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.
Watch this video here to learn more about our culture and get a sense of what it’s like to work at PulsePoint!
What you’ll be doing:
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.
Who are you:
Collaboration is in your DNA. You enjoy contributing to a mutual cause, that is why you know when the team succeeds, you succeed.
You are always looking for ways to grow your skills. You are hungry to learn new technologies and share your insights with your team.
You like a big picture perspective and also digging into the fine details. You can think strategically but also dive into complex systems and break them down and build them back better.
You are a proactive problem solver. You are irked by an unreliable infrastructure and your first instinct is to find ways to fix it.
What you’ll need:
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.).
Solid understanding of networking fundamentals (TCP/IP, DNS, load balancing, basic network security concepts).
Comfortable taking technical ownership, driving reliability improvements, and participating in on-call / incident processes.
Willing and able to work East Coast U.S. hours (9am–6pm EST).
Bonus (not all required):
Experience with Trino and Iceberg as large-scale analytical query engines.
Experience administering Percona XtraDB Cluster or other HA databases.
Hands-on experience with Ceph or other distributed storage systems.
Strong background in observability platforms (Prometheus, Grafana, Graphite, ELK, Icinga).
Experience with configuration management (Puppet or similar).
Familiarity with Docker and Kubernetes in production environments.
Ability and interest in mentoring junior engineers and setting operational standards.
Background in AdTech, real-time data systems, or low-latency / high-throughput environments.
Selection Process:
Initial Screening Call (30 mins)
Team Lead Screening (30 mins)
Technical Interview with SREs (1 hour)
General Discussion with VP of Data Engineering (30 mins)
Technical Interview with Principal Architect (1 hour)
Meet & Greet w/ SVP of Engineering (15 mins)
Final Video Call with Sr. Director of Data Management at WebMD (30 mins)
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
