Senior Staff Software Engineer (SRE, Release & Test Platforms)

ServiceNow; Dublin; On-site; EUR 150,000 - 190,000; Full time

Benefits offered by this job

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow is building the next generation of cloud-native reliability, release, and test platforms to empower engineering excellence and developer productivity. You will lead Kubernetes-based platform evolution for scalable test infrastructure, release automation, and self-service tooling, partnering with engineering teams on architecture standards and automation-first reliability practices.

The role emphasizes automated validation, deployment verification, and continuous verification across

Qualifications

• Strong Kubernetes expertise and platform engineering experience.
• Proficiency with CI/CD pipelines, GitOps, and automated testing.
• Solid programming skills in Python/Go/Java and scripting.
• Deep understanding of observability, SRE practices, and reliability engineering.
• Experience building enterprise-scale test automation frameworks.

Responsibilities

• Lead evolution of Kubernetes-based platform for scalable test infra and release automation.
• Design and implement automated validation, deployment verification, and reliability checks.
• Partner with engineering teams on standards, reviews, and automation-first practices.
• Develop reusable test frameworks, self-service environments, and test data tooling.
• Drive shift-left validation, monitoring, and proactive risk mitigation.
• Collaborate across DevOps, platform engineering, and release teams.

Skills

Kubernetes expertise

CI/CD & GitOps

Programming: Python/Go/Java

Observability & SRE principles

Automation & testing

Tools

Prometheus

Argo CD

Argo Workflows

Helm

Istio/Linkerd

Kubernetes runtimes

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
• 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

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time

Experience with progressive delivery, including canary releases, feature flags, automated rollback, and deployment verificationDeep Kubernetes expertise across architecture, operations, networking, storage, security, autoscaling, and multi-cluster environmentsStrong coding, observability, SLO, and cross-team collaboration skills to improve reliability, performance, and engineering standardsExperience integrating Kubernetes with CI/CD, GitOps, automated testing, and deployment validationProven ability to lead engineering excellence across developer productivity, platform engineering, release confidence, and modernization12+ years of experience in software, systems, platform, or reliability engineeringExpertise designing, authoring, testing, and debugging code in a team setting using languages such as Python, Go, Java, or RubyExperience using AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, and operational automationExperience with chaos engineering, resilience validation, disaster recovery, and reliability assessmentsExperience designing cloud-native platforms for epic\u002Dwindows environments, release qualifications, and automated validationExperience building and operating large-scale Kubernetes platforms for cloud-native, mission-critical servicesExpertise in observability and monitoring applications, services, and networks at scaleExperience with DevOps automation, CI/CD pipelines, and agile methodologies, including GitLab CI/CD or similar toolsExperience with test orchestration, test impact analysis, flaky test detection, parallel execution, and intelligent regression testingExperience building enterprise-scale test automation frameworks such as Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG, or equivalent technologiesExperience with service virtualization, contract testing, synthetic testing, and test data managementExperience building engineering platforms that support developer self-service and release engineeringExperience with infrastructure configuration management tools such as AnsibleExpertise with Kubernetes ecosystem technologies such as Helm, Argo CD, Argo Workflows, Kustomize, Istio/Linkerd, Gateway API/Ingress, Prometheus, OpenTelemetry, and container runtimesExperience implementing GitOps using Argo CD, Flux, or similar technologiesExperience operating Kubernetes across AWS (EKS), Azure (AKS), and Google Cloud (GKE)