DevOps Engineer

DT-IT is currently having multiple open positions for non junior DevOps Engineers, thus the exact job description is not specifically described here.
Some business areas where we are searching for are the following:
- Fiber optic infrastructure
- Cloud Services & Products
- BI platform element and data provisioning
- Voice Application Service Platform
- Integrated CRM systems for mobile customers
- IT infrastructure and infrastructure services
- Geodata services and applications
- Network Transformation & Optimization

Requirements

As a DevOps Engineer with a strong emphasis on operations and an agile mindset, well-versed in frameworks like Scrum or Kanban, you:

- have tangible experience in a DevOps environment with a distinct focus on operations.
possess deep insight into the SDLC, especially the intersection of DevOps and operational activities.
- have built and maintained intricate CI/CD pipelines tailored for stability, reliability, and performance.
- have mastery over tools such as GitLab, GitHub Automation, Jenkins or their equivalents, primarily for automating operational tasks and software delivery.
- seamlessly integrate tasks from SDLC domains (DEV, QA, SEC, OPS) with a keen emphasis on the OPS domain to ensure streamlined delivery.
- are consistently on the lookout for cutting-edge operational technologies and methodologies.
- are adept at scripting (Python, BASH, JS/TS, Ruby, PHP, Groovy) to automate and enhance operational tasks.
- possess a comprehensive understanding of advanced OPS duties, tasks, and challenges, always striving for operational excellence.
- proficiently provision, scale, and maintain infrastructure using IaC and CaC tools (Terraform, Pulumi, AWS CDK, AWS CF, Ansible, Puppet, etc.).
- prioritize observability, real-time monitoring, and instant feedback for all operational aspects, ensuring the highest uptime and quick issue resolution.
- have a hands-on approach to monitoring the SDLC, operational workloads, and the solutions deployed.
- are well-acquainted with DORA metrics and, ideally, other key operational performance metrics.
- have an exhaustive understanding, potentially hands-on, of cloud hyperscalers (GCP, AWS, Azure, Oracle) and their operational tools and services.
- emphasize rigorous security measures, backup solutions, disaster recovery plans, and overall resiliency for all deployed applications.
- have significant experience with container and orchestration technologies, like Docker and K8S, optimized for smooth operational management.