Cloud Infrastructure Engineer

As a Cloud Infrastructure Engineer at Braintrust, your primary responsibilities include building and maintaining Terraform modules for internal and customer deployments, supporting customers in Slack with self-hosting issues, owning and improving the CI/CD pipeline, and scaling observability for logs and metrics. Additionally, you will work on multi-cloud deployment strategies predominantly in AWS, as well as Azure and GCP.

To qualify for the Cloud Infrastructure Engineer role at Braintrust, candidates should have over 5 years of experience in DevOps, SRE, or Infrastructure Engineering, with deep expertise in Terraform and Kubernetes. Familiarity with scripting languages such as Python, Bash, or Go, as well as experience supporting production systems, is also essential.

As a Cloud Infrastructure Engineer at Braintrust, you'll work with a range of cutting-edge tools and technologies, including Terraform for infrastructure as code, Kubernetes for orchestration, CI/CD pipelines for streamlined deployments, and observability tools to enhance system monitoring. You'll also be involved with AWS, Azure, and GCP in a multi-cloud environment.

Yes, at Braintrust, the Cloud Infrastructure Engineer will play a vital role in supporting multi-cloud deployment patterns. While AWS is the primary environment, you'll also engage with Azure and GCP, assisting enterprise customers in deploying our platform across different cloud services.

Braintrust values professional growth and offers various opportunities for Cloud Infrastructure Engineers to enhance their skills. This includes working on diverse projects, learning new technologies, and receiving mentorship from experienced professionals in a collaborative environment focused on innovation and learning.

When answering this question, highlight specific challenges you've faced while building Terraform modules and how you resolved them. Discuss the environments you've worked in, including multi-cloud setups, and any contributions you've made to improve infrastructure reliability.

Explain your approach to CI/CD management, including the tools you use and how you optimize build times. Share examples of how you've handled failures, enhanced visibility, and ensured safe releases, demonstrating your ability to streamline development workflows.

Discuss your hands-on experience deploying and managing workloads on Kubernetes. Share particular scenarios where you encountered issues during deployment or scaling and how you addressed them, focusing on your problem-solving skills.

Mention the scripting or programming languages you are skilled in, such as Python, Bash, or Go. Provide examples of how you've utilized them in past projects, particularly in automation or system enhancements.

Demonstrate your methodical approach to troubleshooting, including tools or processes you employ to identify and resolve issues. Share examples of specific issues you've resolved and the impact of your interventions on system performance.

Highlight your communication skills and experience working directly with customers to troubleshoot issues or support deployments. Discuss how you ensure customer satisfaction while maintaining technical integrity.

Speak about the tools and methodologies you utilize to centralize observability, including logs, metrics, dashboards, and alerts. Share how these strategies have contributed to improved monitoring and incident response in previous roles.

Mention the resources, communities, or conferences you engage with to remain informed about the latest developments in cloud infrastructure. Explain how you apply new learnings to your work and continue to evolve your skill set.

Share a specific example of an automation process you designed and implemented. Focus on the problem it addressed, the tools you used, and the outcome on efficiency or reliability.

Express an understanding of potential challenges in the role, such as managing multi-cloud environments or ensuring system reliability under load. You could discuss how you plan to approach such challenges through proactive monitoring and customer collaboration.