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Systems Engineer

Job in Fort Meade, Anne Arundel County, Maryland, USA
Listing for: Benz Technology Inc
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AWS, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Active TS/SCI security clearance required. Benz Technology is unable to sponsor clearances. U.S. citizenship required.

About the Role

We are looking for an experienced Systems Engineer to architect, deploy, and maintain robust cloud environments, primarily within AWS. This role also supports existing on-premise server infrastructure, bridging the gap between legacy systems and modern cloud solutions. You will play a key role in ensuring the reliability, scalability, and security of critical infrastructure.

Responsibilities
  • Design and architect scalable, secure cloud environments in AWS
  • Deploy and configure cloud infrastructure resources including compute, storage, and networking
  • Maintain and support on-premise server infrastructure alongside cloud systems
  • Monitor system health, performance, and availability across hybrid environments
  • Identify and resolve infrastructure issues, applying root cause analysis
  • Implement and enforce security best practices and compliance standards across environments
  • Collaborate with engineering teams to support application deployments and integrations
Required Qualifications
  • Hands-on experience architecting and deploying solutions in AWS
  • Proficiency with core AWS services (EC2, S3, VPC, IAM, RDS, etc.)
  • Experience administering on-premise server infrastructure (Windows and/or Linux)
  • Strong understanding of networking concepts (DNS, TCP/IP, firewalls, load balancing)
  • Experience with infrastructure-as-code tools such as Terraform or Cloud Formation
Desired Qualifications
  • AWS certification (Solutions Architect, Sys Ops, or equivalent)
  • Experience with containerization technologies such as Docker or Kubernetes
  • Familiarity with CI/CD pipelines and Dev Ops practices
  • Experience with monitoring and observability tools (Cloud Watch, Datadog, Grafana, etc.)
  • Scripting proficiency in Python, Bash, or Power Shell
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