Cloud Solutions Engineer - AWS/Azure, Terraform & DevOps

General Dynamics Information Technology; United States; Hybrid; USD 123,000 - 167,000; Full time

Job summary

General Dynamics Information Technology is seeking a Cloud Solutions Engineer for NIH CIT Hosting and Storage Services. Remote candidates are welcome, with a preference for onsite in Bethesda, MD three days per week; some travel and fingerprinting will be required.

You will design, deliver, and own cloud solutions in AWS and Azure, leveraging Terraform and automation for scalable, secure architectures, while collaborating with an Agile Cloud DevOps team to support scientific workloads and data

Qualifications

• BS/BA and 6+ years of relevant IT experience, or equivalent experience.
• Strong hands-on AWS and Azure experience across compute, storage, databases, networking, identity, security, monitoring, and related cloud services.
• Experience designing and implementing cloud solutions for applications and data, with knowledge of application architectures, availability, scalability, resiliency, security, and lifecycle requirements.
• Strong Infrastructure as Code experience using Terraform, including developing custom modules, leveraging reusable modules, and working within shared Git-based code repositories.
• Experience with cloud networking, identity and access management, security, and DevOps/CI/CD practices, including automated infrastructure and application deployment, testing, security scanning, and monitoring.
• Experience independently owning technical solutions from requirements gathering and architecture through implementation, troubleshooting, documentation, and transition to operations.
• Strong consulting, communication, and analytic skills, with experience engaging customers, translating requirements into technical architectures, evaluating tradeoffs and downstream impacts, and delivering solutions within an Agile sprint-based environment.

Responsibilities

• Partner directly with customers to discover and document business, application, data, security, and technical requirements and translate them into cloud architectures and actionable engineering plans.
• Design and implement custom solutions in AWS and Azure for application and data hosting, including scientific and research platforms such as REDCap, Posit, and other specialized workloads that do not align with standard IaaS or PaaS offerings.
• Engineer end-to-end cloud solutions incorporating compute, storage, databases, networking, identity and access management, security, monitoring, backup/recovery, application architecture, and other required cloud services.
• Develop and maintain Terraform modules, configuration, scripts, and automation required to provision and manage custom solutions, leveraging standard reusable services and patterns wherever practical.
• Design and integrate DevOps and CI/CD capabilities that support application deployment, infrastructure delivery, security scanning, testing, monitoring, and ongoing lifecycle management.
• Apply sound engineering judgment and second-order thinking to evaluate technical alternatives, dependencies, security risks, operational impacts, scalability, maintainability, and long-term consequences when recommending solutions.
• Independently drive assigned solutions through delivery while collaborating within an Agile Cloud DevOps team, participating in sprint planning, technical design and code reviews, and coordinating with security, infrastructure, application, and other engineering teams as needed.

Skills

CI/CD

Cloud Infrastructure

Cloud Networking

DevOps

Terraform (Software)

Education

BS/BA and 6+ years of relevant IT experience, or equivalent experience.

Tools

Terraform

Job description

General Dynamics Information Technology is seeking a Cloud Solutions Engineer for NIH CIT Hosting and Storage Services. Remote candidates are welcome, with a preference for onsite in Bethesda, MD three days per week; some travel and fingerprinting will be required.

You will design, deliver, and own cloud solutions in AWS and Azure, leveraging Terraform and automation for scalable, secure architectures, while collaborating with an Agile Cloud DevOps team to support scientific workloads and data