Senior AWS Cloud & ML Systems Engineer

We're Hiring: AWS Systems Engineer (Data Zone, SageMaker, Bedrock, Lex, Textract, Observability)

Client: Department of Human Services MD Think
Location: Linthicum, Maryland (Virtual & End Person)

About the Role:
We are seeking a skilled Senior AWS Systems Engineer to design, implement, and manage scalable AWS infrastructure, support AI/ML initiatives, and lead the configuration of advanced cloud services. This role requires hands-on experience with AWS services, DevOps practices, and strong leadership in guiding system engineering teams.

Key Responsibilities:

• Design, implement, and manage AWS infrastructure (EC2, S3, VPC, Lambda, IAM, CloudFormation, Step Functions).
• Lead configuration and governance of AWS Data Zone for secure data cataloging and sharing.
• Build and manage environments for ML model training, deployment, and inference (SageMaker, Bedrock).
• Deploy and integrate Bedrock foundation models and SageMaker pipelines to support AI/ML teams.
• Configure and support Lex chatbots and Textract for intelligent document processing.
• Collaborate with data scientists and ML engineers to optimize model-serving infrastructure.
• Implement monitoring, logging, alerting, and dashboards using CloudWatch, X-Ray, OpenTelemetry, and third-party tools (Datadog, Grafana).
• Automate provisioning using Terraform, CloudFormation, or CDK.
• Build and maintain CI/CD pipelines for infrastructure and ML workflows.
• Apply DevSecOps best practices ensuring security, compliance, and cost optimization.
• Participate in security reviews, architecture assessments, and governance initiatives.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Engineering, or related field (Master s preferred).
• 6+ years of experience in systems engineering, cloud infrastructure, or DevOps.
• 5+ years of hands-on AWS experience (EC2, IAM, Lambda, S3, VPC).
• Expertise in at least two of the following: SageMaker, Glue, Athena, Bedrock, Lex, Textract, AWS Data Zone.
• Strong IaC skills (Terraform, CDK, CloudFormation).
• Experience with observability tools (CloudWatch, Datadog, Grafana).
• Strong scripting skills (Python, SQL, Spark, Iceberg).
• 3+ years supervising system engineers and managing projects.
• Excellent communication, leadership, and problem-solving skills.
• Preferred: Experience in AI/ML projects and government data services (MDM/R360/EDMS, Child Support, Health & Human Services).

Why Join Us:

• Opportunity to work on cutting-edge AWS cloud services and AI/ML infrastructure.
• Collaborate with a talented, cross-functional team supporting public sector initiatives.
• Hybrid work environment with flexibility.

Apply Today if you are a passionate AWS Systems Engineer ready to make an impact!

Best Regards,

Hari Daile

Senior US IT Recruiter