Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.
At Acceldata, We are revolutionizing data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organization's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.
About the Role: We are looking for a Staff Engineer (Apache Open Source Committer and Contributors) to lead the development of a data platform built on Apache open-source technologies. In this role, you will design, implement, and optimize distributed data systems while actively contributing to the open-source community. You will work with cross-functional teams to address technical challenges, ensure system scalability, and improve performance. As an Apache committer, you will drive the technical direction of the project, submit patches, and review contributions to enhance functionality, security, and reliability.
This role offers the opportunity to build cutting-edge data solutions, influence the open-source ecosystem, and collaborate with industry experts. Your contributions will have a lasting impact on both the data platform and the broader open-source community.
You are a great fit for this role if you have
- Enthusiasm for the open-source projects, with a focus on improving the ecosystem, driving innovation, and contributing back to the community.
- Extensive hands-on experience in configuring storage and related components, troubleshooting complex software defects, including reproducing issues from written descriptions, using effective techniques to identify root causes, navigating large codebases, and developing both temporary workarounds and permanent solutions.
- Ability to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
- Strong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment without introducing new problems.
- Expertise in guiding teams to implement systems and subsystems effectively, translating business requirements into actionable designs.
- Ability to quickly learn new technologies
What we look for:
- 9+ years of experience in software engineering, with at least 4-5 years actively contributing to open-source projects, ideally within the Apache ecosystem.
- Lead technical discussions within the community, define architecture improvements, and ensure code quality through reviews and mentorship.
- Deep knowledge of one or more Apache projects (e.g., Hadoop, Kafka, Spark, Hive, Flink) and their underlying architecture.
- Proficiency in programming languages such as Java, Python, Scala, or Go is preferred. Experience with distributed computing and high-performance applications is also highly preferred.
- Proven track record of making significant contributions to open-source projects, including submitting patches, reviewing contributions, and interacting with the community.
- Strong ability to collaborate with internal teams, external contributors, and the wider open-source community.
- Experience deploying and managing open-source solutions in both cloud (AWS, Azure, GCP) and on-premise environments.
- Actively address bug reports, security vulnerabilities, and contribute to project maintenance, ensuring that software remains up-to-date with the latest standards.
- Excellent written and verbal communication skills with a demonstrated ability to articulate complex technical concepts clearly.
Top Skills
Apache
AWS
Azure
Flink
GCP
Go
Hadoop
Hive
Java
Kafka
Python
Scala
Spark
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