Staff Product Support Engineer - Hadoop Operations

ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
 
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.
 
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.

ABOUT THE ROLE
Staff Product Support Engineers at Acceldata are Hadoop Operations SMEs responsible for designing, optimizing, migrating, and scaling Hadoop- and Spark-based data processing systems. This role involves hands-on experience with Hadoop and other core data operations, focusing on building resilient, high-performance distributed data systems.
 
You will collaborate with Customer Engineering teams to deliver high-throughput Hadoop, NiFi, and Spark applications and solve complex data challenges in migration, upgrades, reliability, and optimize post-migration system performance.
 
This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand. Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.