MLOps Architect (AWS CDK Focus) Jobs

Realign

Location:
United States, Atlanta

Category:
IT - Software Development

Contract Type:
Not provided

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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MLOps Architect (AWS CDK Focus)