Staff DevOps Engineer - Federal
Built In
| Company | Built In |
| Category | Engineering |
| Location | Chicago, IL, USA |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 3 Aug 2026 (the employer did not state a posting date) |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Staff DevOps Engineer - Federal
Sorry, this job was removed at 10:41 p.m. (UTC) on Tuesday, Aug 11, 2026
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Chicago, IL, USA
Hybrid
132K-230K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Design, deploy, and operate multicloud infrastructure and CI/CD for CPQ microservices. Write and test Python code, containerize services with Docker, orchestrate with Kubernetes, manage GCP/Azure/AWS (including Azure GCC/FedRAMP), integrate AI/ML microservices, maintain PostgreSQL, ensure security and compliance, troubleshoot SaaS operations, and mentor colleagues.
Summary Generated by Built In
Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Please Note: This position will include supporting our US Federal customers.
This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
About the Team
The engineering organization is a dynamic group of builders, problem-solvers, and infrastructure innovators dedicated to delivering scalable, secure, and AI-powered platforms that elevate how organizations work. We value resilient architecture, automation-first thinking, and a culture of continuous improvement. Every engineer here plays a key role in shaping the reliability, security, and operational excellence of our products.
What you get to do in this role:
• Design, develop, and maintain infrastructure, including architecting and implementing robust infrastructure to support CPQ (Configure, Price, Quote) products, ensuring dependability and scalability throughout the lifecycle.
• Develop and test software applications, including writing, testing, and refining software in Python, adhering to company requirements and best practices for maintainable and efficient code.
• Build, deploy, and manage applications using container technologies such as Docker and orchestration tools like Kubernetes, optimizing for automation and scalability.
• Manage and evolve infrastructure across Google Cloud Platform (GCP), Azure, and AWS, utilizing native services for high availability, resilience, security, and multicloud interoperability.
• Apply core concepts such as software development lifecycles, automation, and scalable architecture in every stage of product delivery.
• Develop secure architecture, conduct code reviews for security vulnerabilities, and institute thorough software verification and testing procedures.
• Oversee deployment, monitoring, and maintenance of the CPQ suite of microservices, including several AI-driven components, ensuring reliable operations across environments.
• Collaborate with AI/ML teams to deploy and support intelligent microservices, gaining hands-on experience with data science implementations and real-world applications.
• Perform routine and advanced tasks on PostgreSQL databases, such as designing schemas, optimizing queries, and ensuring data consistency and processing efficiency.
• Provide expert application support for SaaS CPQ solutions by troubleshooting technical issues and ensuring smooth operation.
• Contribute to the design and implementation of new products and features while also enhancing the existing product suite
• Be a mentor for colleagues and help promote knowledge-sharing
Qualifications
To be successful in this role you have:
• 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.
• Experience in using AI Productivity tools such as Windsurf, Cursor, etc. Is a plus or nice to have.
• Experience leveraging AI/ML in engineering and quality processes (e.g., automated testing, AI-driven insights, intelligent monitoring).
• 6+years of experience in DevOps engineering, with a track record of delivering high-quality products.
• Experience with Azure Government Community Cloud (GCC) and hyperscaler environments operating under FedRAMP or regulated government cloud standards.
• Experience with GCP, Azure, or AWS.
• Proficiency in Python.
• Experience with software development lifecycle (SDLC) and automation — implementing automation, testing strategies, and CI/CD practices across delivery stages using GitHub for version control and GitHub Actions for automated build, test, and deployment workflows.
• Experience with PostgreSQL database management.
• Experience with AI/ML microservice integration.
• Experience with Docker and Kubernetes.
• Experience with regulated markets on Azure is a plus.
Why Join Us:
For positions in this location, we offer a base pay of $131,600 - $230,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
• Build and deliver high-impact software that powers digital experiences for millions of users.
• Collaborate in a culture that values craftsmanship, quality, and innovation.
• Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
• Be part of a culture that encourages innovation, continuous learning, and shared success.
Additional Information
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, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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 [email protected] 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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Skills Required
• 6+ years of DevOps engineering experience
• Proficiency in Python
• Experience with Docker and Kubernetes
• Experience with GCP, Azure, or AWS
• Experience with Azure Government Community Cloud (GCC) and hyperscaler environments operating under FedRAMP or regulated government cloud standards
• Experience with GitHub for version control and GitHub Actions for CI/CD automation
• Experience with SDLC, automation, testing strategies, and CI/CD practices
• Experience with PostgreSQL database management (schema design, query optimization)
• Experience integrating AI/ML microservices
• Experience leveraging AI/ML in engineering and quality processes (automated testing, intelligent monitoring)
• Experience using AI productivity tools (e.g., Windsurf, Cursor)
• Experience with regulated markets on Azure
• Must be a US citizen, US naturalized citizen, or US Permanent Resident and pass USFedPASS background screening (credit check, criminal check, drug test)
What the Team is Saying
Shanequa
Support Account Manager
My colleagues are very team-oriented–everyone carries a load. They’re always eager to help one another, and that’s one thing at ServiceNow that I’m really grateful for.
Katya
Senior Software Engineer, Quality Engineering
I've been with ServiceNow for over five years, and I couldn't be happier. I come to the office with a huge smile, happy to see my amazing team and do my interesting job. I'm helping people, I'm helping the world, and I'm just enjoying myself!
Suzanne
Senior Staff Technical Writer
ServiceNow has always been a place where we work really hard, but we play hard. We like each other, and I can honestly say that in 11 and a half years, I have never once had a single colleague say to me, “That's not my job.” Everyone jumps in and is supportive. I've never had that experience working for another company.
Alexander
Senior Diversity and Inclusion Analyst
My experience with Launchpad was humbling and eye-opening. I connected with many other early career individuals and discussed imposter syndrome. Being able to voice that and not feel alone in that feeling, I was like, "Wow. I don't have to know everything." There's still room for me to grow, and there's grace there.
Jaime
Vice President, Head of Global Marketing Strategy and Operations
I’m so proud of the way ServiceNow has continued to evolve as an employer who takes care of their people. We have generous parental leave; benefits to support our physical, emotional, and financial wellbeing; an incredibly supportive community; and a culture of trust that manifests in how we work.
Pat
Chief Technology Officer and Executive Vice President, DevOps
We want to create a place where people want to come to work every day and do what they enjoy–where they feel challenged, collaborate with colleagues around the globe, and know what they're doing matters. It is really humbling to work with so many hardworking individuals who also want to see each other succeed and who are building something great.
Brady
Staff Software Engineer
It feels like a community within my team. There are people that I have formed friendships with over a short period, and they're always there when I need them. I'm always challenged to do better, learn something new, and take risks.
Hasan
Senior Software Engineer
One thing was clear: This team knew AI. I wanted to be part of that wave of innovat