Job Description :

Role-Lead Cloud Engineer (AWS and GCP)

Location - Las Vegas, NV
Duration: 12 months

Design, implement, and manage cloud infrastructure solutions on AWS and GCP platforms, adhering to industry best practices and standards.

Architect highly scalable, available, and fault-tolerant systems to meet business requirements.

Provide leadership and mentorship to cloud engineering teams.

Lead networking architecture design across cloud environments, including VPC design, inter-region connectivity, hybrid cloud setups, and integration with on-premises networks.

Optimize cloud infrastructure for performance, cost, and reliability.

Develop and implement automation strategies using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Deployment Manager.

Collaborate with security teams to ensure cloud infrastructure meets compliance and security requirements.

Monitor and manage the end-to-end lifecycle of cloud-based solutions, addressing issues proactively.

Provide technical guidance to stakeholders and act as the subject matter expert for AWS and GCP cloud services.

Conduct cloud migration assessments and execute application migration strategies.

Stay up-to-date with advancements in cloud technologies, tools, and services.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in IT infrastructure, with at least 5 years of experience in cloud architecture and engineering.

Proven expertise in AWS and GCP cloud platforms, with relevant certifications (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect).

Strong experience in networking architecture, including VPCs, hybrid networking, VPN, and direct connect setups.

Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Deployment Manager.

Expertise in cloud-native services, container orchestration (Kubernetes, EKS, GKE), and serverless architectures.

Experience with monitoring and logging tools (e.g., CloudWatch, Stackdriver, Prometheus, Grafana).

Solid understanding of security best practices in cloud environments, including IAM, encryption, and compliance frameworks.

Proficiency in scripting languages like Python, Bash, or similar.

Demonstrated ability to lead teams, collaborate with stakeholders, and manage multiple projects effectively.

Strong analytical and problem-solving skills.

             

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