Senior Cloud Engineer (AI)

CACI International Inc.; Virginia (MN); Remote; USD 104,000 - 230,000; Full time

Job summary

An established industry player is seeking a Senior Cloud Engineer to spearhead innovative AI initiatives for the U.S. Department of Homeland Security. This role offers the chance to work with cutting-edge technologies in cloud infrastructure, focusing on Generative AI solutions. The ideal candidate will have a robust technical background, capable of designing and optimizing cloud-native services while collaborating with agile teams. This remote-eligible position promises a culture of integrity and trust, allowing you to grow your career while contributing to vital national missions. Join a high-performing team dedicated to making a difference in the safety of our nation.

Benefits

Flexible Time Off

Comprehensive Healthcare

Continuing Education Opportunities

Retirement Benefits

Wellness Programs

Qualifications

• 12+ years of experience in cloud engineering with a focus on AI technologies.
• Strong expertise in Azure and AWS cloud environments and services.

Responsibilities

• Design and optimize cloud-native services based on well-architected frameworks.
• Develop Infrastructure as Code solutions to automate cloud provisioning.

Skills

Cloud Infrastructure Management

AI/GenAI Solutions Development

Infrastructure as Code (IaC)

DevSecOps

Agile Software Development

Monitoring and Performance Tuning

Scripting Languages (Terraform, Python, etc.)

Education

MA/MS in a related field

BA/BS + 15 years applicable experience

Tools

Azure

AWS

Terraform

Azure DevOps

Kubernetes

Docker

Job description

Senior Cloud Engineer (AI)

Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local

The Opportunity:

CACI is seeking a Senior Cloud Engineer to join our team of technical and functional experts supporting the U.S. Department of Homeland Security (DHS) Headquarters, Chief Technology Officer Directorate (CTOD), Artificial Intelligence and Emerging Technology (AI/ET) initiative. This team works with a federal workforce staff with technical expertise for the smooth functioning of high-visibility, department-wide AI initiatives including Generative Artificial Intelligence solutions.

Ideal candidates will possess a robust technical background with ability to directly setup, configure, and script cloud services and infrastructure as part of small, agile teams developing new cloud-based AI/GenAI applications. Candidates should have a deep understanding and experience using all facets of the well-architected framework for cloud infrastructure and services to deliver robust, scalable, and resilient cloud-based applications. Candidates demonstrating significant expertise in developing cloud infrastructure and services to deploy Generative AI (GenAI) solutions such as Azure OpenAI are highly desirable. A strong passion for AI technologies and a proven track record in planning and executing early-stage cloud applications should be clearly highlighted in the resume.

This is a remote work eligible position.

Responsibilities:

Responsibilities include, but are not limited to:

• Design, engineer, operate and optimize cloud native services and infrastructure for applications hosted in the cloud environment based on the principles of well-architected frameworks (Azure and AWS)
• Configure, create, and maintain effective solutions to monitor the health and performance of cloud infrastructure components including robust alerting and dashboards
• Develop Infrastructure as Code (IaC) and DevSecOps solutions to improve development velocity, and to automate infrastructure provisioning
• Communicate and collaborate proactively with client and peer engineering and product management resources in a professional and effective manner.
• Implement RAG architectures and other AI focused system architectures.

Qualifications:

Required:

• Ability to obtain DoD Security Clearance
• Ability to obtain Department of Homeland Security (DHS) Entry On Duty (EOD) - Active EOD preferred
• MA/MS and 12 years’ experience in a related field, or equivalent (equivalency includes BA/BS + 15 years applicable experience)
• Demonstrated ability to analyze technically complex problems and develop and implement reliable solutions in a cloud environment
• Deep expertise in building and operating high performance systems in Azure Cloud environment, expertise in AWS a plus.
• Expertise in multiple software and scripting languages for cloud engineering including, but not limited to: Terraform, Python, JavaScript, BASH, PowerShell, SQL, YAML, and JSON.
• Expertise with DevSecOps/CICD pipeline management to create and automate cloud infrastructure provisioning through Infrastructure as Code (ex. Terraform, etc.), and Azure DevOps.
• Experience with monitoring infrastructure performance using Azure Monitor, Log Analytics, and Application Insights to set up a robust alerts and dashboards to monitor infrastructure health and performance, ideally in an Azure OpenAI system.
• Experience implementing AI/ML/GenAI capabilities desired including an understanding of Retrieval Augmented Generation (RAG) based architectures
• Experience working in Agile software development environments
• Ability to work proactively and communicate professionally in a cross-functional team and client environment

Desired:

• Experience with Azure OpenAI and understanding of Microsoft Azure services for Generative AI/LLM infrastructure.
• Experience with operating Kubernetes platforms, and experience building and deploying Docker applications.
• Experience with deploying and integrating Open-Source AI models.
• Experience integrating and working with AWS Bedrock APIs
• Technical certifications in Microsoft Azure or Cloud such as Azure Solution Architect, AWS Certified Developer Associate or Azure Developer Associate.
• Experience with DevOps (CICD) solutions such as Azure DevOps, GitLab, etc.
• Experience with AI/ML solutions or complex solutions for predictive analytics.
• Experience working in a geographically dispersed, remote team.
• Understanding of Data Science principles and best practice

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Your potential is limitless. So is ours.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $104,200-$229,200

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.