Technology Lead | Data On Cloud - Platform | AWS
Expedite Talent Solutions · San Diego, CA · 3 wk ago
On-siteOTHRFull-time
Location: San Diego, CA 92121 | Duration: 11 months | Onsite from day one
About the Role
A seasoned AWS professional capable of leading cloud transformation initiatives, establishing cloud governance, optimizing cloud operations, and driving enterprise adoption of AWS best practices.
Responsibilities
- Design, deploy, and manage enterprise-scale AWS cloud environments using services such as EC2, VPC, S3, RDS, Lambda, API Gateway, CloudFront, Route 53, ECS/EKS, and IAM.
- Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
- Lead cloud migration, modernization, and transformation initiatives for enterprise applications.
- Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar DevOps tools.
- Implement containerization and orchestration solutions using Docker, Kubernetes, AWS ECS, and AWS EKS.
- Establish monitoring, logging, and observability using CloudWatch, CloudTrail, Prometheus, Grafana, and related tools.
- Ensure cloud environments meet security, governance, compliance, and audit requirements through IAM, encryption, and network security controls.
- Drive cloud cost optimization and operational efficiency using AWS native tools and FinOps best practices.
- Support disaster recovery, backup strategies, high availability, and business continuity planning.
- Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Requirements
- 8-10 years of experience in DevOps or cloud engineering roles.
- Bachelor’s or Master’s degree in Engineering (BE).
- Strong hands-on experience with AWS Cloud Platform.
- Expertise in AWS services including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, API Gateway, Route 53, ECS/EKS, and CloudWatch.
- Experience with Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
- Strong knowledge of Linux/Unix administration.
- Experience with CI/CD pipelines and DevOps toolchains.
- Expertise in Docker and Kubernetes platforms.
- Experience in cloud migration and modernization projects.
- Scripting experience with Python, Bash, or PowerShell.