Sr. Staff Software Engineer – SRE, Release & Test Platforms
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What you'll do
- Build and operate cloud-native engineering platforms for software validation, release qualification, and operational readiness.
- Design production-like release and test environments that improve release confidence and deployment readiness.
- Develop automated quality gates to assess release health, operational risk, and production readiness.
- Integrate automated testing, observability, reliability signals, and deployment intelligence into CI/CD pipelines.
- Build reusable test frameworks, self-service environments, test data, mock services, and developer productivity tooling.
- Advance shift-left engineering through automated validation, continuous verification, and quality gates.
- Automate failure detection, policy validation, deployment verification, security checks, and reliability assessments.
- Lead Kubernetes-based platform evolution for scalable test infrastructure, release automation, and developer self-service.
- Resolve recurring infrastructure issues through sustainable software, systems, and networking solutions.
- Partner with engineering teams on design reviews, architecture standards, and automation-first reliability practices.
What they're looking for
- 12+ years of experience in software, systems, platform, or reliability engineering.
- Deep Kubernetes expertise across architecture, operations, networking, storage, security, autoscaling, and multi-cluster environments.
- Experience building and operating large-scale Kubernetes platforms for cloud-native, mission-critical services.
- Experience integrating Kubernetes with CI/CD, GitOps, automated testing, and deployment validation.
- Experience designing cloud-native platforms for ephemeral environments, release qualifications, and automated validation.
- Proven ability to lead engineering excellence across developer productivity, platform engineering, release confidence, and modernization.
- Experience with progressive delivery, including canary releases, feature flags, automated rollback, and deployment verification.
- Experience with chaos engineering, resilience validation, disaster recovery, and reliability assessments.
- Expertise designing, authoring, testing, and debugging code in a team setting using languages such as Python, Go, Java, or Ruby.
- Experience using AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, and operational automation.
- Strong coding, observability, SLO, and cross-team collaboration skills to improve reliability, performance, and engineering standards.
Nice to have
- Expertise in observability and monitoring applications, services, and networks at scale.
- Experience with DevOps automation, CI/CD pipelines, and agile methodologies, including GitLab CI/CD or similar tools.
- Experience building enterprise-scale test automation frameworks such as Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG, or equivalent technologies.
- Experience with test orchestration, test impact analysis, flaky test detection, parallel execution, and intelligent regression testing.
- Experience with service virtualization, contract testing, synthetic testing, and test data management.
- Experience building engineering platforms that support developer self-service and release engineering.
- Experience with infrastructure configuration management tools such as Ansible.
- Expertise with Kubernetes ecosystem technologies such as Helm, Argo CD, Argo Workflows, Kustomize, Istio/Linkerd, Gateway API/Ingress, Prometheus, OpenTelemetry, and container runtimes.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
Join us to build the next generation of cloud-native reliability, release, and test platforms that enable engineering excellence, developer productivity, and high-confidence ServiceNow releases through automation, observability, and AI-driven operations.
What you will do in this role:
Build and operate cloud-native engineering platforms for software validation, release qualification, and operational readiness.
Design production-like release and test environments that improve release confidence and deployment readiness.
Develop automated quality gates to assess release health, operational risk, and production readiness.
Integrate automated testing, observability, reliability signals, and deployment intelligence into CI/CD pipelines.
Build reusable test frameworks, self-service environments, test data, mock services, and developer productivity tooling.
Advance shift-left engineering through automated validation, continuous verification, and quality gates.
Automate failure detection, policy validation, deployment verification, security checks, and reliability assessments.
Lead Kubernetes-based platform evolution for scalable test infrastructure, release automation, and developer self-service.
Resolve recurring infrastructure issues through sustainable software, systems, and networking solutions.
Partner with engineering teams on design reviews, architecture standards, and automation-first reliability practices.
Qualifications
To be successful in this role you have:
12+ years of experience in software, systems, platform, or reliability engineering.
Deep Kubernetes expertise across architecture, operations, networking, storage, security, autoscaling, and multi-cluster environments.
Experience building and operating large-scale Kubernetes platforms for cloud-native, mission-critical services.
Experience integrating Kubernetes with CI/CD, GitOps, automated testing, and deployment validation.
Experience designing cloud-native platforms for ephemeral environments, release qualifications, and automated validation.
Proven ability to lead engineering excellence across developer productivity, platform engineering, release confidence, and modernization.
Experience with progressive delivery, including canary releases, feature flags, automated rollback, and deployment verification.
Experience with chaos engineering, resilience validation, disaster recovery, and reliability assessments.
Expertise designing, authoring, testing, and debugging code in a team setting using languages such as Python, Go, Java, or Ruby.
Experience using AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, and operational automation.
Strong coding, observability, SLO, and cross-team collaboration skills to improve reliability, performance, and engineering standards.
Good to have:
Expertise in observability and monitoring applications, services, and networks at scale.
Experience with DevOps automation, CI/CD pipelines, and agile methodologies, including GitLab CI/CD or similar tools.
Experience building enterprise-scale test automation frameworks such as Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG, or equivalent technologies.
Experience with test orchestration, test impact analysis, flaky test detection, parallel execution, and intelligent regression testing.
Experience with service virtualization, contract testing, synthetic testing, and test data management.
Experience building engineering platforms that support developer self-service and release engineering.
Experience with infrastructure configuration management tools such as Ansible.
Expertise with Kubernetes ecosystem technologies such as Helm, Argo CD, Argo Workflows, Kustomize, Istio/Linkerd, Gateway API/Ingress, Prometheus, OpenTelemetry, and container runtimes.
Experience implementing GitOps using Argo CD, Flux, or similar technologies.
Experience operating Kubernetes across AWS (EKS), Azure (AKS), and Google Cloud (GKE).
What you can expect from us:
At ServiceNow, we make work better for everyone – including our own employees. 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 for our employees. Win as a Team is part of our culture, and we aspire to wow our customers. We stay hungry and humble and focus on creating belonging. Sustainability, inclusivity, and diversity are key focus areas within our business framework so that we have transparency, equity, and accountability to deliver meaningful, measurable change. With our vision and dedication for a better future already underway. Join us on this journey!
In addition to a competitive salary, supportive teams, and a real opportunity to progress in your career with a forward-thinking organisation, we provide resources to help you and your loved ones be well. From benefits plans and programs, to mental health resources that offer coaching and 24/7 support, to family support resources and parental leave programs – we want to help you take care of yourself and your loved ones. Below is a glimpse into even more of our offerings or click here for a full list:
Along with holidays, we have company-wide designated global well-being days where everyone is off and can spend time doing what matters most.
Good working culture to support the balance you need in both work and life.
Parental leave programs.
Childcare and caregiving benefits.
A learning experience platform built using our own technology, to support your learning and development goals as well as a tuition reimbursement program.
A global, cross-functional mentoring program.
We also have team building activities, various employee belonging groups, volunteering, and community outreach programs.
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 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.
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