Vice President - Lead Site Reliability Engineer
Key Skills for This Role
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Job responsibilities
- Build and operate distributed systems, platform services, APIs, automation frameworks, and cloud-native applications that underpin enterprise-scale backup and recovery capabilities
- Embed site reliability engineering principles through reliability metrics, observability, incident learning, operational readiness reviews, and continuous improvement cycles
- Lead architecture and engineering for scalable backup, recovery, immutable-data protection, and recovery-assurance services across hybrid and cloud environments
- Drive automation-first, API-led, and self-service capabilities that reduce operational toil and measurably improve customer and stakeholder outcomes
- Build cloud-native solutions using AWS services, infrastructure as code, continuous integration and delivery pipelines, and modern software-engineering practices
- Design preventive and detective security controls, policy guardrails, automated validation, and audit-ready evidence to meet regulatory and compliance requirements
- Apply enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data in accordance with sensitivity and security requirements
- Deliver telemetry, reporting, and operational intelligence that provide real-time visibility into backup health, compliance posture, and recovery readiness
- Mentor engineers, influence senior stakeholders, and coordinate cross-team delivery with clear ownership and explicit dependency management
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Demonstrated experience building distributed systems, platform services, APIs, automation frameworks, and cloud-native applications
- Expertise in site reliability engineering practices, monitoring, telemetry, incident management, and production operational readiness, including hands-on experience with observability and monitoring platforms such as Dynatrace and Grafana
- Deep knowledge of one or more infrastructure engineering domains including networking, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Strong knowledge of enterprise data protection, backup and recovery, cyber resilience, immutable storage, retention policies, and recovery testing
- Advanced AWS experience spanning backup services, identity and access management, security controls, observability, and infrastructure automation
- Proficiency in Python and at least one additional language such as Java, Go, or C#
- Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations
- Ability to lead complex, cross-organizational initiatives and translate security, control, and regulatory requirements into engineered solutions
Preferred qualifications, capabilities, and skills
- Experience with enterprise backup platforms such as Cohesity or Commvault, and cloud-native backup services such as AWS Backup
- Familiarity with container orchestration platforms such as Kubernetes or OpenShift in a production environment
- Exposure to database platforms and cyber-recovery solutions within a regulated financial-services environment
- Experience with operational analytics and data-driven approaches to infrastructure health and compliance reporting
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