DevSecOps Software Engineer

Gilder Search Group; Hampton (VA); On-site; USD 110,000 - 130,000; Full time

Job summary

A leading technology consulting firm in Hampton, VA is seeking an experienced DevOps engineer to design and implement CI/CD pipelines using GitHub and AWS. The ideal candidate will have over 5 years of experience in cloud environments, particularly AWS, and a strong background in Infrastructure as Code. This role requires expertise in automating workflows and ensuring products are secure and scalable in an AI-driven cyber-security landscape.

Qualifications

• 5+ years of experience in cloud environments such as AWS.
• Strong experience in Infrastructure as Code tools like Terraform.
• Experience in building production-grade applications.

Responsibilities

• Design and implement automated CI/CD pipelines using GitHub and AWS.
• Develop IaC with Terraform or AWS CloudFormation.
• Ensure security controls are embedded in the development lifecycle.

Skills

AWS

Terraform

Infrastructure as Code (IaC)

CI/CD pipelines

Agile methodology

Education

Bachelor's degree in Science, Technology, Engineering, or Mathematics

Tools

GitHub Actions

Docker

Kubernetes

Job description

Input Technology Solutions -Hampton, VA, United States

Today’s dynamic technology landscape demands constant and rapid innovation. To facilitate this transformation, we must ensure continuous integration and application development. That’s why we need you, an experienced DevOps engineer who’s eager to design, test, and program critical applications for our clients who need them most.

This role focuses on establishing and operating robust infrastructure for our agentic products, with an emphasis on Infrastructure as Code (IaC) and integrating security into DevOps practices. You will design and implement a fully matured CI/CD pipeline using GitHub and AWS, spanning development, integration, staging, and production environments. As a key contributor, you'll ensure our products are secure, scalable, and market-ready, driving efficiency and innovation in our cybersecurity offerings.

What You’ll Work On:

• Design, implement, and maintain automated CI/CD pipelines using GitHub Actions, integrated seamlessly with AWS services to support agentic AI product deployments across dev, integration, staging, and production environments.
• Develop and manage IaC using tools like Terraform or AWS CloudFormation to provision and configure AWS resources, ensuring consistency, scalability, and security.
• Embed security controls, monitoring, and automated testing, including vulnerability scanning and compliance checks, into the development lifecycle to mitigate risks in agentic product workflows.
• Configure and optimize AWS services such as EC2, S3, Lambda, or ECS/EKS for high availability, performance, and cost-efficiency, tailored to AI-driven cybersecurity applications.
• Work closely with AI engineers, product managers, and developers to align infrastructure with product needs, troubleshoot issues, and foster a culture of automation and security.
• Monitor pipeline performance, implement best practices for disaster recovery and scaling, and stay ahead of emerging DevSecOps trends to enhance product reliability and market value.

You Have:

• 5+ years of experience building and operating production-grade full-stack applications in cloud environments such as AWS, Azure, Oracle, or GCP
• 3+ years of experience with design and architecture, including design patterns, C/CD pipelines, scripting, and scaling of new and existing systems
• 3+ years of experience in Infrastructure as Code such as Terraform, ArgoCD, or CloudFormation
• Experience with Agile methodology, software engineering, product management, and software products
• Experience writing source code for new applications, or generating and enhancing code samples for existing applications
• Experience mentoring or supervising employees within a collaborative team environment
• Experience acquiring client requirements and resolving workflow problems through automation optimization
• TS/SCI clearance
• Bachelor's degree in Science, Technology, Engineering, or Mathematics

Nice If You Have:

• 7+ years of experience building and operating production-grade full-stack applications in cloud environments such as AWS
• 5+ years of experience with design and architecture, including design patterns, reliability, and scaling of new and existing systems
• Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, Jenkins, or Azure
• Experience triaging and resolving issues related to both open-source and commercial tools in public cloud environments
• Experience creating and improving continuous automation across multiple technical stacks
• Experience with containerization and container orchestration platforms using tools such as Docker and Kubernetes
• Experience working with or developing AI and ML-based products
• Knowledge of common build tools such as Maven, Gradle, and NPM
• Knowledge of AI frameworks such as TensorFlow, PyTorch, and scikit-learn

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.