Senior Advanced DevOps Engineer

As a Senior Advanced DevOps Engineer at Susquehanna International Group, your primary responsibilities include designing and managing CI/CD pipelines, automating processes to enhance efficiency, administering multiple environments, and configuring cloud services. You'll troubleshoot issues during testing and support production launches while creating automation for version control and backup operations.

To qualify for the Senior Advanced DevOps Engineer role at Susquehanna International Group, candidates need two years of professional AI experience, familiarity with GIT-based code repositories, and experience with cloud services like Azure and AWS. A strong understanding of containerization technologies, proficiency in scripting languages like Shell and Python, and experience with monitoring systems are also essential.

In the Senior Advanced DevOps Engineer role at Susquehanna International Group, you'll significantly contribute to the team by enhancing system efficiency and stability. Your efforts in designing optimization systems will not only affect immediate team performance but also the company-wide operations, ultimately fostering a culture of innovation across departments.

A Senior Advanced DevOps Engineer at Susquehanna International Group should be well-versed in cloud services (such as Azure, AWS, and GCP), containerization tools (like Docker and Kubernetes), and monitoring systems (including Nagios, Prometheus, and the ELK stack). Additionally, proficiency in scripting languages such as Shell and Python is crucial for automating various operations.

At Susquehanna International Group, Senior Advanced DevOps Engineers can expect a dynamic and collaborative work environment. The culture emphasizes teamwork, innovation, and continuous learning, allowing professionals to engage with talented colleagues and contribute to meaningful projects that drive data processing performance.

When answering this question, focus on specific examples where you've designed CI/CD solutions that improved deployment efficiency. Highlight any challenges you faced and how you overcame them, emphasizing your technical skills in the relevant tools and technologies.

In response, detail the specific tools and methodologies you've used for automation. Discuss your approach to identifying bottlenecks in processes and how your automated solutions increased efficiency and reduced errors.

Share your systematic approach to troubleshooting, including the tools you use and steps you take to diagnose and resolve issues. Your answer should convey your problem-solving skills and ability to remain calm under pressure.

Speak to your hands-on experience with services such as AWS, Azure, or GCP. Provide examples of specific projects where you utilized these services and the impact they had on project outcomes.

Discuss your experience with monitoring tools like Nagios, Prometheus, or the ELK stack. Provide insights into the metrics you track and how you use this data to maintain optimal system health.

Explain your experience with containerization technologies like Docker and Kubernetes. Talk about how you've implemented these tools to streamline deployments and enhance application isolation.

Emphasize your commitment to continuous learning through resources like online courses, community forums, webinars, and professional networks. Share any recent trends that have influenced your work.

Illustrate a specific project where collaboration was key. Talk about the communication strategies you employed and the outcomes that benefited from the collaboration between DevOps and development teams.

Mention the scripting languages you are comfortable with, such as Shell or Python, and provide examples of automations or processes you've implemented using those scripts in your DevOps workflows.

Share your perspective on the evolving challenges in DevOps, such as managing hybrid environments or the need for continuous security practices. Explain how you approach these challenges in your work.