You might be our missing piece if you have:

• Experience with AWS services such as ECS, Bedrock, S3, Batch, and GPU-powered instances, particularly in production environments.
• Familiarity with private networking setups in cloud environments.
• Exposure to CI/CD pipeline development using Azure Pipelines and Azure DevOps is a plus, helping to streamline application delivery.
• Familiarity with the Microsoft stack: repository management, pipelines, boards, and related DevOps tools.
• A strong understanding of cloud-native application deployment and infrastructure automation.
• At least 5 years of experience in a similar DevOps or Cloud Engineering role.
• Solid communication skills and a collaborative mindset that helps teams deliver reliable and scalable solutions.
• Passion for innovation, automation, and continuous learning in the DevOps/cloud space.

We would be thrilled if you have:

• Experience with AI observability or MLOps best practices.

We will be working together on:

• Designing, implementing, and maintaining CI/CD pipelines — primarily in AWS, with occasional use of Azure DevOps where needed.
• Deploying and managing services in AWS (ECS, S3, Batch, etc.) including the use of GPU-powered compute resources for specialized workloads.
• Managing secure, scalable cloud environments with a focus on private networking and infrastructure automation.
• Collaborating with development, QA, and data science teams to ensure reliable deployment and monitoring of applications.
• Integrating observability and performance tracking for AI and ML workloads, where applicable.