Senior Linux Development Engineer - Federal
Listed on 2026-01-10
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IT/Tech
Cloud Computing, Systems Engineer
Overview
At Service Now, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining Service Now, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity.
We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.
With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we’re proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.
Learn more on Life at Now blog and hear from our employees about their experiences working at Service Now.
Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply. At Service Now, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role.
We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.
As a key member of the Systems Administration team within Global Cloud Operations, you will be responsible for the administration and operations of the global cloud infrastructure that runs our SaaS product. This role has a specific focus on development skills to help deliver tools and resolutions through code. This is an opportunity to be at the core of running a Cloud platform that scales to millions of users.
The Cloud Operations team is responsible for ensuring the availability and efficiency of the server infrastructure that runs our SaaS platform while consuming and deploying products that have been newly developed by engineering teams. You will be working closely with engineers and developers across the company.
What you get to do in this role:
- Contribute to Configuration Management and Infrastructure as Code for Service Now’s global private cloud.
- Develop tools in Python, bash, and JavaScript to replace manual work and improve customer maintenance experience.
- Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
- Drive enhancements and bugfixes for large-scale automation projects such as patching, provisioning, and kickstart domains.
- Design and implement procedures to accomplish maintenance where automation and tooling cannot; drive resolution of root causes with internal team members.
- Prepare new Service Now products and services for production readiness with design review, feedback to engineering teams, training, and testing.
- Support the operation of a wide variety of infrastructure services, including Machine Learning and Prediction, Cloudera Big Data clusters, Kafka and Rabbit
MQ messaging, database encryption, E-Mail infrastructure, DNS, Puppet, NGINX, Kubernetes, RHOSP, and more.
To be successful in this role, you have:
The ideal candidate will have experience producing infrastructure-centric code for a production environment. This role also requires senior-level skills and background in systems administration and engineering, understanding of the components of a cloud infrastructure including hardware platforms, OS, applications, databases, networks, web and application servers. Prior experience in Site Reliability Engineering/Dev Ops and managing large-scale server infrastructure at a cloud computing or MSP setting is highly desirable.
- 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.
- 4+ years of experience with Linux (Red Hat and/or CentOS)
- 4+…
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