Junior Systems Engineer

Decisive Point Consulting• US,
•$50,000 - $60,000

About The Position

As a Systems Engineer on the team, you will streamline the software development life cycle from requirements through production monitoring. You will use open-source tools, automation, and cloud resources to reduce repetitive work and give teams more time to innovate. You will implement continuous integration and delivery to reduce manual testing and troubleshooting. The role offers an opportunity to broaden your skills in automation, cloud-based development, and open-source tools. Team members may be asked to provide support for pre-scheduled deployments outside standard hours; these deployments may not occur on a regular cadence.

Requirements

  • At least one year of experience with Linux systems engineering efforts in system design and evaluation, solution engineering, software development, or system administration.
  • At least one year of experience leveraging cloud service providers, specifically AWS, to create automated DevSecOps pipelines.
  • At least one year of experience administering at least one of the following container platforms: Docker, OpenShift, Kubernetes, or EKS.
  • At least one year of experience with advanced scripting languages, infrastructure as code, and custom scripts to automate capabilities, including use of Ansible, Python, Bash, and Terraform.
  • Experience with a complex build system.
  • Knowledge of Agile methodologies or the software development life cycle (SDLC).

Nice To Haves

  • Experience developing back-end software applications.
  • Experience configuring an OpenSearch cluster and managing index lifecycle.
  • Knowledge of security scanning tools, configuring their use, and working with teams to fix vulnerabilities.
  • Knowledge of Java.

Responsibilities

  • Streamline the software development life cycle from requirements through production monitoring.
  • Use open-source tools, automation, and cloud resources to reduce repetitive tasks.
  • Implement continuous integration and delivery to reduce manual testing and troubleshooting.
  • Provide after-hours support for pre-scheduled deployments when required.
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