Senior Engineering Manager - Observability

Reposted 8 Days Ago
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Hiring Remotely in Dublin
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Lead development of observability applications, manage an engineering team, drive observability solutions, and ensure system reliability and performance.
Summary Generated by Built In
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
ServiceNow is seeking a Senior Manager of Engineering to lead the development of next-generation Observability applications supporting our global cloud services organization. In this hands-on technical leadership role, you will help execute the observability strategy for cloud-native systems at scale, enabling faster incident resolution, improved reliability, and better customer experience.
You will manage and grow a high-impact engineering team responsible for delivering cohesive, intelligent observability capabilities-including metrics, logs, traces, and events-through intuitive, self-service user experiences.
What you get to do in this role:
  • Execute the observability roadmap aligned with platform reliability, availability, and performance goals.
  • Lead, mentor, and grow a high-performing engineering team (engineers and tech leads), fostering strong execution and delivery.
  • Drive development and operation of observability solutions using a mix of open-source and third-party technologies.
  • Partner with senior engineers to incorporate AI-powered capabilities such as anomaly detection, alert noise reduction, and root cause insights.
  • Build self-service observability frameworks that enable engineering teams and customers to easily onboard services.
  • Collaborate closely with SRE, Product, and Engineering teams to improve system reliability, self-healing, and operational maturity.
  • Champion engineering best practices including code quality, testing, CI/CD, and operational readiness.
  • Support innovation and experimentation with emerging technologies (e.g., AIOps, LLMs, agentic workflows, eBPF).
  • Participate in operational reviews, postmortems, and KPI tracking to continuously improve observability outcomes.

Qualifications
To be successful in this role, you have:
  • 7+ years of experience building or operating large-scale distributed systems, cloud platforms, or infrastructure services.
  • 3+ years of engineering leadership experience managing teams and driving execution.
  • 1+ year of experience contributing to or leading AI-assisted or AI-enabled engineering initiatives.
  • Hands-on experience building or operating observability and alerting solutions using logs, metrics, and traces in production environments.
  • Working knowledge of OpenTelemetry, Prometheus / TSDBs, Kafka, Grafana, or similar observability tooling.
  • Solid understanding of full-stack observability-from application-level signals to infrastructure and networking.
  • Familiarity with cloud-native technologies such as Kubernetes and container observability.
  • Experience working in or alongside SRE / reliability-focused teams.
  • Strong communication skills with the ability to collaborate across engineering, product, and operations.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Nice to have:
  • Exposure to network observability technologies (e.g., flow monitoring, GNMI, ThousandEyes).
  • Experience with multi-cloud environments (AWS, Azure, GCP).
  • Passion for operational excellence, reliability engineering, and data-driven decision-making.

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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 [email protected] 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.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Top Skills

Grafana
Kafka
Kubernetes
Opentelemetry
Prometheus
Tsdbs

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The Company
HQ: Santa Clara, CA
28,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it).

With more than 8,100+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™.

Explore your future career with us, visit www.servicenow.com/careers.

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

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ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
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