almost 2 years ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, implement, and optimize distributed data systems built on Apache open-source technologies.
- Lead technical discussions, define architecture improvements, and guide teams in implementing systems and subsystems.
- Submit patches, review contributions, mentor contributors, and help drive the technical direction of the project.
- Troubleshoot complex software defects, reproduce reported issues, identify root causes, and develop workarounds and permanent solutions.
- Address bug reports and security vulnerabilities while maintaining software quality, reliability, performance, and currency.
- Collaborate with internal teams, senior leadership, external contributors, and the broader open-source community.
Requirements
- 9+ years of software engineering experience, including at least 4–5 years actively contributing to open-source projects, ideally in the Apache ecosystem.
- Deep knowledge of one or more Apache projects such as Hadoop, Kafka, Spark, Hive, or Flink and their underlying architectures.
- Strong coding, debugging, troubleshooting, and large-codebase navigation skills.
- Proficiency in one or more of Java, Python, Scala, or Go; experience with distributed computing and high-performance applications is highly preferred.
- A proven record of significant open-source contributions, including submitting patches, reviewing contributions, and engaging with the community.
- Experience deploying and managing open-source solutions in AWS, Azure, or GCP cloud environments and on-premise environments.
- Ability to communicate complex technical concepts clearly, collaborate across teams, and guide technical implementation.
Tech Stack
Apache FlinkApache HadoopApache HiveApache KafkaApache SparkAWSAzureGoGoogle Cloud PlatformJavaPythonScala
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.