Staff DevOps Engineer, ServiceNow
Big Data, Federal
$158.5-277.5k
More information about location
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$158.5-277.5k
More information about location
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- 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
- 6+ years of hands-on experience with Kubernetes in a production environment
- Deep understanding of Kubernetes architecture, concepts, and operations
- Deep understanding of Hadoop/Big Data Ecosystem
- Strong knowledge in querying and analyzing large-scale data using VictoriaMetrics, Prometheus, Spark, Flink, and Grafana
- Experience working with systems such as HDFS, Yarn, Hive, HBase, Kafka, RabbitMQ, Impala, Kudu, Redis, MariaDB, and PostgreSQL
- 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
What the job involves
- 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
- 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
- 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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