Company Description

ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We're growing fast, innovating faster, and making an impact on our customers' and employees' lives in significant and important ways. With over 6,900 customers, we serve approximately 80% of the Fortune 500, and we're on the 2020 list of FORTUNE World's Most Admired Companies.®

We’re looking for people who are ready to jump right in and help us build on our incredible momentum, our diverse, engaged workforce, and our purpose to make the world of work, work better.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Job Description

Please Note: This position will include supporting our US Federal customers.

“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 will be considered”

Team

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:

• Building, deploying, maintaining, and managing Big Data applications based on established best practices and ensuring availability, performance, scalability, and security of the Big Data systems. This is achieved using Software Configuration Management (SCM) and Build tools such as Git, GitLab, Nexus, Maven, Grunt and Node.Js.
• Establishing Continuous Integration, and Continuous Deployment (CI/CD) pipelines for applications using tools such as Jenkins, Docker and Ansible.
• Providing production support to resolve critical build and release issues and mitigating or minimizing any impact on Big Data applications. Providing support to Development, QA and System engineering teams in replicating complex issues leveraging experience with Build tools, Jenkins, CI/CD, Ansible etc
• Enhancing build and release tools with new requirements from different stakeholders by ensuring that the technical specifications meet business needs. This involves automating build, release, deployment and configuration management system of non-prod and production environments using RPMs and scripting languages like Perl, Python, Bash and Groovy.
• Supporting Cloudera based production Big Data analytics platform which includes resolving incident tickets created by Site Reliability Engineers (SRE).
• Performance tuning and troubleshooting of various Hadoop components and other data analytics tools in the environment: HDFS, YARN, Hive, HBase. Spark, Kafka, RabbitMQ, Impala, Kudu, Redis, Kerberos, Tableau, Grafana and Prometheus.
• Responsible for enforcing data governance policies in Commercial and Regulated Big Data environments.
• Perform production monitoring and support for Big Data infrastructure and Big Data applications in ServiceNow cloud and Azure cloud. 

Qualifications

To be successful in this role you have:

• Expert level experience in Software Configuration Management (SCM) and Build tools such as Git, GitLab, Nexus, Maven, Grunt and Node.js.
• Demonstrated experience in many of these technologies - Jenkins, Ansible, Terraform, Puppet, Docker, Kubernetes orchestration and similar technologies
• Demonstrated experience involving automating builds, release and configuration management system of non-prod and production environments using RPMs and scripting languages like Perl, Python, Bash and Groovy.
• Good knowledge in Querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Streaming and working on systems like HDFS, YARN, Hive, HBase. Spark, Kafka, RabbitMQ, Impala, Kudu, Redis, Tableau, Grafana and Prometheus.
• Experience securing Hadoop stack with Sentry, Ranger, LDAP, Kerberos KDC
• Experience supporting CI/CD pipelines on Cloudera on Native cloud and Azure/AWS environments
• In-depth knowledge of Linux internals (Centos 7.x) and shell scripting
• Ability to learn quickly in a fast-paced, dynamic team environment
• Required BS Degree in Computer Science or equivalent experience
• 10+ years of overall experience with at least 3+ years as a Big Data DevOps / Release Engineer

JB0017554

Additional Information

ServiceNow is an Equal Employment 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.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

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

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