Senior Software Engineer - Open Data Platform (ODP)
at Acceldata
Bengaluru, onsite, senior, full time, 7+ years
posted 30 Mar 2026
- Java
- Maven
- Pinot
- SBT
- Nexus
- Scala
- GitHub
- Hadoop
- Kafka
- Hive
- Linux
- Docker
- MLFlow
- Trino
- Gradle
- Spark
- NiFi
- Kubernetes
- Python
About the role
Posted: 2026-03-30
About Acceldata At Acceldata, we are redefining how enterprises manage, observe, and optimize their data platforms. Our mission is to deliver a unified enterprise-grade data observability and modernization platform that integrates seamlessly across cloud, hybrid, and on-premises environments. The Acceldata Open Data Platform (ODP) brings together the best of the modern data ecosystem, including technologies such as Hadoop, Spark, Hive, Trino, Kafka, NiFi, MLFlow, Pinot and more, to help organisations run complex analytical workloads at scale while maintaining flexibility and avoiding vendor lock-in. Product Link : https://www.acceldata.io/open-data-platform
We are seeking a Senior Software Engineer with a minimum of 7 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure. This is a full-time, on-site position with 5 days working from Bangalore office
What you would do
- Lead the design, development, and implementation of complex features for the Open Source Data Platform.
- Architect scalable and robust solutions, ensuring high performance and reliability.
- Mentor and guide junior software engineers, fostering a culture of continuous learning and growth.
- Drive technical discussions and provide expertise in technology selection and best practices.
- Contribute to the strategic direction of the Open Source Data Platform project.
- Perform thorough code reviews, ensuring code quality, maintainability, and adherence to standards.
- Work across diverse environments: Bare Metals, VM, and Kubernetes.
Mandatory Skills & Qualifications - Mandatory Linux proficiency for automation and efficient use of Linux shortcuts for troubleshooting.
- Familiarity with Kubernetes, Docker, and cloud environments.
- Ability to manage threads and debug issues related to deadlocks or memory leaks.
- Strong comprehension of garbage collection tuning and management challenges.
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