Staff Engineer- DevOps - Hadoop Big Data - Federal

ServiceNow • Santa Clara, CA

108d • $158,500 - $277,500

About The Position

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. 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.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 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.

Responsibilities

• 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.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• Employee Stock Purchase Plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services