Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Cloud Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.
MEANINGFUL WORK AND PERSONAL IMPACT
GDIT is seeking a skilled Cloud Engineer DevSecOps with expertise in AWS, Azure, and Google Cloud to provide engineering support for our Enterprise Mission Information Technology Services (EMITS) program. This role supports critical missions for U.S. Army Europe and AFRICOM, focusing on cloud environments and data engineering solutions.
How a Cloud Data Engineer will make an impact: As a Cloud Data Engineer, you will play a key role in implementing and optimizing Google Cloud Platform (GCP)environments for our customers, while also contributing to projects involving AWS and Azure. You will leverage your knowledge in Google Cloud tools and services to design scalable, secure, and cost-effective solutions, ensuring seamless integration across multi-cloud platforms.
Your responsibilities will include:
Architecting, analyzing, and supporting modern cloud environments, with a primary focus on a multi-cloud environment team using Google Cloud Platform (GCP), AWS, and Azure cloud platforms.
Utilizing Google Cloud-native tools alongside AWS and Azure services to analyze environments and provide actionable recommendations for cost savings and optimization strategies.
Performing analysis and supporting multiple cloud services, architecture, and storage solutions across Google Cloud, AWS, and Azure platforms.
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Cloud Engineer Senior must have:
Education: Bachelor’s degree in computer science, Information Technology, or a related field.
Experience: 1-2 years of experience working with Google Cloud Platform (GCP), including familiarity with its core services and tools; 3-4 years of hands-on experience in a cloud engineering role, with AWS and/or Azure cloud platforms.
Technical skills:
Proven experience with Infrastructure as Code (IaC) tools, specifically Terraform, for provisioning and managing cloud infrastructure across AWS, Azure, and Google Cloud Platform (GCP).
Hands-on expertise with Ansible for configuration management and automation of IT environments.
Extensive knowledge of modern cloud design and engineering principles, with deep expertise in AWS and Azure ecosystems, and working knowledge of Google Cloud Platform (GCP).
Proficiency in deploying and managing Kubernetes and/or ECS, including container orchestration across multi-cloud environments.
DevSecOps experience, including building and maintaining CI/CD pipelines across cloud platforms.
Proficiency in scripting languages such as Python, Bash, and/or PowerShell for automation and cloud operations.
Strong Linux administration skills.
Superior knowledge of Agile methodologies and iterative development principles in a fast-paced, service-oriented environment.
Candidates should possess the ability to deploy and manage resources across multiple cloud environments using code and Infrastructure as Code (IaC) tools, rather than manual, click-based operations. We value engineers who automate deployments and configurations, ensuring repeatability, scalability, and efficiency without relying on manual processes.
Security clearance level: Must be a U.S. Citizen with an active Secret security clearance.
US citizenship required
Role requirements:
4+ years of experience as a Cloud Analyst/Engineer, with a focus on AWS and/or Azure cloud services.
1-2 years of experience working with Google Cloud Platform (GCP), including exposure to its core services and tools.
Proficiency with AWS, Azure, GCP cloud services, including Amazon S3, and AWS CLI.
Experience with Python, Terraform, and containerization technologies such as Kubernetes and or Docker.
Certifications:
Current DoD 8570 IAT Level II certification (e.g., Security+).
At least one current cloud certification (e.g., AWS, Azure, or Google Cloud).
Must obtain ITIL v5 Foundations certification within 90 days of employment if not already certified.
Must be able to obtain German TESA:
TESA requirements:
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
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