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Tittle: Principal Cloud Architect
Location: Salt Lake City, UT – Hybrid
Position Type: Direct Hire
Compensation: $150,000-175,000
Principal DevOps Engineer to help architect and drive our cloud and AI infrastructure strategy across AWS and private cloud environments. This role sets the platform standards that make Bedrock-backed agents, agentic workflows on AgentCore, and high-throughput LLM serving reliable, secure, and cost-efficient at enterprise scale. You’ll work closely with architecture leadership, guide engineering teams, and establish best practices for delivering production-grade AI platforms.
What You Will Do
- Architect and communicate cloud and AI platform strategies to both technical and non-technical stakeholders.
- Lead and mentor engineers, manage work, and set technical direction for cloud infrastructure and AI platform practices.
- Partner with the Architect Owner and Enterprise Architect to define, design, and validate solution architectures for platform and AI application workloads on AWS.
- Define platform standards for AI workload deployment, including:
- model versioning and promotion strategies
- inference serving patterns
- cost-per-inference governance
- AI API reliability and resiliency standards
- Administer Amazon EKS at enterprise scale, including multi-cluster federation and AI workload scheduling policies.
- Design observability strategies using Dynatrace, including service performance SLOs, cost dashboards, and incident response playbooks.
Background and Skills You Will Need
- 8+ years in DevOps, platform engineering, or cloud infrastructure roles.
- 8+ years administering Amazon EKS / Kubernetes at enterprise scale.
- Strong scripting skills with Bash and Python (8+ years hands-on).
- 8+ years managing CI/CD pipelines and GitOps workflows (e.g., GitHub Actions, ArgoCD, or similar).
- 8+ years working with AWS services, including EC2, VPC, S3, EKS, IAM, CloudFront, ALB/NLB, and RDS.
- 8+ years designing Infrastructure as Code and cloud-native architecture using Terraform and AWS CDK.
- 8+ years administering Linux systems.
- Proven mastery of AWS cloud and AI infrastructure, including Bedrock, AgentCore, and cloud-native architecture patterns.
- Strong experience with Dynatrace and enterprise observability strategy, including monitoring AI workloads.
- Knowledge of CIS, NIST, and SOX compliance frameworks and audit processes.
- Strong experience with centralized logging (e.g., CloudWatch, Dynatrace).
- Strong networking foundation including VPC, Transit Gateway, security groups, load balancing, and routing.
- Solid grasp of security governance and compliance for cloud and AI systems.
- Demonstrated ability to mentor and develop engineers across multiple levels.
- Experience deploying and operating agentic AI systems on AWS, including AgentCore and Bedrock Agents.
- Familiarity with service discovery tools such as AWS Cloud Map and Consul.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.