Staff Software Engineer - Data Platform

Company Description

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.

Job Description

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 deploy