Senior Software Engineer SRE & AIOps

About the role:

ServiceNow is seeking a Senior Software Engineer - SRE & AIOps to contribute to infrastructure automation operational resilience and toil elimination across our hybrid cloud and data center operations. Embedded within the Site Reliability & Database Engineering organization you will implement automation-first systems that reduce manual intervention accelerate incident remediation and enable our global engineering teams to operate reliably at scale.

This role combines solid hands-on technical expertise in Kubernetes cloud platforms and DevOps practices with growing technical leadership capabilities. You will contribute to SRE tooling design develop auto-remediation capabilities and help establish patterns that maintain ServiceNows cloud platform reliability while minimizing operational toil across follow-the-sun global teams.

What you get to do in this role:

• Deploy operate and troubleshoot production Kubernetes clusters across hybrid and multi-cloud environments maintaining operational standards and supporting high-velocity application deployments.
• Implement and maintain closed-loop auto-remediation systems that detect classify and resolve transient infrastructure failures leveraging automation frameworks and machine learning insights to reduce MTTR and on-call burden.
• Contribute to the design and evolution of SRE tooling stack including monitoring platforms incident management systems log aggregation and observability integrations that support global on-call operations.
• Develop and maintain SLO frameworks alerting policies and automated runbooks that empower on-call engineers to resolve issues autonomously while managing alert fatigue.
• Build and maintain Infrastructure-as-Code frameworks and GitOps pipelines that enable reproducible infrastructure deployments across hybrid and multi-cloud environments with security and compliance guardrails.
• Support hybrid cloud and data center operations including on-premises infrastructure public cloud environments and workload optimization across multi-region deployments.
• Contribute to adoption of containerization microservices and DevOps patterns across engineering teams establishing CI/CD best practices and network security controls.
• Support on-call rotation operations and incident response processes across different time zones helping develop runbooks and contributing to post-incident reviews that drive continuous improvement.
• Share knowledge and mentor junior SRE engineers on reliability patterns incident investigation techniques and automation best practices.
• Champion a culture of blameless incident analysis data-driven decision-making and continuous improvement through knowledge sharing and documentation.
• Identify and systematically automate repetitive operational tasks from infrastructure provisioning to incident response improving team efficiency and capacity.

Qualifications :

To be successful in this role you have:

• Kubernetes Proficiency: Solid hands-on experience operating production Kubernetes clusters including deployment models pod orchestration resource management network policies and troubleshooting runtime issues.
• Incident Remediation Experience: Demonstrated experience designing and implementing automated remediation systems including alert automation runbook development and self-healing mechanisms.
• Cloud Platform Knowledge: Strong hands-on experience with AWS (EKS EC2 RDS) and/or Azure (AKS VMs) or GCP (GKE) with understanding of core SRE-related services.
• DevOps & IaC Skills: Solid experience with Infrastructure-as-Code tools (Terraform CloudFormation) and GitOps practices.
• SRE Tooling Familiarity: Working knowledge of observability platforms incident management systems and log aggregation tools.
• Distributed Systems Understanding: Understanding of distributed system challenges fault tolerance and resilience patterns.
• On-Call Operations: Experience participating in on-call rotations and understanding 24/7 operational models runbook development and escalation procedures.
• Cloud & Hybrid Operations: Hands-on experience working with cloud infrastructure and understanding hybrid cloud concepts.
• Systems Administration: Strong foundation in Linux system administration performance troubleshooting and scripting (Python Go or Bash).
• Collaborative Mindset: Ability to work effectively with infrastructure and application teams contribute to technical discussions and help drive reliability improvements.

Qualifications

• 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 AIs potential impact on the function or industry.
• 5 years in software engineering or infrastructure operations with 3 years in SRE DevOps or cloud platform engineering roles with a Bachelors degree; or 3 years and a Masters degree; or a PhD without experience; or equivalent work experience.
• 2 years of hands-on experience working with production Kubernetes clusters.
• Proficiency in at least one Infrastructure-as-Code tool: Terraform CloudFormation or equivalent.
• Demonstrable hands-on experience with at least one major cloud platform: AWS Azure or GCP.
• Experience operating in on-call environments and participating in incident response.
• Experience implementing or improving automated remediation and alert systems.
• Strong foundation in Linux system administration performance troubleshooting and scripting (Python Go Bash).
• Demonstrated commitment to reliability engineering and continuous improvement through hands-on contributions.
• Bachelors degree in computer science Computer Engineering or related field (or equivalent professional experience).

Preferred:

• Kubernetes certification (CKA CKAD or equivalent).
• Experience with service mesh technologies or advanced Kubernetes networking.
• Background in cloud migration or infrastructure modernization projects.
• Experience with cost optimization in cloud environments.
• Track record of implementing automation solutions that significantly reduced operational toil.

Why This Role

This role offers the opportunity to work with infrastructure automation and reliability engineering at scale. You will implement systems and practices that directly reduce operational burden across ServiceNows global engineering teams. Your contributions will help establish reliable automated infrastructure operations and provide a clear career path toward senior technical leadership. This is a role for an engineer who enjoys solving complex operational challenges continuous learning and working collaboratively to improve how systems operate.

For positions in this location we offer a base pay of $143200 - $243400 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.

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 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 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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Remote Work :

No

Employment Type :

Full-time