Company Description PACE AI is a growth technology company focused on building practical, high-impact artificial intelligence solutions for real-world problems. The organization combines software engineering, data science, and cloud technologies to deliver scalable, secure products for its clients and partners. Team members collaborate across disciplines to design systems that are reliable, efficient, and easy to maintain. PACE AI values innovation, continuous learning, and a culture of transparency and inclusion, offering opportunities to work with modern tools and architectures. The company encourages ownership of work, creative problem-solving, and the ability to influence technical direction.

Role Description The Cloud Engineer will design, build, and maintain cloud-based infrastructure to support PACE AI’s products and internal systems. This is a full-time, on-site role located in Washington, DC. Day-to-day responsibilities include provisioning and configuring cloud resources, implementing infrastructure as code, and monitoring system performance and reliability. The Cloud Engineer will collaborate with software developers and data teams to deploy applications, optimize environments, and ensure security, scalability, and cost efficiency. The role also involves troubleshooting production issues, automating operational tasks, improving CI/CD pipelines, and contributing to architecture and best practices documentation.

Qualifications

Strong Software Development skills, with experience in at least one programming or scripting language (e.g., Python, Go, Java, or similar) for automation and tooling.
Hands-on experience with Infrastructure design and management, including infrastructure as code (e.g., Terraform, CloudFormation) and configuration management tools.
Proficiency in Cloud Computing platforms (such as AWS, Azure, or GCP), including core services for compute, storage, networking, and security.
Practical Linux skills, including system administration, shell scripting, and troubleshooting in production environments.
Working knowledge of Databases (relational and/or NoSQL), including performance tuning, backups, and integration with cloud-native services.
Understanding of networking fundamentals, security best practices, and identity and access management in cloud environments.
Experience with CI/CD pipelines, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes) is highly beneficial.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to collaborate effectively with cross-functional teams, manage priorities, and communicate technical concepts clearly.

PACE AI

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