Staff Engineer- DevOps - Hadoop Big Data - Federal

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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 Government Cloud infrastructure.

The Federal Big Data Team has 3 shifts that provide 24x7 production support for our Big Data Government cloud infrastructure. 
This is a 2nd Shift Position - Sunday to Wednesday with work hours from 3 pm Pacific Time to 2 am Pacific Time

Below are some highlights.

• 4 Day work week (Sunday to Wednesday)
• No on-call rotation
• Shift Bonuses for 2nd and 3rd shifts

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 to have a significant impact both on the top-line and bottom-line growth. The Big Data team is responsible for:

• Collecting, storing, and providing real-time access to large amount of data
• Provide real-time analytic tools and reporting capabilities for various functions including:
  • Monitoring, alerting, and troubleshooting
  • Machine Learning, Anomaly detection and Prediction of P1s
  • Capacity planning
  • Data analytics and deriving Actionable Business Insights

What you get to do in this role

• Responsible for deploying, production monitoring, maintaining and supporting Big Data infrastructure, Applications on ServiceNow Cloud and Azure environments.
• Deploy, scale, and manage containerized applications using Kubernetes, docker, and other related tools.
• Automate Continuous Integration / Continuous Deployment (CI/CD) data pipelines for applications leveraging tools such as Jenkins, Ansible, and Docker.
• Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and CI/CD pipelines. Provide expert-level support for incidents and perform root cause analysis.
• Understanding of networking concepts related to containerized environments
• Provide production support to resolve critical Big Data pipelines and 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 in Commercial and Regulated Big Data environments.

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• Deep understanding of Hadoop / Big Data Ecosystem.
• 6+ Experience working with systems such as HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB, and PostgreSQL
• Hands-on experience with Kubernetes in a production environment
• Deep understanding of Kubernetes architecture, concepts, and operations
• Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana
• Experience supporting CI/CD pipelines for automated applications deployment to Kubernetes
• Strong Linux Systems Administration skills
• Strong scripting skills in Bash, Python for automation and task management
• Proficient with Git and version control systems
• Familiarity with Cloudera Data Platform (CDP) and its ecosystem
• Ability to learn quickly in a fast-paced, dynamic team environment

GCS-23

For positions in the Bay Area, we offer a base pay of $158,500 - $277,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Work Personas 

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer 

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations 

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations 

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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