Staff Software Engineer - Big Data DevOps

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

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

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

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:

What you get to do in this role:

• 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

Qualifications

To be successful in this role you have:

• 6+ years experience in DevOps for Cloudera Hadoop infrastructure
• Expert level experience in delivering end-end deployment automation leveraging Puppet, Ansible, Terraform, Jenkins, Docker, Kubernetes or similar technologies.
• Deep understanding of Hadoop/Big Data Ecosystem. Good knowledge in Querying and analyzing large amounts 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, Hue, Tableau, Grafana, MariaDB, 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
• Good knowledge of Perl, Python, Bash, Groovy and Java.
• In-depth knowledge of Linux internals (Centos 7.x) and shell scripting
• Ability to learn quickly in a fast-paced, dynamic team environment

GCS-23

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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

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