Staff Engineer, ServiceNow

DevOps, Hadoop Big Data, Federal

$158.5-277.5k

Salary applicable to candidates in Bay Area and may vary in further locations. + Variable/Incentive Compensation + ESPP

SQL

Docker

Kubernetes

Python

Kafka

Redis

Bash

Linux

Postgres

Jenkins

Ansible

Hadoop

Azure

Spark

HBase

RabbitMQ

Prometheus

Grafana

Yarn

Flink

Hive

Git

ServiceNow

Senior and Expert level

San Francisco Bay Area

Remote from US

More information about location

Cloud-based digital workflows for enterprises

Be an early applicant

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Be an early applicant

$158.5-277.5k

Salary applicable to candidates in Bay Area and may vary in further locations. + Variable/Incentive Compensation + ESPP

SQL

Docker

Kubernetes

Python

Kafka

Redis

Bash

Linux

Postgres

Jenkins

Ansible

Hadoop

Azure

Spark

HBase

RabbitMQ

Prometheus

Grafana

Yarn

Flink

Hive

Git

ServiceNow

Senior and Expert level

San Francisco Bay Area

Remote from US

More information about location

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Job

Company

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
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

What the job involves

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

Top investors

16% employee growth in 12 months

Glassdoor (4.3)

Trustpilot (2)

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

(Founder & Chairman Of The Board)

Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 141 more jobs at ServiceNow