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Systems Engineer 3

Job in Germantown, Montgomery County, Maryland, 20875, USA
Listing for: Avid Technology Professionals, LLC
Full Time position
Listed on 2026-08-12
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability, IT Project Manager
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Part of a team that designs, implements, and maintains Dev Ops resources for multiple product teams and enables teams to automate build and deployment where possible. The ideal candidate is a self-starter who has a deep understanding of the needed technologies and the initiative to learn new skills. The System Engineer will be responsible for:

  • Developing Infrastructure As Code and scripting to automate tasks, provision managed services, and build tools. Popular programming languages for Dev Ops engineers include Terraform, Ansible, and Python.
  • Install, configure, and provide performance tuning utilizing:
    Kubernetes and cloud native logging and metrics collection tools (i.e. Elasticsearch, Grafana/Prometheus).
  • Managing Gitlab CI/CD pipelines to automate building, testing, and deploying code utilizing Git Lab runners and Argo CD.
  • Managing commercial cloud computing platforms (AWS).
  • Communication and collaboration:
    Dev Ops is a team-oriented discipline. Engineers need to be able to communicate and collaborate effectively with other team members, as well as with stakeholders.
Desired skills
  • Develop and manage Gitlab CI/CD pipelines to automate deployment processes
  • Design, build, and maintain AWS infrastructure including but not limited to EC2, Lambdas, EKS, RDS, S3, EFS, EBS, using Terraform and auto scaling.
  • Collaborate with development teams to optimize application performance and reliability.
  • Troubleshoot infrastructure issues and ensure system uptime.
  • Kubernetes experience with a focus on EKS.
  • Familiarity with FOSS tools such as Elasticsearch, Prometheus/Grafana, PGAdmin, etc. that can be installed in Kubernetes via helm chart.
  • Familiarity with various Kubernetes storage class types such as GP3. Longhorn, EBS, etc.
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