G-P is hiring a
Director, Cloud Engineering, Remote - India

Summary

The job is for a Director of Cloud Engineering & DevOps at G-P, a company that enables global business opportunities. The role involves leading teams to scale the organization's platform, partnering with product and platform engineering teams, and building diverse engineering teams. The ideal candidate should have extensive experience in building IaaS and PaaS capabilities, leading technical programs, and possess deep technical experience across a number of services in the AWS cloud ecosystem.

Requirements

• 15-20 years of experience in building IaaS and PaaS capabilities up to an enterprise level
• 7+ years of experience leading technical programs, managers, and teams (>20 members) across time zones
• 5+ years experience as an individual contributor
• Deep technical experience across a number of services in the AWS cloud ecosystem
• Experience with running serverless and container infrastructure at scale
• Experience leading multiple teams in a fast-paced, agile environment
• Experience leading teams to understand tradeoffs and to select the optimal solution to meet both business and technical requirements
• Excellent communication with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
• Ability to guide and influence senior leadership across the organization
• Relationship building with executive leadership
• Python, Java, or JavaScript development experience
• BS in Computing, Software Engineering, or equivalent experience

Responsibilities

• Lead teams across Cloud Engineering focused on Engineering Enablement, Cloud Security, Observability, and Scaling the G-P platform
• Partner with Product and Platform engineering teams to define vision, strategy, roadmap, and deliverables
• Lead functions within Cloud Engineering, including networking optimization, data store efficiencies, platform reliability, and cloud security
• Build and operate scalable, reliable, and resilient infrastructure and delivery platforms for G-P's products and platform
• Define strategies to build and maintain AI platform to enable development and deployment of machine learning models
• Abstract away infrastructure complexity
• Act as a force multiplier enabling internal teams, including SRE and Development
• Maintain enterprise-grade SLAs
• Establish effective incident response schedules and playbooks
• Build and optimize partnerships with key stakeholders and leaders from across Engineering, Product, and Customer Support
• Promote DevOps practices across the organization

Preferred Qualifications

Public Cloud Certification(s) (AWS, Azure, or GCP) are plus