AWS Cloud – 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: AWS Cloud Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $90,000–$110,000 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.
Job Summary We are seeking an experienced AWS Cloud 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 DevOps 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.
Required Qualifications
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, CloudFront, and CloudFormation.
Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation.
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 PowerShell 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, communication, and documentation skills.
Preferred Qualifications
AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification.
Experience with multi-account AWS Organizations and centralized governance.
Familiarity with service mesh, eBPF-based observability, and zero-trust networking.
Exposure to FinOps practices and well-architected cost-optimization frameworks.
Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP).
How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to . Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.
