AWS Systems Engineer (DataZone, SageMaker, Bedrock, Lex, Texextract, Observability) :: Linthicum, Maryland (Onsite, Need Only Locals with DL Copy)

Overview

On Site
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term

Skills

Corrective And Preventive Action
Step-Functions
Management
Training
Data Science
Document Processing
Collaboration
ProVision
Grafana
Dashboard
Provisioning
Continuous Integration
Continuous Delivery
Workflow
GitHub
DevSecOps
Optimization
Encryption
Auditing
Regulatory Compliance
Computer Science
Information Systems
Systems Engineering
DevOps
Cloud Computing
Amazon EC2
Amazon S3
Virtual Private Cloud
Amazon SageMaker
Terraform
Amazon Web Services
Scripting
Apache Spark
Python
SQL
Supervision
Real-time
Acquisition
Project Management
Leadership
Effective Communication
Artificial Intelligence
Machine Learning (ML)
Mobile Device Management
Master Data Management
Document Management
LinkedIn
Oracle UCM

Job Details

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

Location Linthicum, Maryland (Onsite, Need Only Locals with DL Copy)

Duration Long Term

Face to Face Interview

Job 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.

  • Design, implement, and manage scalable AWS infrastructure using services such as EC2, S3, VPC, Lambda, IAM, CloudFormation, and Step Functions.
  • Lead the configuration and governance of AWS DataZone for secure data cataloging and sharing.
  • Build and manage environments to support ML model training, deployment, and inference using Amazon SageMaker and Bedrock.
  • Deploy and integrate Bedrock foundation models and SageMaker pipelines to support data science and AI teams.
  • Configure and support Lex chatbots and Textract for intelligent document processing solutions.
  • Collaborate with data scientists and ML engineers to provision and optimize model-serving infrastructure.
  • 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).
  • Set up logging, tracing, alerting, and dashboards to improve reliability and performance of cloud workloads.
  • Automate provisioning and deployment using Terraform, CloudFormation, or CDK.
  • Build and maintain CI/CD pipelines for infrastructure and ML workflows (CodePipeline, CodeBuild, GitHub Actions).
  • Apply DevSecOps best practices to ensure security, compliance, and cost optimization.
  • Ensure encryption, audit logging, and compliance across all deployed services.
  • Participate in security reviews, architecture assessments, and governance initiatives.

Education: This position requires a Bachelor's 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 Master's 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

Thanks & Regards

Akshit Sisonia - Sr. Technical Recruiter

Email - LinkedIn -

STELLENT IT A Nationally Recognized Minority Certified Enterprise

"Happiness can be found, even in the darkest of times, if one only remembers to turn on the light."
- JK Rowling

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.