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Staff Software Engineer – SRE & AIOps

servicenow
Vancouver, CAN
Full-time
Onsite
$125,700
Discovered 1 weeks ago
Kubernetessite reliability engineeringAIOpsinfrastructure automationincident auto-remediationAWS
Free

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Kubernetessite reliability engineeringAIOps
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Role overview

ServiceNow is seeking a Staff Software Engineer to drive infrastructure automation, operational resilience, and toil elimination.

The role sits within the Site Reliability and Database Engineering organization and influences infrastructure teams globally.

The position focuses on Kubernetes, cloud platforms, DevOps, SRE tooling, and AI-driven infrastructure operations.

Core responsibilities

  • Operate enterprise-scale Kubernetes clusters across hybrid and multi-cloud environments with governance, scaling, and reliability practices.
  • Build closed-loop auto-remediation systems that detect, classify, and resolve infrastructure failures.
  • Develop observability, incident management, log aggregation, runbook, and playbook capabilities.
  • Establish SLO frameworks, error budgets, alerting policies, and automated incident response patterns.
  • Maintain Infrastructure as Code and GitOps deployments with auditable security and compliance controls.
  • Architect on-premises, public cloud, and edge operations, including migrations and disaster recovery.
  • Promote containerization, microservices, DevOps, CI/CD, service mesh, and network security practices.
  • Design global on-call rotations, escalation policies, and incident command systems.
  • Mentor SRE and infrastructure engineers and champion blameless, data-driven improvement.
  • Automate repetitive provisioning, incident response, and cost optimization work to reduce operational toil.

Required experience

  • At least 8 years in software engineering or infrastructure operations, including 5+ years in SRE, DevOps, or cloud platform engineering.
  • At least 4 years of hands-on experience operating production Kubernetes clusters at scale.
  • Experience designing closed-loop automated remediation systems that reduce MTTR or manual toil.
  • Experience across at least two of AWS, Azure, and GCP.
  • Experience with Infrastructure as Code and GitOps platforms for infrastructure deployment.
  • Experience with follow-the-sun 24/7 on-call operations, runbooks, escalation, and incident response.
  • Experience managing on-premises and public cloud environments, hybrid networking, disaster recovery, and workload migration.
  • Strong Linux administration, performance troubleshooting, and scripting skills using Python, Go, Bash, or equivalent.
  • Ability to apply AI or machine learning insights to infrastructure operations and problem-solving.
  • Technical leadership ability across teams and experience mentoring engineers.
  • Bachelor's degree in computer science, computer engineering, or a related field, or equivalent professional experience.

Preferred qualifications

  • Kubernetes certification such as CKA, CKAD, or equivalent.
  • Experience with service mesh platforms or advanced Kubernetes networking.
  • Experience migrating workloads from on-premises data centers to public cloud environments.
  • Experience with hybrid cloud cost optimization practices.
  • Track record of mentoring infrastructure engineering teams.

Compensation

  • Base pay for the location is C$125,700 to C$220,000 per year.
  • Additional compensation may include equity, variable or incentive compensation, and benefits.
  • Compensation varies based on qualifications, skills, competencies, and work location.

Work personas

  • ServiceNow uses flexible, remote, or required-in-office work personas based on the role and assigned work location.
  • The specific work persona for this position is not stated in the provided description.

About ServiceNow

ServiceNow describes its AI platform as bringing together AI, data, and workflows to help businesses work more efficiently.

The company states that it is building an AI-native culture focused on applying technology to meaningful work.

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