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# Systems Engineer 3

- **Company:** Avid Technology Professionals, LLC
- **Location:** Annapolis Junction, MD, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Performance Management, Computing Platforms, Systems Engineering, Build Automation, DevOps, Elasticsearch, Python (Programming Language), PostgreSQL, Octopus Deploy, Performance Tuning, Ansible, Prometheus, Software Deployment, Data Logging, Autoscaling, Grafana, AWS Lambda, Gitlab, Gitlab-ci, Kubernetes, Deployment Automation, Build Tools, Terraform, Programming Languages
- **Published:** August 8, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9083796/systems-engineer-3

## About the Role

Part of a team that designs, implements, and maintains DevOps 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 DevOps 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 GitLab runners and Argo CD.

Managing commercial cloud computing platforms (AWS).

Communication and collaboration: DevOps 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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