Cloud Engineer - All Levels

Overview:

FedWriters is growing its Artificial Intelligence and Machine Learning (AI/ML) capabilities to support anticipated projects and innovative solutions for future contracts. As part of this expanding team, you’ll have opportunities to shape impactful AI/ML models that advance decision-making and efficiency across diverse applications.

Recently recognized as a 2024 Top Workplace by the Washington Post, FedWriters offers a collaborative and growth-focused environment, ideal for forward-thinking professionals ready to drive the future of AI/ML.

We are seeking Cloud Engineers of all levels to design, manage, and optimize cloud infrastructure that supports AI and machine learning models. In this role, you’ll ensure reliable cloud storage, computing power, and efficient scaling for high-performance AI applications. You will work closely with data engineers and ML engineers to support end-to-end solutions, utilizing distributed systems and cloud-native technologies.  Whether you're at the beginning of your career or have extensive experience, you’ll play a vital role in pushing technology boundaries and delivering meaningful outcomes. 

• Architect, deploy, and maintain cloud infrastructure on platforms such as AWS, Azure, and Google Cloud to support data and AI/ML pipelines.
• Optimize cloud resources to ensure efficient storage, computing power, and scalability for machine learning models.
• Implement distributed systems and microservices architectures to support AI/ML applications.
• Collaborate with data engineers and machine learning engineers to design cloud solutions that align with project goals and performance requirements.
• Use DevOps tools to establish CI/CD pipelines, automate deployments, and maintain infrastructure integrity.
• Monitor and troubleshoot cloud systems to ensure reliability, security, and compliance with best practices and regulations.

• Bachelor's or Master's Degree in Computer Science, Data Science, Engineering or a related field.
• Active Secret or higher level security clearance or the ability to obtain.
• Experience with major cloud platforms (AWS, Azure, Google Cloud), including AI/ML services.
• Understanding of distributed computing and microservices architecture.
• Proficiency in cloud infrastructure management and scaling practices.
• Experience with DevOps tools for CI/CD and infrastructure as code (IaC), such as Jenkins, Terraform, or Ansible.
• Experience with Kubernetes and Docker for container orchestration.
• Knowledge of security and compliance standards within cloud environments.
• Familiarity with monitoring tools (e.g., Prometheus, Grafana) to ensure optimal cloud performance.
• Strong problem-solving skills and ability to work collaboratively in a team environment.
• Certification in AWS, Azure, or Google Cloud desired.

Whether you’re in early-career or a senior expert, we welcome applications from individuals ready to advance AI capabilities for the defense sector. Apply today!