Platform Engineer

The Platform Engineer at Moonvalley plays a vital role in designing, maintaining, and optimizing the infrastructure that supports our groundbreaking generative AI models. You will be responsible for building scalable, secure systems while managing cloud-based environments, particularly AWS. Additionally, you'll automate workflows through tools like Terraform and collaborate closely with software engineers to enhance system reliability, performance, and security.

Candidates for the Platform Engineer position at Moonvalley should ideally have a minimum of 3 years of experience in platform engineering or related fields. A strong background in cloud platforms, especially AWS, along with container orchestration (like Docker or Kubernetes) is essential. Familiarity with infrastructure-as-code tools (such as Terraform) and CI/CD pipelines is also expected. Proficiency in scripting languages like Python or Bash is a huge plus!

At Moonvalley, Platform Engineers experience a dynamic and engaging work environment that mirrors the dedication of Olympic athletes. While the work can involve some late nights and weekends, particularly during critical projects, it also offers the chance to make substantial contributions to cutting-edge AI technology. The role is hybrid, allowing for remote work alongside occasional team gatherings in exciting locations like London or North America.

Moonvalley is committed to the professional growth of its Platform Engineers by fostering an environment focused on creative problem-solving and technical expertise. You'll work at the forefront of AI technology alongside experienced professionals, gaining insights and skills through hands-on projects and collaboration. Our team encourages continuous learning and open communication, making it a great place to develop your career.

As a Platform Engineer at Moonvalley, you will use various tools and technologies essential for building and maintaining our infrastructure. This includes cloud management platforms such as AWS, infrastructure-as-code tools like Terraform for automation, and CI/CD solutions such as Jenkins or GitHub Actions. You’ll also work with monitoring and logging tools like the ELK Stack and Grafana to ensure optimal system performance and reliability.

When answering this question, highlight your hands-on experience with AWS, mentioning specific services you've utilized (like EC2, S3, Lambda). Discuss projects where you've optimized performance and managed costs, showcasing your problem-solving capabilities in a cloud environment.

Discuss your experience with tools like Terraform or Pulumi. Highlight how using these tools improved deployment times, enabled reproducibility of environments, and facilitated collaboration between team members by providing a consistent infrastructure setup.

Share a specific incident, detailing the issue, the analysis process, and the steps you took to resolve it. Emphasize your analytical thinking, collaboration with team members during the incident, and the ultimate outcome that improved the infrastructure's resilience.

Explain your method for assessing CI/CD pipelines, including identifying bottlenecks and areas for improvement. Provide examples of how you've streamlined processes previously, such as automation of tests or integration steps that enhanced deployment frequency and reliability.

Mention the scripting languages you are proficient in, such as Python or Bash, and discuss specific automation tasks you've accomplished. Examples could include writing scripts to automate deployments, monitor system health, or generate reports based on system data.

Talk about the strategies you implement to enhance security, such as adhering to best practices in cloud services, using encryption, and regularly auditing systems for vulnerabilities. Mention your experience with security tools and the importance of security in the infrastructure lifecycle.

Familiarize the interviewer with your experience in deploying and managing applications via Kubernetes. Discuss how you've utilized it for scaling, load balancing, or service discovery, and share any specific challenges you've overcome in a containerized environment.

Illustrate your understanding of the criticality of monitoring and logging. Mention tools you've used, such as Prometheus or Grafana, and describe how you've utilized metrics and logs to provide insights into system performance and to quickly diagnose issues.

Share examples of past collaborations with development teams, discussing your approach to gathering requirements and feedback to create infrastructure that meets their needs. Highlight the importance of communication and how it helps prevent bottlenecks in the development process.

Express your enthusiasm for the potential of generative AI and its ability to transform industries like media and entertainment. Discuss any previous work or projects in this area that fuel your passion and how you envision contributing to Moonvalley’s mission in this space.