7 months ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the design, development, and implementation of complex features for the open-source data platform.
- Architect scalable, robust, high-performance, and reliable solutions.
- Mentor and guide junior software engineers.
- Drive technical discussions and advise on technology selection and engineering best practices.
- Contribute to the strategic direction of the Open Source Data Platform project.
- Perform code reviews focused on quality, maintainability, and standards.
- Work across bare-metal, virtual-machine, and Kubernetes environments.
- Debug threads, deadlocks, memory leaks, and performance bottlenecks in complex software systems.
Requirements
- At least 7 years of experience in distributed systems or data platform development.
- Proficiency with Linux, including automation, troubleshooting, and Linux shortcuts.
- Familiarity with Kubernetes, Docker, and cloud environments.
- Ability to manage threads and diagnose deadlocks and memory leaks.
- Strong understanding of garbage collection tuning and management.
- Advanced hands-on experience with Java, Scala, or Python.
- Experience developing project build models with Maven, Gradle, or SBT.
- Experience managing and using GitHub and Nexus.
- Strong understanding of software engineering, database concepts, virtualization, and architectural patterns.
- Significant contributions to prior projects and experience fixing bugs and developing features in complex software systems.
- Experience with big data stacks or ecosystem components and appropriate application-development frameworks.
- Experience mentoring junior engineers on critical issues or tasks.
- Fluent English communication and the ability to present technical accomplishments and strategic insights to senior leadership.
- Ability to collaborate with internal teams, external contributors, and the open-source community.
- Preferred experience contributing to or serving as a committer for Apache projects.
- Preferred experience identifying performance bottlenecks in big data applications and frameworks.
- Preferred experience migrating applications, Hadoop-based distributions, or data-streaming platforms.
- Preferred familiarity with distributed systems and architectures optimized for scalable data processing.
Benefits
- Full-time onsite position requiring five days per week in the Bangalore office.
- Opportunity to work on mission-critical data platforms operating at petabyte scale.
- Opportunity to contribute to open-source technologies and collaborate with open-source contributors.
Tech Stack
Apache HadoopApache HiveApache KafkaApache SparkDockerGradleJavaKubernetesLinuxMavenMLflowPythonScala
Categories
BackendData Engineering
About Acceldata
Acceldata builds an agentic data management and data observability platform for enterprises to monitor data pipelines, data quality, and compute performance, and deliver trusted data for AI and analytics. It sells enterprise software, delivered as a cloud service or on‑premises, with subscriptions and professional services for deployment and integration. Founded in 2018 and headquartered in Campbell, California, it serves global enterprises including Nestlé, Dun & Bradstreet, Hershey, PhonePe, and TPG Telecom, and raised a Series C in 2023.