Cloud Infrastructure Engineer - AWS

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title

Cloud Infrastructure Engineer – AWS Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary Bright Vision Technologies is seeking a highly experienced Cloud Infrastructure Engineer – AWS with 10+ years of professional IT and cloud engineering experience , including extensive expertise designing, building, and operating enterprise-scale AWS environments. This is a hands-on senior engineering role responsible for cloud architecture, Infrastructure as Code (IaC), platform automation, security, observability, governance, and operational excellence. The ideal candidate will possess deep knowledge of AWS services, Kubernetes, DevOps, cloud security, and Site Reliability Engineering (SRE) while providing technical leadership across mission-critical cloud initiatives.

Key Responsibilities

• Architect, deploy, and operate secure, scalable, and highly available AWS cloud environments supporting enterprise production workloads.
• Design multi-account AWS Organizations, landing zones, Service Control Policies (SCPs), centralized logging, governance frameworks, and shared services architectures.
• Develop and maintain Infrastructure as Code using Terraform, AWS CloudFormation, or AWS CDK , following enterprise DevOps and GitOps best practices.
• Design resilient AWS networking architectures, including VPCs, Transit Gateway, Direct Connect, VPN, Route 53, Network Load Balancer, and Application Load Balancer .
• Implement enterprise identity and access management using IAM, AWS IAM Identity Center (AWS SSO), permission boundaries, least-privilege access, and secrets management .
• Design, deploy, and operate container platforms using Amazon EKS, ECS, and AWS Fargate , integrating Kubernetes, service mesh technologies, and cloud-native networking.
• Manage AWS data platforms including Amazon RDS, Aurora, DynamoDB, S3, Redshift, Glue, EMR, and Kinesis , ensuring scalability, resilience, and performance.
• Build and optimize CI/CD pipelines using AWS CodePipeline, CodeBuild, GitHub Actions, Jenkins, or GitLab CI to automate infrastructure and application deployments.
• Implement enterprise observability solutions using Amazon CloudWatch, AWS X-Ray, OpenTelemetry, Prometheus, Grafana, and distributed tracing .
• Drive cloud optimization initiatives focused on performance, availability, security, automation, and FinOps-based cost management.
• Design disaster recovery, backup, failover, and business continuity strategies across multi-region AWS deployments.
• Strengthen cloud security using AWS Security Hub, GuardDuty, Inspector, Macie, Config, CloudTrail, AWS KMS, and encryption best practices .
• Develop automation tools and operational scripts using Python, Bash, Go, or PowerShell to improve operational efficiency and incident response.
• Lead architecture reviews, mentor cloud engineers, establish engineering standards, and provide technical leadership across cloud platform initiatives.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• 10+ years of professional IT and cloud engineering experience , including 5+ years designing and operating enterprise AWS environments .
• Expert knowledge of AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, Route 53, API Gateway, and CloudFormation .
• Extensive hands-on experience with Infrastructure as Code using Terraform, AWS CDK, or CloudFormation .
• Strong experience designing and operating production-scale Amazon EKS , ECS , or Kubernetes environments.
• Proven expertise building CI/CD pipelines and implementing DevOps, GitOps, and Infrastructure Automation practices.
• Strong scripting skills using Python , Bash , and preferably Go or PowerShell .
• Deep understanding of cloud s…