Requirements:

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience)
Proven experience as a reliability engineer or similar role in a fast-paced, rapidly scaling company
Strong proficiency in cloud infrastructure
Proficiency in programming/scripting languages
Experience with containerization technologies and container orchestration platforms like Kubernetes
Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation
Excellent problem-solving and troubleshooting skills
Strong communication and collaboration skills
Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk, and ELK stack
Experience with microservices architecture and service mesh technologies
Knowledge of security best practices in cloud environments

Nice to Haves:

Enjoy seeking out and addressing bottlenecks and areas for performance improvement in systems
Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management
Experienced in collaborating with cross-functional teams for reliability and scalability
Track record of accelerating engineering reliability through tooling
Create a diverse, equitable, and inclusive culture
Humble attitude, willingness to help colleagues, and commitment to team success
Ownership of problems end-to-end and willingness to learn for success

Design and implement solutions for infrastructure scalability
Collaborate with development teams to enhance system reliability
Implement and manage monitoring systems to identify issues proactively
Develop and maintain service level objectives and indicators
Implement fault-tolerant design patterns
Build automation tools for system reliability
Work with cross-functional teams to bring new features and research capabilities
Participate in on-call rotation for critical incident response