Please Note:  This position will include supporting our US Federal Government Cloud Infrastructure.This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening.  Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
As a Staff DevOps Engineer on our Big Data Federal Team, you will help deliver 24x7 support for our Cloud infrastructure.The Big Data team plays a critical and strategic role in ensuring that ServiceNow can exceed the availability and performance SLAs of the ServiceNow Platform-powered Customer instances - deployed across the ServiceNow cloud and Azure cloud.  Our mission is to:Deliver state-of-the-art Monitoring, Analytics and Actionable Business Insights by employing new tools, Big Data systems, Enterprise Data Lake, AI, and Machine Learning methodologies that improve efficiencies across a variety of functions in the company: Cloud Operations, Customer Support, Product Usage Analytics, Product Upsell Opportunities, enabling a significant impact on both the top-line and bottom-line growth.The Big Data team is responsible for:Collecting, storing, and providing real-time access to a large amount of dataProvide real-time analytic tools and reporting capabilities for various functions, including:Monitoring, alerting, and troubleshootingMachine Learning, Anomaly Detection, and Prediction of P1sCapacity planningData analytics and deriving Actionable Business InsightsWhat you get to do in this role:Responsible for deploying, monitoring, maintaining and supporting Big Data infrastructure and applications on ServiceNow Cloud and Azure environments.Deploy, scale, and manage containerized Big Data applications using Kubernetes, docker, and other related tools.Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and data pipelines. Provide expert-level support for incidents and perform root cause analysis.Triage network-related issues in a containerized environment.Provide production support to resolve critical Big Data pipelines, application issues, and mitigating or minimizing any impact on Big Data applications. Collaborate closely with Site Reliability Engineers (SRE), Customer Support (CS), Developers, QA and System engineering teams in replicating complex issues leveraging broad experience with UI, SQL, Full-stack and Big Data technologies.Responsible for enforcing data governance policies and the Definition of Done (DoD) in all Big Data environments.Install, configure, and upgrade Tableau Server in a clustered environment. Manage user licensing, site administration, and content permissions.Monitor Tableau Server performance, health, and usage; perform tuning to ensure optimal performance. Automate server monitoring and maintenance tasks using scripting (e.g., PowerShell, Python) and the Tableau Services Manager (TSM) CLI.Manage Tableau data source connections, extracts, and refresh schedules.Implement and manage security best practices for the Tableau environment, including user authentication (SAML, Active Directory) and content-level security.