Sr Lead Engineer Cloud

We are seeking a Senior Lead Cloud Engineer, a hands-on technical expert with an engineering and innovation mindset,  to design, build, and operate the foundational cloud infrastructure that powers our enterprise. In this role, you will lead the architecture and implementation of scalable, secure, and highly available cloud platforms on AWS, while driving the enablement of AI-ready cloud foundations that support large-scale cloud, AI and machine learning solution deployment. You will also bring experience applying AI and automation to cloud platform engineering itself, using intelligent tooling to improve platform operations, accelerate delivery, and drive continuous innovation. You will mentor engineers, shape cloud strategy, and ensure our platform meets the highest standards of reliability, security, and operational excellence. This is a high-impact opportunity to lead transformational cloud initiatives, work with cutting-edge technologies, and define the future of our enterprise cloud platform in a collaborative, innovation-driven environment.

Key Responsibilities and Duties

• Lead the design, implementation, and lifecycle management of enterprise-grade cloud platform infrastructure on AWS, with a focus on scalability, resilience, and security

• Architect and deliver cloud foundations specifically optimized to enable scaled AI and machine learning solution deployment, including compute, networking, storage, and security patterns for AI workloads

• Apply AI-driven tooling, automation, and intelligent operations to cloud platform engineering — including AIOps, predictive monitoring, anomaly detection, and AI-assisted infrastructure management

• Develop and maintain infrastructure-as-code (Terraform/OpenTofu) to enable automated, repeatable, and self-service provisioning at scale

• Establish and enforce cloud governance, security guardrails, compliance controls, and architectural standards across accounts and environments

• Drive observability, monitoring, and operational excellence initiatives to ensure platform reliability, performance, and proactive issue resolution

• Partner with development, DevOps, SRE, security, and AI/ML teams to enable self-service platform capabilities and accelerate time-to-value for consuming teams

• Lead cloud migration and modernization initiatives, including workload onboarding, optimization, and platform rationalization

• Evaluate, prototype, and pilot emerging cloud and AI technologies to inform platform direction and drive innovation

• Serve as a senior technical thought leader and mentor, fostering a culture of engineering excellence, continuous improvement, and innovation

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
9IC

Required Skills:

• 5+ years of progressive experience in cloud engineering, infrastructure, or platform engineering roles
• Deep hands-on expertise across AWS services spanning compute, networking, storage, containers, security, and AI/ML.
• Demonstrated experience designing and delivering cloud foundations that enable AI and machine learning workloads at scale, including GPU compute, high-throughput storage, and secure model serving infrastructure
• Hands-on experience applying AI and automation to cloud platform operations, such as AIOps platforms, AI-assisted infrastructure tooling, or intelligent observability solutions
• Proven experience designing and operating multi-account cloud environments using AWS Control Tower, AWS Organizations, and Account Factory for Terraform (AFT)
• Strong expertise in cloud security, IAM, zero-trust principles, and compliance frameworks relevant to regulated industries
• Strong infrastructure-as-code proficiency with Terraform, OpenTofu, or CloudFormation, including module design, state management, and pipeline integration
• Proficiency in scripting and automation using Python, Bash, or similar languages
• Demonstrated ability to lead complex technical initiatives, influence cross-functional teams, and mentor senior engineers

Preferred Skills:

• AWS certifications: Solutions Architect Professional, AI Specialty
• Experience with AI/ML platforms and tooling such as Bedrock, AgentCore, etc
• Multi-cloud experience (GCP, Azure, OCI) with understanding of cloud-to-cloud connectivity and governance patterns
• Experience with AIOps platforms or AI-assisted cloud management tooling (Resolve.AI, or similar)
• Familiarity with FinOps practices and cloud co