Acceldata

Acceldata is seeking a Principal Engineer to define the technical vision and architecture for its open-source Open Data Platform. The role combines large-scale distributed-systems leadership, open-source community influence, and organization-wide technical direction.

Senior Software Engineer building and scaling the Acceldata Open Data Platform, with a focus on distributed systems, big data, and open-source technologies. The role is based full-time onsite in Bangalore and involves technical leadership, mentoring, and complex infrastructure development.

Join Acceldata as a Site Reliability Engineer modernizing and supporting Hadoop data lake environments across enterprise customer operations. You will improve service availability, scalability, performance, and reliability while developing expertise in distributed systems and customer support.

Lead the architecture and development of a scalable React and TypeScript frontend for a Kubernetes-native data observability platform. Build high-performance dashboards for Kubernetes, Spark, data pipelines, logs, metrics, and traces while mentoring engineers and setting frontend standards.

Staff Software Engineer focused on designing and building scalable backend distributed systems for Acceldata’s data observability platform. The role combines Java development, microservices, system architecture, performance optimization, and technical mentorship.

Build and scale Acceldata’s open-source Open Data Platform for cloud, hybrid, and on-premises environments. This software engineering role focuses on distributed systems, observability, performance, and enterprise data platforms.

Lead the development of scalable distributed data systems built on Apache open-source technologies while serving as an active open-source committer. This Staff Engineer role combines deep software engineering, architecture, troubleshooting, and community leadership.

Lead SDET responsible for assuring the quality, performance, and reliability of Pulse’s large-scale Hadoop and distributed data systems. The role centers on automated testing, performance analysis, defect resolution, and driving quality improvements across engineering teams.