Staff DevOps Engineer

We are seeking a skilled engineer with exceptional DevOps skills to join our team. Responsibilities include automating and scaling Big Data and Analytics technology stacks on Cloud infrastructure, building CI/CD pipelines, setting up monitoring and alerting for production infrastructure, and keeping our technology stacks up to date.

What you get to do in this role:

- Deploy, scale, and manage containerized Big Data applications using Kubernetes, docker, and other related tools.
- Proactively identify and resolve issues within Kubernetes clusters, containerized applications, and data pipelines. Provide expert-level support for incidents and perform root cause analysis.
- DevOps & Automation: Implement CI/CD automation, GitOps workflows, Infrastructure-as-Code mastery, and automate using Python, Bash, and Go for infrastructure management and toil reduction.
- Responsible for deploying, monitoring, maintaining and supporting Big Data infrastructure on ServiceNow Cloud and Azure environments.
- Provide production support to resolve critical Big Data pipelines, 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.
- Enforce data governance policies and the Definition of Done (DoD) in all Big Data environments.
- Strong understanding of traditional relational databases like MySQL or PostgreSQL. Ability to write queries, perform joins, and optimize basic SQL queries.
- Responsible for MySQL and PostgreSQL operations, and hybrid cloud architectures across cloud and on-prem environments.

To be successful in this role you have:

- Bachelor’s degree, or equivalent work experience
- 8+ years of experience in DevOps or Site Reliability Engineering
- Proficiency in CI/CD tools (Jenkins, Maven) and source control systems (Gitlab, BitBucket, or GitHub).
- Working experience in artifact repositories (Nexus, Artifactory).
- Demonstrated expertise in automation, testing, and operational best practices.
- Strong experience with Kubernetes and Docker
- Experience with Ansible and/or Terraform
- Excellent experience in Big Data / Hadoop, Kafka, Spark, Airflow, Hive, HDFS, Impala, Hue, Victoria Metrics, Trino.
- Strong background in Linux/Unix
- Experience with Python, Bash scripting, and Helm Chart
- Experience working with monitoring and alerting tools such as Grafana and being part of on-call rotations
- AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work, or 2) are curious about Gen AI and have explored it.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

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

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.