Cloud Platform Engineer

As a Cloud Platform Engineer at Formula.Monks, you will be responsible for designing, building, and operating Kafka clusters that meet the pub/sub requirements for applications. Your role will involve collaborating with application teams to ensure seamless integration of services, optimizing messaging platform performance, and contributing to Kubernetes and cloud environment management. You will also utilize observability tools to track system performance and reliability.

To qualify for the Cloud Platform Engineer position at Formula.Monks, you should have at least 4 years of related work experience, particularly in cloud platform engineering. Expertise in managing Kafka clusters and solid programming skills in languages like Python, C++, Java, or Node.js are essential. Familiarity with cloud platforms such as AWS, Kubernetes, and messaging optimization strategies will also be important.

For the position of Cloud Platform Engineer at Formula.Monks, proficiency in programming languages such as Python, C++, Java, or Node.js is required. You will apply your programming skills to optimize cloud solutions and improve application performance, so a strong foundation in at least one of these languages is vital.

Formula.Monks is committed to fostering an inclusive environment that celebrates diversity. We proactively design our hiring processes to promote equity and inclusion, ensuring that all candidates, regardless of race, gender, or background, have a fair opportunity. We encourage diverse perspectives and welcome applicants who reflect the communities we serve.

Yes, experience with containerized environments, particularly with Kubernetes, is necessary for the Cloud Platform Engineer role at Formula.Monks. This experience is crucial for managing cloud resources effectively and ensuring the performance and reliability of services within the cloud ecosystem.

When answering this question, highlight specific projects where you’ve designed or managed Kafka clusters. Explain your understanding of publish/subscribe architecture, how you've optimized performance, and any challenges you overcame while ensuring scalability and reliability.

When discussing your troubleshooting methods, mention your ability to leverage monitoring and observability tools. Discuss the importance of a data-driven approach, and provide examples of how you've used metrics to identify and resolve operational challenges.

Emphasize your communication skills and your experience working cross-functionally. Provide examples of how you’ve gathered requirements from application teams and translated those into deliverable services, ensuring that user needs are aligned with infrastructure capabilities.

Outline your hands-on experience with Kubernetes, including any specific projects where you managed containers at scale. Discuss your understanding of orchestration principles and how you’ve leveraged Kubernetes for deploying and scaling cloud-native applications.

When answering this question, share concrete examples of cloud services you’ve optimized. Explain the steps you took, the metrics you monitored, and the overall impact of your optimizations on performance and cost-efficiency.

Discuss your commitment to continuous learning and professional development. This can include attending workshops, taking online courses, participating in webinars, or following industry blogs and publications. Highlight any recent technologies you’ve learned and how you’ve applied that knowledge.

Share your proficiency in programming languages relevant to the role, such as Python or C++. Explain why you prefer certain languages for specific tasks and how your coding skills have improved your cloud engineering solutions.

Discuss the tools and methodologies you utilize for performance monitoring, such as logging, metrics gathering, and analyzing application performance. Highlight your experience with observability tools and how you use data to drive performance improvements.

If you have experience with GCP or Azure, share it while emphasizing your expertise in AWS as well. Discuss specific projects you've completed with these platforms, showcasing your versatile cloud engineering capabilities across different environments.

When discussing your approach to this situation, emphasize your organizational skills, prioritization, and ability to work efficiently under pressure. Share examples of how you've met deadlines in previous projects, ensured quality, and maintained team morale.