Sustaining Engineer (Golang / Kubernetes)

As a Sustaining Engineer at Mirantis, your primary responsibilities include becoming an expert in Mirantis Cloud Native Platform technologies, diagnosing and resolving complex issues across the Docker and Kubernetes ecosystems, and developing features as well as patch improvements in Golang. You will also engage in creating best-in-class help content and perform audits for our knowledge management system while collaborating cross-functionally with product and solution experts.

To apply for the Sustaining Engineer role at Mirantis, you should have a BS degree in Computer Science or Software Engineering, along with at least 4 years of experience in Software Development, Technical Support, or Sustaining Engineering. Proficiency in Golang, Kubernetes, Docker, and experience in designing REST APIs is essential, along with familiarity in working with various Linux distributions.

Mirantis is an excellent place for Sustaining Engineers because it offers a fast-paced, innovative environment where you’ll work with world-class teams on transformative AI/ML developer tools. Our commitment to open-source principles and community engagement means your contributions will have a real impact, and you will have opportunities for flexible work arrangements, providing a work-life balance that’s often sought after.

At Mirantis, we support the growth of our Sustaining Engineers through continuous learning and collaboration. You will have access to extensive resources, mentorship from experienced team members, and the chance to engage with product engineering teams directly. We also encourage participation in advanced technical discussions and post-mortems, allowing for personal and professional development.

Key tools and technologies for a Sustaining Engineer at Mirantis include Golang, Docker, Kubernetes, and various Linux distributions such as RHEL, CentOS, Ubuntu, and SLES. Familiarity with advanced troubleshooting techniques, as well as the ability to design and implement REST APIs, are also essential to success in this role.

When discussing your experience with Golang and Kubernetes, it’s essential to highlight specific projects where you utilized Golang to build applications or features for Kubernetes environments. Focus on the challenges you faced and how you overcame them, demonstrating your problem-solving abilities and technical skills.

In troubleshooting Kubernetes issues, I usually begin by gathering logs and metrics from Kubernetes components and the application itself. I assess the health of the nodes and Pods, checking configurations and resource allocations. It’s critical to communicate effectively while debugging, ensuring stakeholders are kept in the loop throughout the troubleshooting process.

When documenting help content, I prioritize clarity and conciseness, ensuring that complex ideas are broken down into understandable sections. I also emphasize adding practical examples and relevant diagrams to facilitate comprehension. Collaborating with cross-functional teams can aid in gathering insights and ensuring accuracy.

To stay updated, I regularly follow industry blogs, listen to podcasts, and participate in online forums focused on Docker and Kubernetes. Attending webinars, conferences, and local meetups also offers valuable insights into the evolving landscape and emerging best practices.

When faced with a complex Linux issue, I once encountered a situation where a specific service was failing to start due to conflicts in system dependencies. By carefully analyzing the logs and isolating the conflict, I was able to address the dependency issue and rectify configurations, ultimately restoring service availability without downtime.

Customer feedback is invaluable in my work as it guides improvements and adjustments. I actively solicit feedback from users and incorporate it into enhancements or troubleshooting processes. Understanding their pain points ensures that the solutions we provide directly address their needs, consequently boosting satisfaction.

I prioritize support tickets based on their urgency and impact on customer operations. After assessing the business implications of each issue, I categorize them accordingly. Clear communication with customers about expected resolution times is crucial in ensuring they feel supported during the process.

Working with distributed systems often presents challenges such as latency and consistency issues. I address these by implementing robust monitoring, ensuring distributed transactions are managed effectively, and developing clear fallback mechanisms in case of failures.

To maintain code quality, I adhere to best practices in coding standards, conduct thorough code reviews, and write unit tests. Additionally, incorporating continuous integration practices helps catch issues early in the development process, ensuring only high-quality code progresses.

When designing REST APIs, I consider factors such as clarity of endpoints, consistency in naming conventions, and proper use of HTTP methods. Additionally, I prioritize security and efficiency, ensuring that the API can handle load while providing useful error messages when things go wrong.