Linux Site Reliability Engineer (REF3649Z)

As a Linux Site Reliability Engineer at Deutsche Telekom IT Solutions, your primary responsibilities will include managing and optimizing Linux servers, ensuring smooth deployment for new customers, developing infrastructure automation, and leading incident management efforts to resolve production issues efficiently. You will also collaborate with development teams to integrate reliability practices throughout the development lifecycle.

To qualify for the Linux Site Reliability Engineer position at Deutsche Telekom IT Solutions, you should possess extensive experience with Linux distributions (like RHEL, CentOS, or Ubuntu), scripting proficiency in Bash or Python, familiarity with cloud platforms such as AWS or Azure, and experience with infrastructure as code tools like Terraform or Ansible. Strong communication skills and at least intermediate English are also essential.

A Linux Site Reliability Engineer at Deutsche Telekom IT Solutions should be familiar with various tools and technologies such as Ansible, Terraform, Docker, and Kubernetes. Knowledge of networking protocols, web servers like Apache or NGINX, and monitoring tools such as Prometheus or Grafana is also important.

At Deutsche Telekom IT Solutions, Linux Site Reliability Engineers can expect a collaborative and innovative work environment with multiple opportunities for professional growth. Working across various locations like Budapest, Debrecen, Pécs, and Szeged, you will be part of diverse teams passionate about technology and continuously improving IT services.

While Deutsche Telekom IT Solutions offers flexible work arrangements, remote working opportunities for the Linux Site Reliability Engineer role are available only within Hungary due to European taxation regulations. This enables you to enjoy a balanced work-life experience while contributing to a leading ICT employer.

When managing incidents, I prioritize quick resolution by conducting thorough investigations to identify root causes. Following an incident, I lead post-mortem discussions to analyze what went wrong and implement preventative measures, ensuring system reliability and minimizing recurrence.

I have significant experience using Ansible to automate system configurations and deployments. With Terraform, I create and manage infrastructure as code, which enhances reproducibility and streamlines the infrastructure management process across various projects.

To optimize system performance, I analyze resource utilization metrics and identify bottlenecks using monitoring tools. I then implement configuration adjustments and scaling solutions, such as load balancing or resource provisioning, to ensure high availability and responsiveness.

I ensure security in my Linux environments by implementing best practices such as access control, regular patch management, and system hardening. I also perform regular audits and maintain updated security documentation to safeguard the infrastructure.

I have hands-on experience with Docker for containerization, enabling lightweight application deployment and orchestration. This experience includes creating Docker images, managing container lifecycles, and collaborating on orchestration platforms such as Kubernetes.

I believe in maintaining open lines of communication with development teams. I engage with them early in the development process to integrate SRE practices into CI/CD pipelines, aligning systems operations with development goals and fostering a collaborative culture.

I primarily use Bash and Python for automation tasks. These scripting languages have allowed me to streamline workflows, reduce manual configurations, and enhance deployment efficiency, ultimately saving time and minimizing errors.

To stay current with industry trends, I regularly participate in online courses, attend webinars, and engage with professional communities on platforms like GitHub and Stack Overflow, which allows me to learn from peers and stay updated on new tools and best practices.

In my previous role, I identified a manual deployment process that was prone to errors. I proposed and led a project to automate this process using Ansible, resulting in a 50% reduction in deployment time and significantly fewer issues in production.

I have worked extensively with AWS, utilizing various services such as EC2 for compute, S3 for storage, and RDS for database management. This experience has enabled me to design scalable, resilient architectures that meet business needs and leverage cloud capabilities effectively.