Senior Manager of Data and Storage Reliability Engineering

ServiceNow; Dublin; Presencial; EUR 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Descripción de la vacante

ServiceNow is seeking an experienced Senior Manager for the Data and Storage Reliability Engineering team in Dublin. You will drive engineering excellence across prevention engineering, reliability, observability, incident learnings, diagnostics, automation, and capacity planning in large-scale production environments.

You will lead a world-class team responsible for scalability, resiliency, and operational excellence, owning team strategy, recruitment, and performance.

Formación

• Strong leadership experience overseeing distributed teams.
• Extensive experience in database engineering or reliability in large-scale SaaS environments.
• Proven ability to translate production insights into prioritized engineering work.
• Excellent communication and stakeholder management skills.

Responsabilidades

• Lead a team focused on prevention engineering, reliability, observability, and platform risk reduction.
• Own team strategy, recruitment, onboarding, and performance reviews.
• Drive improvements in observability, diagnostics, automation, and migration readiness.
• Partner with engineering leaders to influence platform priorities based on production data.
• Provide training, dashboards, and playbooks to partner teams.

Conocimientos

Leadership

Reliability engineering

Observability

Incident management

Capacity planning

Platform reliability

Automation

Root cause analysis

Cross-functional collaboration

Educación

Bachelor's degree in Computer Science or related field

Herramientas

MySQL

PostgreSQL

Oracle

SQL Server

Cloud platforms

Observability tools

Telemetry

Descripción del empleo

• ServiceNow is seeking an experienced Senior Manager for its Data and Storage Reliability Engineering team
• Drive engineering excellence across prevention engineering, reliability engineering, observability, incident learnings, diagnostics, automation, capacity planning, and platform risk reduction
• Lead a team of highly skilled engineers responsible for scalability, resiliency, and operational excellence
• Define and execute the team-level strategy for prevention engineering, reliability, observability, resilience, and operational risk reduction across large-scale production environments
• Lead initiatives that turn production signals, incident learnings, customer escalations, migration outcomes, and platform telemetry into durable engineering improvements
• Partner with SWAT and Customer and Production Engineering to establish a continuous feedback loop between production operations and platform improvement
• Drive improvements in observability, diagnostics, automation, reliability reviews, resiliency validation, migration readiness, and engineering guardrails
• Identify recurring failure patterns, reliability risks, observability gaps, operational inefficiencies, scalability constraints, and performance bottlenecks, and drive action to reduce future customer impact
• Establish reliability, resilience, observability, automation, and prevention goals for critical database and storage services
• Champion proactive monitoring, production analytics, and automation to improve operational health and reduce repetitive manual work
• Lead deep root cause analysis and ensure sustainable corrective actions are implemented for recurring issues and customer-impacting events
• Partner with engineering leaders to influence database, storage, reliability, observability, and platform architecture priorities based on production evidence
• Build and develop a world-class team of reliability, prevention, observability, and platform engineers
• Own team management, recruitment, career development, objective setting, project prioritisation, onboarding, and performance reviews
• Manage an engineering team that supports production-facing work, including on-call or escalation participation where required
• Promote automation, self-service diagnostics, guardrails, and scalable engineering practices to reduce repetitive manual activities
• Drive initiatives with partner teams to improve the reliability, resilience, scalability, and operational efficiency of the ServiceNow application and platform
• Participate in the escalation and crisis management ecosystem, converting immediate recovery learnings into sustainable engineering prevention
• Analyse and evaluate existing processes to drive continuous improvement, operational efficiency, and prevention-oriented engineering practices
• Provide training, documentation, dashboards, playbooks, and support to partner teams that interface with the Data and Storage Reliability Engineering team
• Onboard new hires, technologies, systems, and automations into the team to enable successful execution and scale

Benefits

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

4+ years of engineering leadership experience, including leading engineers and cross-functional or distributed teamsStrong understanding of tuning and troubleshooting across database, operating system, storage, network, and application layers10+ years of experience in database engineering, reliability engineering, distributed systems, platform engineering, infrastructure engineering, production engineering, or large-scale SaaS platform operationsA bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experienceStrong expertise in database technologies, operating system performance, distributed systems, cloud-native architectures, and large-scale production environmentsExperience integrating AI into work processes, decision-making, or problem-solving, such as using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the functionProven experience identifying and resolving complex reliability, scalability, performance, efficiency, and operational bottlenecks in large-scale distributed environmentsExperience leading customer-critical investigations involving reliability, capacity, performance, scalability, resilience, or operational risk challengesStrong communication, stakeholder management, and leadership skillsA solid understanding of reliability engineering, observability, diagnostics, root cause analysis, capacity planning, scalability engineering, resiliency, automation, and operational excellenceExperience designing and improving observability, diagnostics, reliability reviews, migration readiness checks, resiliency validation, automation, and engineering guardrailsExperience partnering with software engineering, infrastructure, production operations, and escalation organisations to improve platform reliability, scalability, efficiency, and production readinessExperience translating production insights, customer escalations, incident learnings, platform telemetry, and recurring operational challenges into prioritised engineering workExperience leading Reliability Engineering, Database Engineering, Platform Engineering, Infrastructure Engineering, Production Engineering, Performance Engineering, or related technical teamsExperience driving engineering initiatives through data, metrics, incident learnings, telemetry, benchmarking, and measurable outcomesExperience using observability and telemetry platforms to analyse system behaviour and drive platform improvementsExperience supporting enterprise database technologies such as MySQL, MariaDB, PostgreSQL, Oracle, SQL Server, or cloud-native database platformsExperience growing Reliability Engineering, Database Engineering, Platform Engineering, Performance Engineering, Scalability Engineering, or Production Engineering teamsExperience with observability platforms, telemetry systems, diagnostics frameworks, production analytics, reliability scorecards, engineering metrics, and impact reportingFamiliarity with ServiceNow platform architecture and large-scale SaaS operationsExperience contributing to platform architecture, database strategy, reliability investments, scalability roadmaps, and long-term engineering improvementsExperience with performance testing, benchmarking, workload simulation, and capacity modelling as part of broader reliability and prevention engineering programmesExperience operating large-scale enterprise database and storage platforms supporting mission-critical workloadsExperience using AI technologies to improve anomaly detection, forecasting, incident analysis, prioritisation, operational efficiency, and engineering productivityExperience with reliability reviews, resiliency validation, migration readiness, workload simulation, capacity forecasting, prevention programmes, and operational risk reduction frameworksUnderstanding of distributed systems architecture, cloud platform operations, Linux-based production environments, and hyperscale environments.