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MLOps Architect (AWS CDK Focus)

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Location:
United States , Atlanta

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

77.00 USD / Hour
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Job Description:

We are looking for a highly skilled MLOps Architect to design, implement, and oversee modern cloud-native data governance and machine learning operations (MLOps) frameworks with deep expertise in designing scalable, secure, and automated cloud-native data and ML platforms using AWS CDK. The successful candidate will be responsible for architecting & implementing robust data governance using AWS DataZone, and building MLOps pipelines leveraging services like SageMaker, Step Functions, and CodePipeline, all provisioned and maintained through CDK-based infrastructure-as-code. This role requires strong cloud-native architectural thinking, automation-first mindset, and hands-on experience with CDK in either Typescript or Python.

Job Responsibility:

  • Architect and deploy AWS DataZone for enterprise-wide data discovery, cataloging, and governance using AWS CDK
  • Design and build CI/CD-enabled MLOps pipelines to manage the end-to-end ML lifecycle: data prep, training, model deployment, monitoring, and retraining
  • Use AWS CDK to manage infrastructure-as-code across data and ML workflows (e.g., SageMaker, Lambda, S3, Glue, DataZone, Step Functions)
  • Integrate DataZone with Lake Formation, Glue Data Catalog, and Redshift for centralized governance and access control
  • Define policies and automation for data access requests, lineage, and classification using DataZone and IAM roles
  • Ensure security, compliance, and auditability across all components using least-privilege principles and automation
  • Collaborate with Data Engineers, MLOps Engineers, Data Scientists, and Security teams to design end-to-end solutions
  • Drive adoption of reusable CDK constructs/modules for consistent deployment and governance of data and ML services

Requirements:

  • 7+ years in cloud architecture, DevOps, or data engineering roles
  • Overall 10-12+ years of exp reqd
  • Strong hands-on experience with AWS CDK in Typescript or Python (required)
  • Deep knowledge of AWS DataZone, SageMaker, Glue, Lake Formation, IAM, Step Functions, CodePipeline, and CloudWatch
  • Experience architecting MLOps pipelines and automating deployments in AWS
  • Proficient in containerization using Docker, ECS, or EKS
  • Working knowledge of data governance, metadata management, and data security/compliance frameworks (e.g., HIPAA, GDPR)
  • Strong programming skills in Python and scripting tools for automation
  • Understanding of data privacy, compliance, and enterprise governance frameworks
  • Excellent communication and stakeholder management skills
  • High Consulting skills reqd that takes key stakeholders in confidence and provide them day to day solutions on overall solution that includes Data Zone, MLOps and CDK
  • Model Monitoring and Evaluation: Experience with model performance monitoring, drift detection, and explainability

Nice to have:

  • AWS Certifications (Solutions Architect Professional, DevOps Engineer, or Machine Learning Specialty)
  • Experience deploying enterprise-scale data platforms using CDK and reusable infrastructure modules
  • Familiarity with observability/monitoring tools for ML and data pipelines
  • Knowledge domain-driven data architecture
  • Previous experience with versioned deployment strategies (Blue/Green, Canary) for ML models
  • Exposure to data observability tools and model monitoring frameworks
  • Communication and Collaboration: Ability to communicate effectively with diverse teams
  • Problem-Solving: Strong analytical and problem-solving skills
  • Leadership: Ability to lead and guide technical teams

Additional Information:

Job Posted:
December 11, 2025

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