About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products. Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. You will join a team of highly skilled engineers who are responsible for delivering Acceldata’s support services in vendor-agnostic environments. As an Associate Site Reliability Engineer, you will actively learn from experienced team members, contributing to improving the availability, scalability, performance, and reliability of our products and our customers' data lake environments. You will be expected to listen actively to customer concerns and demonstrate empathy in providing solutions. This is an exciting opportunity to grow your technical, business, and interpersonal skills in a dynamic and collaborative environment.
What makes you the right fit for this position?
3+ years of experience (including internships) in working with distributed systems, cloud environments, or data management services is preferred.
Good understanding of Hadoop technologies such as HDFS, YARN, and Hive/Impala, Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager.
Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions).
Exposure to data security and data engineering principles in Hadoop environments is a plus.
Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
We’re looking for someone who can:
Work alongside experienced SREs to improve the availability, scalability, and reliability of enterprise production services, both for Acceldata products and customers’ data lake environments.
Support implementation and troubleshooting for Hadoop data lake clusters under the guidance of senior engineers.
Learn to implement, stabilize, and tune Hadoop ecosystems in vendor-agnostic environments.
Provide technical support for Hadoop Data Lake clusters across multiple data centers.
Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.
