Job Specifications
Title: Senior Cloud Security Engineer/Architect
Locations: Alpharetta, GA, Columbus, OH, Berkeley Heights, NJ, Frisco, TX
Environment: Onsite
Duration: 6 month contract to hire
Contract pay: $68-$90/hour W2
Conversion salary: $150k-$188k
NO C2C
** Due to client requirements, US Citizen or GC Holder ONLY **
Requirements
Minimum 13+ years of professional experience in Cloud Infrastructure, DevOps, or Site Reliability Engineering.
Strong Infrastructure as Code (IaC) expertise with Terraform-hands-on experience creating and managing EKS clusters, repositories, and Terraform modules.
Architect, implement, and manage Azure IaaS infrastructure encompassing VNets, subnets, network security groups, VPN gateways, CDNs, Traffic Manager, peering, custom routes, DNS, DHCP, and virtual appliances.
Proven proficiency across Azure and/or AWS (multi-cloud experience preferred).
Strong security mindset with practical experience in IAM, vulnerability remediation, encryption, and patching.
Solid understanding of DNS, Docker, Kubernetes, and containerization best practices.
Experience with Windows and Linux/Unix system and network administration (8+ years).
Proficiency in one or more programming/scripting languages: Python, Go, Bash, or Ruby.
Expertise in Terraform, Ansible, or Chef for automation and configuration management.
Hands-on experience with cloud services (AWS, Azure, GCP) - including EC2, S3, Kubernetes, and serverless environments.
Knowledge of networking fundamentals: DNS, firewalls, load balancing, and VPNs.
Experience with container orchestration using Docker, Kubernetes, or OpenShift.
Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or New Relic.
CI/CD pipeline development using Jenkins, GitLab CI, GitHub Actions, or CircleCI.
Bonus: Experience with HashiCorp Vault and advanced Terraform module design.
Deep understanding of access control, encryption standards, secure coding practices, and regulatory frameworks
Skilled in incident management, root cause analysis, automation, and performance tuning.
Understanding of SLOs/SLAs, system scalability, redundancy, and resilience best practices.