Software Engineer - Grafana k6 Cloud Data (Remote, EST/Canada)

As a Software Engineer at Grafana, specifically within the k6 Cloud Data team, your responsibilities will include developing and architecting large-scale distributed systems and storage solutions, participating in design reviews, improving application reliability, and collaborating on cross-functional features for our cloud product. You'll also be involved in reviewing code from your peers and contributing to educational content.

To qualify for the Software Engineer position at Grafana, you should have good proficiency in DevOps practices, ideally with experience in Docker and Kubernetes. Familiarity with Python is essential, while knowledge of Go is considered a plus. Effective technical communication skills and enthusiasm for large-scale distributed systems are also important. Ideally, you should have experience in performance test automation or modern software engineering practices.

Yes, the Software Engineer position at Grafana is fully remote and open to candidates located in the Americas, specifically within EST time zones. This flexibility allows you to work from anywhere in Canada, offering a great work-life balance while engaging with a global team.

At Grafana, you will have the opportunity to pair with seasoned mentors to help develop your skills as a Software Engineer. This mentorship will provide guidance and support as you navigate your responsibilities and grow in your role, building a strong foundation in performance testing and large-scale distributed systems.

Working at Grafana comes with a competitive salary and a range of benefits, including equity options and performance bonuses. You will also have access to a supportive and inclusive work environment that fosters growth and development, alongside opportunities to engage in innovative projects and collaborate with industry experts.

In answering this question, focus on specific projects where you worked with distributed systems. Discuss the technologies you used, the challenges you faced, and how you overcame them to improve system performance and reliability.

Discuss practices like code reviews, unit testing, and following coding standards. Emphasize the importance of peer feedback and collaborative practices to maintain high code quality and prevent bugs before deployment.

When answering this question, list the DevOps tools you're familiar with, such as Docker, Kubernetes, or CI/CD pipelines. Provide examples of how you've used these tools to automate processes or improve project efficiency.

Highlight any projects or tools you've used for performance testing, explaining the methodologies you applied. Make sure to connect how your experience aligns with Grafana's objectives in performance testing.

Describe your systematic approach to identifying and resolving issues. Discuss specific tools or techniques you’ve used for monitoring and logging that helped you diagnose and fix problems.

Show your knowledge about Grafana’s range of products, especially k6. Talk about the role of Grafana in observability tools and how performance testing plays into that ecosystem.

Use this question to showcase your adaptability and learning skills. Talk about how you researched, tested, and integrated a new technology into a project and what the outcomes were.

Discuss a particular scenario and emphasize your communication skills. Outline how you approached the discussion, listened to understand different perspectives, and worked together to find a solution.

Share your passion for coding, problem-solving, and continuous learning. Connect your motivation to the work Grafana does, particularly in enhancing performance testing and developer experience.

Be honest about your experiences with on-call duties. Explain how you handle stress and prioritize tasks during incidents, emphasizing your commitment to maintaining system availability and reliability.