Infrastructure Automation Specialist
3 days ago
Mirado Consulting AB is a technology consulting firm that provides expert advice and support to businesses. We're seeking an experienced DevOps Engineer to join our team.
Job SummaryIn this role, you'll design, build, and maintain robust infrastructure solutions using servers, networks, and cloud platforms.
You'll collaborate with product and engineering teams to understand business needs and develop technical requirements. Your responsibilities will also include collaborating with development teams to optimize software build processes, implementing CI/CD pipelines, and improving release management.
Key Responsibilities- Design and deploy scalable infrastructure solutions using cloud platforms like AWS, Azure, or Google Cloud.
- Collaborate with product and engineering teams to understand business needs and develop technical requirements.
- Implement CI/CD pipelines and optimize software build processes to improve release management.
- Monitor system performance and identify areas for optimization, ensuring high availability, scalability, and security.
- Provide technical guidance and mentorship on DevOps to other engineers in the team.
- Proven experience as a DevOps Engineer or similar role, with expertise in infrastructure automation, configuration management, and CI/CD tools.
- Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, including infrastructure provisioning and management.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Proficiency in scripting languages such as Python, Shell, or PowerShell.
- Familiarity with monitoring and logging tools like Prometheus, ELK stack, or similar.
- Solid understanding of networking concepts, security best practices, and infrastructure-as-code principles.
- Excellent problem-solving and troubleshooting skills, with a proactive and collaborative approach to finding solutions.
- AWS, Azure, GCP
- Kubernetes, Docker, AWS ECS
- Terraform, CloudFormation, Helm
- Datadog, Grafana, Prometheus, ELK stack
- Splunk, Loki, Elasticsearch
- Jenkins, ArgoCD
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