Product Support Engineer - Cloud Support

February 6

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Acceldata

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Acceldata is a leading enterprise data observability company that provides comprehensive solutions for ensuring data quality, reliability, and cost efficiency in multi-cloud and hybrid data environments. Acceldata's platform offers observability across various aspects of data operations, including data quality, pipeline, infrastructure, user, and cost observability. By integrating seamlessly with cloud platforms, data warehouses, and BI tools, Acceldata helps enterprises manage large-scale data operations, enhance data reliability, and optimize performance. With a focus on improving data infrastructure reliability and efficiency, Acceldata supports a wide range of industries, including financial services, manufacturing, consumer packaged goods, retail, and life sciences.

Data observability • Data reliability • Data discovery • Data pipeline monitoring • Data quality monitoring

201 - 500 employees

Founded 2018

🏢 Enterprise

☁️ SaaS

📋 Description

• 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. • It helps build and operate great data products. • Enterprise Data Observability is at the intersection of AI, LLMs, Analytics, and DataOps. • Acceldata provides mission-critical capabilities to deliver trusted and reliable data to power enterprise data products. • Solutions embraced by global customers include HPE, HSBC, Visa, and many more. • Acceldata is a Series-C funded company.

🎯 Requirements

• 8-12 years of Experience with a highly-scalable, distributed, multi-node environment (50+ nodes). • Prior enterprise support experience in a technical environment. • At least 2+ years of experience managing and supporting a cloud infrastructure on any 3 platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP). • Docker and Kubernetes configuration and troubleshooting, including Helm charts, storage options, logging, and basic kubectl CLI. • Excellent communication skills in English (written and verbal) • Strong troubleshooting skills (TCP/IP, DNS, File system, Load balancing, database, Java). • Bachelor degree in Computer Science or Engineering or equivalent experience. • Expertise in Hadoop operations (Zookeeper, HDFS, YARN, Hive, Nifi, and related components such as Hive Metastore, Cloudera Manager/Ambari, etc.) • Authentication and security configuration and tuning (KNOX, LDAP, Kerberos, SSL/TLS, second priority: SSO/OAuth/OIDC, Ranger/Sentry). • Java troubleshooting, e.g., collection and evaluation of jstacks, heap dumps.

🏖️ Benefits

• Flexible PTO Plan • Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans • Discounts and offerings through major vendors through our PEO • Apple Air Mac Equipment • Becoming part of the team who’s coined the term “Data Observability”!