• Define and continuously evolve the target architecture for our hybrid IT infrastructure, ensuring that on-premises and cloud environments are designed as one integrated ecosystem • Establish and maintain architecture standards for network segmentation, naming conventions, security baselines, and reusable Infrastructure as Code modules • Evaluate technologies and support architecture decisions by determining the most suitable platform for workloads across on-premises, Azure, and AWS environments • Collaborate closely with the Cloud & Platform team to establish shared architecture principles, standards, and technical best practices • Conduct architecture reviews for infrastructure and cloud projects to ensure consistency, scalability, and security • Drive the adoption of Infrastructure as Code as the team's standard way of working by designing and implementing reusable Terraform and/or Ansible modules • Define repository structures, code review processes, and deployment workflows to establish scalable Infrastructure as Code practices • Support and coach Infrastructure Engineers through pair programming, technical workshops, and knowledge sharing to enable long-term adoption of Infrastructure as Code • Coordinate the collaboration between Infrastructure and Cloud & Platform teams by defining clear ownership, provisioning responsibilities, and operational handover processes • Create and maintain architecture documentation, technical standards, and decision records while supporting project teams with realistic infrastructure planning and architectural guidance

Role Description We are seeking an Infrastructure Automation Engineer 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. Key Responsibilities - Design, develop, and maintain modular, composable Terraform code that codifies the entire infrastructure estate across cloud accounts and environments. - Build a library of well-tested, reusable Terraform modules with clear interfaces, semantic versioning, and comprehensive documentation. - Implement Terraform automation pipelines using GitHub Actions, GitLab CI, Atlantis, Terraform Cloud, or Spacelift, with plan/apply gating, drift detection, and policy enforcement. - Define and enforce policy-as-code using Sentinel, Open Policy Agent (OPA), Conftest, or Checkov to prevent insecure or non-compliant infrastructure changes. - Manage Terraform state at scale with appropriate backend strategies, state locking, workspace organization, and disaster recovery patterns. - Drive multi-account, multi-region, and multi-cloud infrastructure provisioning strategies with clear isolation, naming, and tagging standards. - Implement infrastructure testing including unit tests with terraform-compliance, integration tests with Terratest, and policy tests across pull requests. - Collaborate with security, networking, and platform teams to embed guardrails directly into reusable modules and pipelines. - Standardize patterns for secrets management, identity federation, and least-privilege IAM through reusable Terraform abstractions. - Lead migrations from legacy, ClickOps, or non-IaC infrastructure into managed Terraform footprints with minimal disruption. - Drive cost optimization, tagging hygiene, and lifecycle management across the Terraform-managed estate. - Mentor engineering teams on Terraform best practices, anti-patterns, and pull-request review standards. - Maintain comprehensive runbooks, architecture diagrams, and onboarding materials for the infrastructure platform. - Stay current with Terraform, OpenTofu, and broader IaC ecosystem developments and recommend adoption where beneficial. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field. - Five or more 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. - Excellent troubleshooting and root-cause analysis skills. 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 [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com .

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents. • Act as a senior escalation point for operational teams during critical service-impacting events. • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments. • Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues. • Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks. • Lead root cause analysis activities and drive long-term corrective actions. • Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges. • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services. • Drive improvements in platform reliability, observability, monitoring, and operational processes. • Identify opportunities to automate repetitive operational activities and improve operational efficiency. • Mentor and support AI Infrastructure & Platform Operations Engineers.

• Monitor, operate, and support production AI infrastructure platforms. • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents. • Support NVIDIA GPU infrastructure and associated platform services. • Monitor and troubleshoot Kubernetes-based environments. • Investigate performance, availability, and reliability issues across infrastructure and platform components. • Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues. • Participate in incident response, root cause analysis, and operational improvement activities. • Contribute to improvements in monitoring, observability, automation, and operational processes. • Maintain operational documentation, runbooks, and knowledge articles.