Systems Engineer, Production

Skills
Cloud ComputingMicrosoft AzureSoftware DevelopmentArtificial IntelligenceContainerizationEngineeringHTML
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Deep experience designing deploying and operating Azure infrastructure at scale
  • Strong expertise with Terraform and infrastructure automation
  • Solid understanding of Azure services
  • Familiarity with observability platforms such as Datadog Prometheus or Grafana
  • Proficiency in containerization with Docker and Kubernetes
  • Coding skills in Bash Python Ruby or Go
  • Excellent communication and documentation abilities
  • Keen interest in improving craft by using AI

Nice to have

  • Curious
  • Calm under pressure
  • Collaborative
  • Mentoring mindset
  • Detail-oriented

Day to day

  • Design, build, and maintain Azure infrastructure for production environments
  • Implement Infrastructure-as-Code with Terraform to improve reproducibility and compliance
  • Collaborate with developers to strengthen CI/CD pipelines deployment strategies and developer experience
  • Enhance observability reliability alerting monitoring and incident response across cloud services
  • Lead cloud optimization initiatives to improve performance cost efficiency and security posture
  • Mentor team members and partner with cross-functional teams to deliver scalable resilient compliant systems