- Lead the design, implementation, and lifecycle management of enterprise-grade AWS cloud platform infrastructure
- Architect cloud foundations optimized for scaled AI and machine learning deployments
- Apply AIOps, predictive monitoring, anomaly detection, and AI-assisted infrastructure management
- Develop and maintain Terraform/OpenTofu infrastructure as code for automated self-service provisioning
- Establish cloud governance, security guardrails, compliance controls, and architectural standards
- Drive observability, monitoring, reliability, performance, and proactive issue resolution
- Partner with development, DevOps, SRE, security, and AI/ML teams
- Lead cloud migration and modernization initiatives, including workload onboarding and optimization
- Evaluate and pilot emerging cloud and AI technologies
- Serve as a senior technical thought leader and mentor engineers
Requirements
- 5+ years of progressive experience in cloud engineering, infrastructure, or platform engineering roles
- Deep hands-on expertise across AWS compute, networking, storage, containers, security, and AI/ML services
- Experience designing cloud foundations for large-scale AI and machine learning workloads
- Experience with GPU compute, high-throughput storage, and secure model serving infrastructure
- Experience applying AI and automation to cloud platform operations
- Experience designing and operating multi-account environments with AWS Control Tower, AWS Organizations, and AFT
- Expertise in cloud security, IAM, zero-trust principles, and regulated-industry compliance frameworks
- Proficiency with Terraform, OpenTofu, or CloudFormation, including module design, state management, and pipeline integration
- Proficiency in Python, Bash, or similar scripting languages
- Ability to lead complex technical initiatives, influence cross-functional teams, and mentor senior engineers
- AWS Solutions Architect Professional or AI Specialty certification preferred
- Experience with Bedrock, AgentCore, or similar AI/ML platforms preferred
- Multi-cloud experience with GCP, Azure, or OCI preferred
- AIOps or AI-assisted cloud management tooling experience preferred
- Familiarity with FinOps and cloud cost optimization preferred
- Experience leading large-scale cloud migration or modernization programs in regulated industries preferred
Core Competencies
Demonstrates expertise in designing and implementing enterprise-grade AWS cloud infrastructure, with a focus on AI and machine learning deployments. Proficient in cloud governance, security, and automation, while leading cross-functional teams and mentoring engineers.
Highest-signal resume keywords
- AWS Cloud Engineering
- Terraform/OpenTofu Infrastructure as Code
- AI and Machine Learning Services
- Cloud Security and Compliance
- AIOps and Predictive Monitoring
ATS Optimization Keywords
Hard Skills
- AWS Compute
- AWS Networking
- AWS Storage
- AWS Security
- Python
- Bash
- GPU Compute
- Multi-Account Environments
- CloudFormation
- AI-Assisted Infrastructure Management
Soft Skills
- Technical Leadership
- Cross-Functional Collaboration
- Mentoring
Certifications & Qualifications
- AWS Solutions Architect Professional
- AWS AI Specialty
Industry Keywords
- Cloud Migration
- Cloud Modernization
- Regulated Industry Compliance
- FinOps
- Cloud Cost Optimization
Tools & Technologies
- Terraform
- OpenTofu
- AWS Control Tower
- AWS Organizations
- AIOps Tooling