Hybrid DevOps Engineer

at ITtude

• Job title: DevOps Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Ansible, Azure, Cloud, Grafana, Hadoop, HDFS, Jenkins, Kubernetes, Linux, Prometheus, Shell Scripting, Spark, Terraform
• Location requirements: Hybrid, Athens, Greece

About the role

• DevOps Engineer responsible for designing and optimizing high-performance infrastructure on Azure. Collaborating on AI projects and managing Kubernetes deployments while providing technical support and automation.

Responsibilities

• Design and manage cloud infrastructure—primarily on Microsoft Azure—ensuring high availability, performance, and scalability
• Build and maintain Kubernetes clusters and container-based deployments
• Automate infrastructure using Terraform, Ansible, and Infrastructure as Code (IaC) best practices
• Develop and manage robust CI/CD pipelines to streamline deployment, testing, and delivery processes
• Oversee monitoring, alerting, and logging systems (e.g., Prometheus, Grafana) to ensure proactive system health and reliability
• Provide 1st and 2nd level support for platform issues, incidents, and infrastructure troubleshooting
• Collaborate with customers and internal teams to deliver technical solutions, gather requirements, and support deployments
• Operate and support distributed data platforms, including Hadoop and related ecosystem components
• Maintain and secure Linux-based VMs, ensuring performance, patching, and compliance
• Use Git for version control, collaboration, and code lifecycle management

Requirements

• Strong experience with Azure and cloud-native architectures
• Solid understanding of Kubernetes and containerization technologies (4+ years)
• Proven expertise with Terraform, Ansible, and automation-driven practices
• Hands-on experience with CI/CD pipelines (e.g., GitLab CI, Jenkins)
• Familiarity with monitoring and alerting solutions such as Prometheus, Grafana, ELK, etc.
• Understanding of SRE principles, including SLIs, SLOs, incident response, and operational excellence
• Experience working directly with customers and providing technical support (1st/2nd level)
• Proficiency in Linux, virtual machines, and shell scripting
• Practical knowledge of Hadoop architecture and related tools (e.g., HDFS, Hive, Spark)
• Strong collaboration, communication, and troubleshooting skills

Benefits

• Flexible work arrangements