ServiceNow

Senior Hadoop Admin - Big Data - Federal - 2nd Shift

Join ServiceNow as a Senior Hadoop Admin in Kirkland, WA. Leverage your Big Data and Kubernetes skills to support federal cloud infrastructure. Benefits include health plans, 401(k) match, and equity.

ServiceNow Role Type:
Department - JobBoardly X Webflow Template
Sales
ServiceNow Modules:
Department - JobBoardly X Webflow Template
DevOps
ServiceNow Certifications (nice to have):

Job description

Date - JobBoardly X Webflow Template
Posted on:
 
October 2, 2025

ServiceNow is seeking a Staff DevOps Engineer to support their US Federal Government Cloud Infrastructure. This 2nd shift position, currently working Sunday to Wednesday, provides 24x7 support for their Big Data government cloud infrastructure. The role focuses on deploying, scaling, and maintaining containers and applications, ensuring optimal performance and addressing critical issues. This is a critical role for delivering state-of-the-art monitoring, analytics, and business insights.

Requirements

  • Experience with Hadoop / Big Data Ecosystem
  • 6+ Years of Experience with systems like HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB and PostgreSQL
  • Deep Understanding of Kubernetes architecture
  • Strong knowledge of querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana
  • Experience with CI/CD pipelines for automated applications deployment to Kubernetes
  • Strong Linux Systems Administration skills

Benefits

  • Health plans
  • 401(k) Plan with company match
  • Equity
  • Variable/incentive compensation
  • Benefits including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs
  • Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure

Requirements Summary

6+ years experience with Hadoop/Big Data. Kubernetes knowledge and experience. Strong skills in querying data, automating CI/CD pipelines. Experience supporting pipelines for deployment to Kubernetes