Senior Lead Infrastructure Engineer, Capacity & Scalability Management

What you'll do

• Own the end-to-end capacity management strategy and operating model for critical CCB applications.
• Lead cross-functional capacity planning and risk management across Application, Infrastructure, and SRE teams.
• Architect and deliver scalable, resilient solutions to modernize capacity processes, data flows, and tooling.
• Advance observability through consolidated dashboards, real-time KPIs, forecasting, and SLA-backed alerting.
• Drive automation via governed runbooks for actions like headroom uplift, throttling, and pool rebalancing.
• Build and operationalize AI agents to streamline recurring workflows like risk detection and remediation tracking.
• Produce executive-ready reporting that translates technical findings into business impact and portfolio status.
• Lead multiple parallel workstreams while mentoring engineers and championing cost and performance trade-offs.

What we're looking for

• Formal training or certification on infrastructure engineering concepts and 5+ years of applied experience.
• Knowledge of infrastructure engineering areas such as hardware, networking, databases, storage, deployment, integration, automation, scaling, or resilience.
• Proven expertise in managing or governing technology capacity or adjacent ITIL processes at enterprise scale.
• Strong understanding of infrastructure KPIs, application performance, and monitoring/observability tooling.
• Hands-on experience building and leveraging dashboards and analytics using tools like Grafana, Dynatrace, ELK, Power BI, Qlik, or Tableau.
• Proficiency with one or more scripting/programming languages such as Python, Go, or JavaScript to automate data pipelines and runbooks.
• Hands-on experience designing and building AI skills/agentic workflows, including integrating LLM-based automation into operational processes with governance.
• Hands-on cloud experience (e.g., AWS) to design, develop, and deploy secure, scalable infrastructure with multi-region patterns and SRE practices.
• Experience using enterprise-authorized AI capabilities to support infrastructure workflows with strong validation habits and data sensitivity awareness.
• Exceptional communication and stakeholder management skills to influence decisions and drive change across diverse teams.
• Knowledge of modern emerging technologies (preferred).