СШАSite Reliability Engineer, Cloud Infrastructure
6 дн. назад
СШАRemote
google cloud platformgcpgokubernetesterraformprometheusgrafanavault
Responsible for building, maintaining, and improving cloud infrastructure and ensuring reliability, scalability, and performance of the platform.
Обязанности
- Automate away as much of the day-to-day work as possible.
- Design and implement highly available and scalable systems.
- Ensure smooth day-to-day operations of ’s infrastructure.
- Build and evolve tools and standards for automation, scaling, monitoring, and alerting.
- Collaborate with product teams to resolve production issues, improve monitoring and leverage cloud services.
- Participate in weekly on-call rotation.
Требования
- Proficiency with at least one cloud platform is required, with GCP services (e.g., GKE, Compute Engine, VPC) being a plus.
- Solid understanding of containerization technologies such as Kubernetes and Docker.
- Experience with automation tools such as Puppet, Salt, Ansible, and Terraform.
- Experience writing automation using Go, Python, etc.
- Experience designing highly available and scalable systems.
- Proficient with version control systems (e.g., Git) and CI/CD concepts.
- Strong problem-solving skills and the ability to troubleshoot complex issues systematically.
Другое
- In this role, you will be responsible for building, maintaining, and improving the cloud infrastructure that powers 's services. You will work with a modern tech stack, including Google Cloud Platform (GCP), Go, Kubernetes, Terraform, Prometheus, Grafana, and Vault. As an engineer, you will be proficient in core tools and languages, capable of completing routine tasks independently, and will use established patterns to create high-quality, maintainable solutions. You will play a key role in ensuring the reliability, scalability, and performance of our platform.
- This position will be remote
- Reports to: Engineering Manager
- A passion for Infrastructure as Code, constantly seeking opportunities to automate, optimize, and manage infrastructure through code.
- Deep expertise in Kubernetes, including cluster design, deployment, and ongoing management for large-scale applications.
- Experience with advanced GCP services and architectures.
- A strong sense of ownership and accountability for the systems you build and maintain.
- Managing infrastructure and applications using IaC, GitOps and ArgoCD.
- Employment with is contingent upon the successful completion of a background check , conducted in accordance with applicable laws.
- At , we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.