AWS Systems Engineer

Title: AWS Systems Engineer (DataZone SageMaker Bedrock Lex Texextract Observability)

Client: Department of Human Services - MDThink

DK Consulting Overview: Founded in May 2003 DK Consulting LLC a woman-owned small business was formed to provide management and technology solutions based on industry best practices. DK Consulting LLC works with multiple State Federal and Commercial customers and our services range from providing customers with that one critical resource to assuming responsibility for an entire IT project. We offer excellent benefits and provide exceptional employee management.

Interview mode: In-person

Location: 849 International Dr. Linthicum MD 21090. Some teleworking may be permitted based on assignment and team needs.

Position Description: The Senior Systems Engineer must be able to analyze information requirements evaluate problems in workflow organization and planning. The individual in this role develops appropriate corrective action and provides daily supervision and direction to staff.

1. Design implement and manage scalable AWS infrastructure using services such as EC2 S3 VPC Lambda IAM CloudFormation and Step Functions.
2. Lead the configuration and governance of AWS DataZone for secure data cataloging and sharing.
3. Build and manage environments to support ML model training deployment and inference using Amazon SageMaker and Bedrock.
4. Deploy and integrate Bedrock foundation models and SageMaker pipelines to support data science and AI teams.
5. Configure and support Lex chatbots and Textract for intelligent document processing solutions.
6. Collaborate with data scientists and ML engineers to provision and optimize model-serving infrastructure.
7. Implement robust monitoring and observability across AWS services using tools such as CloudWatch OpenTelemetry X-Ray AWS Health Dashboard and third-party tools (e.g. Datadog Grafana).
8. Set up logging tracing alerting and dashboards to improve reliability and performance of cloud workloads.
9. Automate provisioning and deployment using Terraform CloudFormation or CDK.
10. Build and maintain CI/CD pipelines for infrastructure and ML workflows (CodePipeline CodeBuild GitHub Actions).
11. Apply DevSecOps best practices to ensure security compliance and cost optimization.
12. Ensure encryption audit logging and compliance across all deployed services.
13. Participate in security reviews architecture assessments and governance initiatives.

Education: This position requires a Bachelors degree from an accredited college or university with a major in computer science information systems engineering business or other related scientific or technical discipline. (Note: A Masters degree is preferred.)

General Experience: The proposed candidate must have at least six (6) years of experience in systems engineering.

• 6 years of experience in cloud systems engineering DevOps or infrastructure roles.
• 5 years of hands-on experience with AWS cloud services including EC2 IAM Lambda S3 and VPC.
• Strong hands-on experience with at least two or more of the following:
  • Amazon SageMaker
  • Amazon Glue
  • Amazon Athena
  • AWS Bedrock
  • Amazon Lex
  • Amazon Textract
  • AWS DataZone
• Deep understanding of IaC tools such as Terraform AWS CDK or CloudFormation.
• Expertise in observability (monitoring logging tracing) using CloudWatch and third-party tools.
• Strong scripting skills (Spark Iceberg Python SQL).

Specialized Experience: The proposed candidate must have at least three (3) years of experience in the supervision of system engineers and demonstrated use of interactive interpretative systems with on-line real-time acquisition capabilities.

• Key qualifications include strong project management skills leadership abilities effective communication and the capacity to identify and resolve issues while adapting to changing circumstances. Significant experience collaborating with cross-functional teams product owners and stakeholders is essential
• Preferred qualifications include a technical background and experience in data and AI/ML projects. Functional experience with local or government projects in Data Services (MDM/R360/EDMS) Child Support Integrated Eligibility Child Welfare Adult Protective Services Juvenile Justice or Health and Human Services is also preferred

*No Visa restrictions*