Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Production Support Engineer (Kafka) About your role You will be a technology professional contributing across multiple stages of the Software Development Lifecycle. Your primary focus will be production support—covering incidents, change management, problem management, certification support, and monthly patching for production environments. You will support and maintain Kafka‑based data pipelines and job scheduling workflows to ensure reliable and timely processing. Experience with Chronos is preferred but not required—candidates may alternatively bring experience with other enterprise schedulers (e.g., Airflow, Control‑M, Autosys, Kubernetes CronJobs) with willingness to learn Chronos. You will help create production run books, maintain change registers, perform impact analysis, and ensure the overall stability of platforms built on Kafka and scheduling technologies. What you'll do Participate in core production management functions including incident, change, and problem management, collaborating closely with cross‑functional teams to support metrics‑based tracking, planning, risk mitigation, and certification readiness for top‑tier clients. Support Kafka clusters, topics, consumer groups, and message flows to maintain high availability and consistent data processing across production systems. Oversee and troubleshoot job scheduling workflows—with Chronos preferred but optional—ensuring SLA adherence, timely batch execution, dependency handling, and automated recovery for failed tasks. Perform plan reviews and submit high‑quality changes that improve platform resiliency, change hygiene, and operational success for both Kafka and scheduling workloads. Collaborate with production assurance teams to maintain production run books, change registers, automation assets, and process improvements; conduct detailed impact and root‑cause analysis for issues involving data streaming or scheduling components. Provide production support for innovative, high‑quality, large‑scale financial solutions in partnership with engineering and operations professionals. Execute proactive monitoring using tools such as Splunk, Dynatrace, Grafana, and Moogsoft, including building alerts and dashboards to monitor Kafka lag, consumer health, broker performance, and scheduling job status.
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Job Type
Full-time
Career Level
Mid Level