Senior DevOps Engineer - (Remote - Europe)

As a Senior DevOps Engineer at Jobgether, your main responsibilities will include designing and implementing cloud infrastructure, maintaining CI/CD pipelines, troubleshooting production issues, mentoring junior staff, and documenting processes. Your contribution will ensure that systems run smoothly and efficiently, supporting both development and production environments.

To qualify for the Senior DevOps Engineer role at Jobgether, candidates should have at least 5 years of experience in a production environment, a solid understanding of Linux systems, familiarity with cloud services like AWS or GCP, and proficiency in container orchestration tools like Docker and Kubernetes. Knowledge of IaC and strong scripting skills are also essential.

To stand out for the Senior DevOps Engineer position at Jobgether, skills in Infrastructure-as-Code, particularly with Terraform, along with experience with monitoring and logging tools like Prometheus or Grafana will enhance your application. Additionally, strong shell scripting capabilities and a high-level programming language like Python or Go are valuable assets.

At Jobgether, a Senior DevOps Engineer can expect ample opportunities for professional development and career growth. With access to cutting-edge technology and a dynamic work environment, you'll be encouraged to expand your skills while collaborating with talented individuals in the industry.

Jobgether fosters a flexible remote work culture for Senior DevOps Engineers, promoting a healthy work-life balance. You’ll have the freedom to work from anywhere in Europe while being part of a collaborative team that values open communication and support.

When designing cloud infrastructure for CI/CD pipelines, I prioritize scalability, reliability, and automation. I assess the project requirements, choose appropriate services like AWS or GCP, and employ containers and orchestration tools such as Kubernetes to ensure smooth deployments.

In troubleshooting production issues, I rely on a systematic approach. I first gather logs and metrics from monitoring tools, identify patterns, and isolate the root cause. Collaborating with engineers helps to brainstorm solutions that minimize downtime effectively.

My experience with Infrastructure-as-Code centers around using tools like Terraform to automate infrastructure setup and management. This allows me to version control infrastructure requirements and ensure consistency across environments, which is essential for minimizing errors.

To ensure high availability in cloud environments, I implement redundancy through load balancing and distributed resource allocation. Regularly testing failover strategies and monitoring performance metrics also help to maintain uptime and performance.

I have extensive experience with tools like GitHub Actions for CI/CD pipeline development, having built and optimized workflows that automate testing and deployment. This results in quicker delivery and improved software quality through continuous integration.

Mentoring junior engineers involves providing hands-on guidance, sharing best practices, and encouraging them to take lead on smaller projects. I find that pair programming and code reviews promote learning and foster confidence in their skills.

In a cloud environment, I follow best practices such as implementing least privilege access controls, regular patch management, and using encryption for data. Training teams on security awareness is also crucial to mitigate risks.

I worked on a project that required migrating legacy applications to cloud infrastructure. I approached it by assessing dependencies, creating a detailed plan, and conducting phased migrations while ensuring minimal disruption to services.

I prioritize continuous learning by following industry blogs, participating in webinars, and attending meetups or conferences. Engaging with the DevOps community provides insights into emerging trends and best practices.

My preferred monitoring tools include Prometheus for time-series data collection and Grafana for visualizing metrics. These tools help me proactively monitor system health and diagnose issues before they impact users.