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About PulsePoint: PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.
Job Responsibility:
Deploying, configuring, monitoring and maintaining multiple big data stores across multiple datacenters, with a strong focus on reliability, scalability, and operational excellence
Perform planning, configuration, deployment, and lifecycle management of critical data infrastructure
Managing large-scale Linux infrastructure to ensure maximum uptime and predictable performance
Developing and documenting system configuration standards, operational procedures, and best practices
Performance and reliability testing, including reviewing configuration, software choices, versions, and hardware specifications
Participating in incident response, root cause analysis, and driving long-term reliability improvements
Advancing our technology stack with innovative ideas and pragmatic solutions
Requirements:
Strong hands-on experience operating large-scale Linux infrastructure in production (Rocky Linux or equivalent)
Deep practical knowledge of Apache Hadoop-based data platforms, including: HDFS architecture and failure modes, Kerberos-based security models, Operational lifecycle (upgrades, scaling, recovery)
Experience running Apache Kafka clusters in production, including KRaft-based setups
Proven ability to debug complex distributed system issues across storage, compute, and networking layers
Experience designing or improving automation, deployment, or GitOps-style workflows
Proficiency in scripting or automation (Python, Shell, etc.)