Remote MLOps & AI Infrastructure Engineer

Mission US; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Mission US is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure for agentic AI platforms. You will own deployment automation, CI/CD, cloud security, and observability across Azure and AWS, partnering with engineering, data, product, security, and business teams.

You will implement reference architectures, governance controls, and lifecycle management for models, prompts, and agents, while enabling scalable, auditable, and cost-conscious

Qualifications

• Five or more years of cloud infrastructure, DevOps, MLOps, or AI platform engineering experience across AWS and Azure.
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Responsibilities

• Define production-readiness standards for AI platforms across Azure and AWS.
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• Design and operate secure, scalable AI infrastructure.
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• Implement governance controls, risk & compliance measures.

Skills

Cloud architecture

MLOps

CI/CD pipelines

IAM & security

Observability

Governance

Networking

Containerization

Leadership

Stakeholder communication

Education

Bachelor's degree in Computer Science, Engineering, or related

Tools

Terraform

Bicep

Azure DevOps

Bitbucket Pipelines

Job description

Mission US is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure for agentic AI platforms. You will own deployment automation, CI/CD, cloud security, and observability across Azure and AWS, partnering with engineering, data, product, security, and business teams.

You will implement reference architectures, governance controls, and lifecycle management for models, prompts, and agents, while enabling scalable, auditable, and cost-conscious