AWS DevOps Engineer, MLOps

This is a fully remote position, open to applicants in New York.

📋 Description

• Design and uphold CI/CD pipelines that facilitate automated testing, deployment, and change management across CDP, data lake, marketing cloud, and migration workstreams.

• Provision and oversee AWS environments, including S3 buckets, Glue jobs, networking, IAM, and VPCs for development and staging in non-production settings.

• Ensure that environments are logically separated with no public internet access in accordance with SOW requirements.

• Implement and uphold infrastructure as code practices utilizing AWS CDK or Terraform.

• Manage the MLOps lifecycle on Amazon SageMaker, encompassing model versioning, deployment automation, endpoint monitoring, and automated retraining triggers.

• Assist with Amazon Bedrock integration deployments by overseeing prompt versioning, model configuration, and API endpoint reliability.

• Develop and maintain data lake security infrastructure using AWS Lake Formation, which includes row-level security, column-level encryption, and IAM permission boundaries.

• Aid in the execution of Azure-to-AWS migration, which involves provisioning target environments, managing AWS DataSync jobs, cutover procedures, freeze periods, and rollback plans.

• Monitor pipeline health, data job execution, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker with CloudWatch and AWS-native observability tools.

• Implement AWS cost optimization strategies and offer guidance on decommissioning Azure resources post-migration.

• Coordinate change management processes, including documenting changes, securing approvals, executing peer-reviewed deployments, and maintaining rollback procedures.

• Collaborate with Data/ML and Full Stack engineers on data pipelines, ML inference, and application layers.

• Contribute to operational runbooks, deployment guides, and infrastructure documentation.

⛳️ Requirements

• A minimum of 4 years of DevOps or cloud infrastructure experience, with at least 2 years specifically on AWS.

• Hands-on experience with CI/CD tools such as GitHub Actions, AWS CodePipeline, Jenkins, or similar within a multi-environment AWS setup.

• Proficient in infrastructure as code using AWS CDK, CloudFormation, or Terraform.

• Working knowledge of MLOps practices on Amazon SageMaker, including model deployment, endpoint management, monitoring, and pipeline automation.

• Experience with AWS IAM, Lake Formation, VPC, and best security practices for data environments.

• Familiarity with AWS monitoring and observability tools like CloudWatch, CloudTrail, and AWS Config.

• Experience in supporting data pipeline infrastructure including AWS Glue, Step Functions, Lambda, Kinesis, and S3.

• Strong understanding of environment management, change control processes, and rollback procedures in enterprise delivery contexts.

• Ability to collaborate in Agile/Scrum teams alongside AWS Professional Services with structured change approval workflows.

• Azure infrastructure and Azure-to-AWS migration experience is a plus.

• Familiarity with Amazon Bedrock deployment and API management is advantageous.

• Experience with Amazon Connect or omnichannel platform infrastructure is a plus.

• Knowledge of data compliance and privacy controls is a plus.

• AWS Certification such as DevOps Engineer Professional, Solutions Architect, or Machine Learning Specialty is desirable.

• Exposure to Kiro CLI or AI-assisted infrastructure tooling is a plus.

• Background in real estate, property management, or enterprise SaaS environments is a plus.

🏝️ Benefits

• Full-time contract employment.

• Equal opportunity employer dedicated to diversity and fostering an inclusive, safe environment.

• Culture of learning and professional growth.

• Emphasis on knowledge sharing and continuous learning.