### Who you areExperience ision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry15+ years of experience formance engineering, distributed systems, or large-scale SaaS platform operations8+ years of engineering leadership experience, including leading managers and globally distributed teamsExtensive experience leading Performance Engineering, Database Engineering, Platform Engineering, Infrastructure Engineering, or related technical organizationsDeep expertise rating system performance, distributed systems, and cloud-native architecturesStrong understanding of query optimization, workload management, execution planning, indexing strategies, capacity planning, scalability engineering, and performance analysisExperience designing and executing large-scale performance testing, benchmarking, workload simulation, and capacity modeling programsStrong understanding of performance tuning across database, operating system, storage, network, and application layersProven experience identifying and resolving complex performance bottlenecks in large-scale distributed environmentsExperience leading customer-critical investigations involving performance, scalability, efficiency, and capacity-related challengesStrong experience leveraging observability and telemetry platforms to analyze system behavior and drive performance improvementsExperience partnering with software engineering organizations to improve platform performance, scalability, efficiency, and production readinessExperience driving engineering initiatives through data, metrics, benchmarking, and measurable business outcomesExceptional communication, stakeholder management, and leadership skillsBachelor's degree ineering, or a related technical field, or equivalent practical experienceExperience operating large-scale enterprise database platforms supporting mission-critical workloadsExperience building and scaling Database Performance Engineering, Scalability Engineering, or Performance Architecture organizationsExperience with performance testing, benchmarking, workload simulation, capacity forecasting, and migration validation frameworksExperience leveraging AI technologies to improve performance analysis, anomaly detection, workload forecasting, and engineering productivityStrong understanding of distributed systems architecture, cloud platform operations, and hyperscale environmentsExperience developing executive-facing performance scorecards, engineering metrics, and business impact reportingExperience influencing platform architecture, database strategy, and long-term scalability roadmapsExperience with observability, telemetry, monitoring, and advanced performance analytics platformsExperience with Linux-based production environments and large-scale cloud infrastructureDemonstrated success leading strategic performance optimization initiatives and complex cross-functional engineering programsExperience supporting enterprise database technologies such as MySQL, MariaDB, PostgreSQL, Oracle, SQL Server, or cloud-native database platformsFamiliarity with ServiceNow platform architecture and large-scale SaaS operations### What the job involvesThe successful candidate will lead the Database Performance Engineering organization responsible for driving performance, scalability, efficiency, and customer experience across ServiceNow's database platforms and supporting infrastructureThis leader will be responsible for building, developing, and scaling high-performing engineering teams focused on database performance, operating system performance, scalability engineering, performance testing, benchmarking, observability, capacity planning, workload optimization, and automationResponsibilities include talent acquisition, performance management, career development, succession planning, objective setting, coaching, and prioritization of strategic initiativesThe role will establish a strong engineering-first culture centered on data-driven decision making, continuous improvement, performance excellence, and operational efficiencyThis position is accountable for identifying and eliminating performance bottlenecks across database services, operating systems, compute, storage, infrastructure, and distributed application environments while ensuring the platform can scale to support future business and customer growthThe Director will partner closely with Product Engineering, Database Engineering, Cloud Infrastructure, Architecture, and Operations teams to ensure performance and scalability considerations are incorporated throughout the software development lifecycleThe successful candidate will serve as the senior technical leader for complex performance investigations, customer-critical escalation engagements, migration readiness assessments, and platform scalability initiatives, transforming operational insights into long-term engineering improvementsThey will influence architectural decisions and technology investments by providing performance expertise, scalability guidance, and production-based insights that improve platform efficiency and customer outcomesThe successful candidate will establish scalable performance engineering practices, standards, testing methodologies, and governance processes across the organizationThey will drive adoption of performance testing and benchmarking frameworks, workload characterization methodologies, capacity planning models, observability standards, scalability assessments, and performance engineering best practicesThis leader will continuously evaluate database, operating system, infrastructure, and application performance trends, identify systemic bottlenecks, and implement engineering improvements that increase efficiency, scalability, and customer satisfactionThe role will establish meaningful KPIs and engineering metrics that provide visibility into platform performance, workload growth, resource utilization, infrastructure efficiency, scalability risks, customer experience, and organizational effectivenessThe successful candidate will leverage AI-powered tools, analytics, automation frameworks, and production intelligence to accelerate performance analysis, identify emerging bottlenecks, optimize resource utilization, and improve engineering productivityThey will use performance testing results, production telemetry, customer escalations, and capacity forecasts to drive architectural improvements, migration readiness, scalability investments, and long-term platform evolutionThe Director will champion a proactive performance engineering model that shifts the organization from reactive troubleshooting to predictive analysis, prevention, and continuous optimization### BenefitsGenerous family leaveMatched donationsAnnual learning stipendsFlexible PTOCompetitive retirement planPaid volunteer time
4 days ago