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: Infrastructure Engineer – Automation 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.
Job Summary We are seeking an Infrastructure Engineer – Automation with deep Terraform expertise to design, build, and maintain the infrastructure-as-code foundations that power our cloud and hybrid environments. This role focuses on creating reusable Terraform modules, hardening pipelines, enforcing policy-as-code, and standardizing infrastructure delivery across multiple teams and cloud providers. The ideal candidate brings strong software engineering discipline to infrastructure work, has shipped production-grade Terraform at scale, and understands the operational realities of managing thousands of resources across many environments and accounts.
Required Qualifications
5+ years of experience in cloud infrastructure or DevOps engineering, with significant Terraform focus.
Deep, hands-on expertise authoring and maintaining production Terraform across at least one major cloud provider.
Strong experience designing reusable Terraform modules with clean APIs and version discipline.
Hands-on experience with Terraform state management, backends, and large-scale workspace organization.
Strong scripting skills in Python, Go, or Bash.
Experience with CI/CD pipelines for infrastructure code and automated policy enforcement.
Solid understanding of cloud networking, identity, and security primitives.
Strong Git-based workflows including code review, branching, and release management.
Preferred Qualifications
Experience with multi-cloud Terraform (AWS + Azure or AWS + GCP).
Familiarity with Terragrunt, Atlantis, Spacelift, or env0.
Experience with policy-as-code engines (Sentinel, OPA, Checkov).
Contributions to public Terraform modules or providers.
Exposure to FinOps practices and tagging-driven cost governance.
How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3545. 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.
