Cloud Engineer (Docker/Python/AWS) - FT Freelance - USA

Role Overview

We are seeking a skilled Cloud Engineer and AI Operations professional to join our team. This role involves leveraging cloud technologies to support and optimize AI operations, ensuring efficient deployment and management of AI solutions on cloud platforms.

Responsibilities

• Design, implement, and manage cloud-based infrastructure to support AI operations.
• Optimize cloud resources to enhance the performance and scalability of AI applications.
• Collaborate with cross-functional teams to integrate AI solutions into cloud environments.
• Monitor and maintain cloud systems to ensure high availability and reliability.
• Implement security best practices to safeguard cloud infrastructure and data.

Required Skills

• Proficiency in Python, JavaScript, node.js, and SQL.
• Experience designing and deploying cloud-native solutions using Terraform, Azure, and Kubernetes.
• Core competency in developing and operating software integrations, with bonus points for experience working with the Zendesk API.
• Knowledge of observability and monitoring tools (Grafana, Kibana) with ability to implement model performance tracking and data drift detection.
• Experience calling frontier model API's from OpenAI, Anthropic, Google Gemini, etc... is a plus
• Strong grounding in security, privacy, and compliance practices:
• Secrets & key management (Azure Key Vault, managed identities).
• Encryption of data at rest/in transit, RBAC/least privilege, private networking, and K8s network policies.
• Audit logging, retention policies, and compliance frameworks (SOC 2, GDPR, HIPAA).
• Security testing (SAST/DAST, dependency scanning, image signing, SBOM generation).

Nice to Have

• Experience with third party applications, such as Zendesk API or Gmail extensions.