Lead Applied AI Site Reliability Engineer II - PxE A&A

Job summary

Lead Applied AI Site Reliability Engineer II Role Overview: As a Lead Applied AI Site Reliability Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of high-visibility products and platforms and the environments they run in.

Qualifications

• into service-level objectives, runbooks, and production tooling.
• Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Effective Communication and Influence: Exhibit exceptional communication
• A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.
• Experience is the most relevant factor.
• NET, SQL/NoSQL, Kubernetes, Terraform, ArgoCD, as well as CI/CD and observability stacks.

Responsibilities

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for reliability, performance, and cost outcomes, measured in service-level objectives and error budgets, not raw uptime.
• Engineering Craftsmanship: Maintain accountability for the operational integrity of production and pre-production environments, and for the production standards that systems are admitted against.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks-operating as an infrastructure-focused engineer, not a tool operator.
• Demonstrate collaborative
• line as a dedicated, embedded function while partnering with security and risk on the control objectives you enforce.
• Foster a collaborative environment that enhances team synergy and innovation.
• Be a role model, leveraging these techniques to optimize reliability, performance, and operational delivery.
• Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning.
• Translate reliability needs, reference architectures, and operational
• controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk.
• Prior experience using methodologies &

Skills

Degrees

Work schedule

Travel

Industry

Company size

Security clearance