Cloud Infrastructure Engineer – AWS

Cloud Infrastructure Engineer - AWS
- Remote

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: $100,000-$150,000 Annually

Experience

Required:

6+ 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.

We are seeking an experienced Cloud Infrastructure Engineer - AWS to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep Dev Ops fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business.

• Architect, deploy, and operate enterprise-grade AWS environments across compute, networking, storage, identity, and managed data services, with strong attention to scalability, reliability, and security.
• Author and maintain production-quality infrastructure-as-code using Terraform, AWS Cloud Formation, or AWS CDK, with rigorous version control, peer review, and automated validation.
• Design multi-account AWS organizations, including landing zones, SCPs, centralized logging, and shared services, to support secure and scalable enterprise adoption.
• Build secure VPC topologies - including subnetting, route tables, transit gateways, VPN, and Direct Connect integrations - that meet enterprise connectivity and isolation requirements.
• Implement strong IAM strategies using roles, permission boundaries, SCPs, AWS SSO, and short-lived credentials to enforce least-privilege access across the organization.
• Design, deploy, and operate Amazon EKS clusters and other container platforms (ECS, Fargate), including auto-scaling, networking, and integration with service meshes and observability stacks.
• Operate AWS managed data and analytics services such as RDS, Aurora, DynamoDB, S3, Redshift, Glue, and Kinesis, optimizing each for the access patterns and SLAs of the workloads it supports.
• Build and maintain robust CI/CD pipelines using AWS Code Pipeline, Code Build, Jenkins, Git Hub Actions, or Git Lab CI, enabling repeatable, audited deployments of both infrastructure and applications.
• Implement comprehensive observability using Cloud Watch, X-Ray, AWS Distro for Open Telemetry, Prometheus, Grafana, and third-party tooling, with well-designed dashboards, alerts, and SLOs.
• Drive ongoing cost optimization through right-sizing, savings plans, reserved instances, lifecycle policies, and architectural simplification, with measurable savings tracked over time.
• Implement disaster-recovery and business-continuity capabilities, including cross-region replication, automated backups, regular failover testing, and documented runbooks.
• Strengthen security posture using AWS Security Hub, Guard Duty, Macie, Inspector, Config, and Cloud Trail, and lead remediation of findings in collaboration with security teams.
• Advise application development teams on AWS-native design patterns, anti-patterns, and the appropriate service choices for each problem domain.
• Develop automation scripts and operational tooling in Python, Bash, and Go to streamline routine work and accelerate incident response.
• Mentor junior engineers, lead architecture and design reviews, and contribute thought leadership to the broader cloud community within the organization.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of cloud engineering experience, with at least three years focused on AWS in production environments.
• Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, Cloud Front, and Cloud Formation.
• Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or Cloud Formation.
• Solid experience designing and operating Amazon EKS or ECS clusters at scale.
• Hands-on experience with CI/CD pipelines across infrastructure and application workloads.
• Strong scripting skills in Python and Bash, with familiarity in Go or Power Shell considered a plus.
• Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements.
• Experience implementing observability, monitoring, and alerting in cloud-native environments.
• Strong troubleshooting,…