring teams, conducting design reviews, and leading architectural initiatives.I’m passionate about building reliable distributed systems, simplifying complex workflows, and ensuring that technology enables seamless customer experiences at scale. Key Highlights10+ years of experience in distributed systems, microservices, and event-driven architecturesDeep expertise in Java, Kotlin, Kafka, and cloud-native systemsProven track record in scalable system design, data migration, and integration engineeringExperience leading cross-functional teams and mentoring engineersStrong believer in resilient design, observability, and continuous improvement

Experience

1. Senior Software Engineer

   Atlassian

   Aug 2024 — Present · Bengaluru, IN

   Project: Jira Cloud Migration PlatformArchitected and developed a high-scale migration platform to enable enterprise Jira customers to transition from on-premise to cloud with zero data loss.Infrastructure Impact: Optimized system architecture using Kafka and Redis to reduce customer downtime from 3–4 days to just a few hours, facilitating seamless transitions for millions of entities. Reliability Engineering: Implemented robust observability and fault-tolerant patterns that increased system reliability by 70%, ensuring uninterrupted global workflows.Ensured fault tolerance and idempotency across distributed services to handle live incremental data changes during migration.Implemented workflow orchestration and retry mechanisms to support complex multi-stage migration processes.Led design discussions and technical reviews to improve system scalability, reliability, and developer productivity.Tech Stack: Kotlin, Kafka, AWS, Docker, Microservices, Redis, Spring Boot

Education

• NIT Delhi

  B.Tech, Computer Science

  2010 — 2014