Staff Software Engineer - Data Platform - job 1 of 3

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.

PLEASE NOTE:
This position will include supporting our US Federal regulated markets. 

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: 

As a Staff Software Engineer with the Data Platform organization, you will be responsible for leading key initiatives that span different products and significantly affect our Kubernetes platform ecosystem, allowing our customers to create innovative, elegant, and high-performing experiences across multiple devices.   

What you get to do in this role: 

• Deploy, manage, and scale applications using Kubernetes
• Build software applications using containerization concepts and technologies like Docker and deploy them on Kubernetes.
• You will design and implement scalable, fault-tolerant systems using Kubernetes (absolute must)
• Leverage cloud platforms like AWS, Azure, or GCP, deploy software applications using the Kubernetes platform environment. 
• Set up monitoring and logging systems in a Kubernetes environment using tools like Prometheus, Grafana, or ELK (Elasticsearch, Logstash, Kibana, etc.) As well as the inner workings of how to troubleshoot, performance optimization, and Kubernetes networking concepts (service discovery, land balancing, and network policies, etc). All important for building and painting reliable communication between application components.     
• You'll work on the continuous integration and deployment (CI/CD) 
• Day-to-day includes scripting and automation using languages like Bash or Python to automate common tasks related to Kubernetes (cluster provisioning, application deployment, and scaling, etc.) 
• Be able to troubleshoot and debug issues related to and around Kubernetes deployments, networking, performance, and application scalability. 
• Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) 
• Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users. 
• Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. 
• 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  

To be successful in this role you have: 

• Proficiency in working with Kubernetes is a must. Candidates should have hands-on experience with deploying, managing, and scaling applications using Kubernetes. 
• Understanding containerization concepts and experience with containerization technologies like Docker is essential for building and deploying applications on Kubernetes. 
• Infrastructure as Code (IaC): Familiarity with tools like Terraform or Ansible to automate the provisioning and management of infrastructure resources. 
• Experience working with cloud platforms like AWS, Azure, or GCP, as Kubernetes is commonly deployed on these platforms. Understanding how to leverage cloud services in a Kubernetes environment is valuable. 
• Understanding Kubernetes networking concepts, such as service discovery, load balancing, and network policies, is important for building and maintaining reliable communication between application components. 
• Experience with CI/CD pipelines, utilizing tools like Jenkins, GitLab CI/CD, or CircleCI, to automate the build, test, and deployment of Kubernetes-based applications. 
• Experience with scripting and automation (Bash or Python). 
• Experience around day-to-day common tasks related to Kubernetes like, cluster provisioning, application deployment, and scaling, etc. to name a few. 
• Strong problem-solving skills and the ability to troubleshoot issues related to Kubernetes deployments, networking, performance, and application scalability. 
• Proficiency in implementing robust observability and monitoring practices within Kubernetes clusters, including metrics, logging, and distributed tracing, is highly desired. Familiarity with tools such as Prometheus, Grafana, Jaeger, and Elasticsearch can be advantageous. 
• Skills in infrastructure automation using tools like Terraform or Ansible can help candidates automate the deployment and management of Kubernetes clusters and associated resources.
• Good interpersonal and communication skills are essential for collaborating with cross-functional teams, including DevOps, infrastructure, and software engineering teams. The ability to effectively communicate ideas, share knowledge, and work collaboratively can greatly contribute to success in this role. 
• The field of Kubernetes and cloud-native technologies is rapidly evolving. Candidates who demonstrate a passion for continuous learning, staying updated with the latest industry trends, and actively seeking opportunities for self-improvement, can thrive in this dynamic environment. 

Nice to have: 

• Cloud Native Development: Expertise in cloud-native development practices and principles is highly valuable. This includes designing applications that are loosely coupled, resilient, and can fully leverage the benefits of Kubernetes and cloud platforms. 
• Security and Compliance: Understanding Kubernetes security best practices, container image scanning, RBAC (Role-Based Access Control), network policies, and compliance frameworks such as CIS benchmarks is important for ensuring the security and compliance of Kubernetes workloads. 
• Familiarity with service mesh technologies like Istio or Linkerd can be an added advantage. Knowledge of how to leverage service mesh for traffic management, security, and observability within a Kubernetes environment can greatly enhance application development and management.
• Experience with GitOps practices, such as using Git as the single source of truth for declarative infrastructure and application configuration, can streamline deployment and management

• 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’ experience in DevOps building, and maintaining a platform for large-scale Enterprise Applications with 10,000+ physical hosts
• Expert level understanding of Centos/RHEL OS and experience installing, maintaining, and designing services.
• Familiarity with Cloud Technologies - OpenStack, AWS, or Azure are a plus

WJ25

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

For positions in this location, we offer a base pay of $147,300 - $257,800, 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.

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. Learn more here.

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 [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. 

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