The Public Cloud Platform Engineer will be instrumental in implementing the architecture and the engineering processes and best practices to enable application hosting in container orchestration environments in public cloud. The role is responsible for owning the front-end development of one or more products, building, maintaining and operating the product through all phases of its life. The ideal candidate has knowledge in modern Micro Services architectures and deployments, and cloud infrastructure and data services. The role requires a talented technologist with experience architecting and defining engineering processes and best practices to both enhance our public cloud development and ensure success in migrating applications and services to the cloud.
Responsibilities:
- Deliver the tooling and capabilities needed to enable application hosting in container orchestration environments
- Deploy and manage large-scale Kubernetes clusters
- Engineer and secure container orchestration solutions (self-managed platforms and Cloud Native)
- Understand information modeling, data structures and algorithms
- Participate in the front-end development for one or more products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience
- Incorporate testing and instrumentation into your development workflow to ensure a product is reliable and measurable
- Create and maintain continuous integration and deployment processes
- Understand maintenance characteristics, runtime properties and dependencies that exist in support of your system’s software. These dependencies will include but not limited to hardware, platform, operating system, performance and load requirements, as well as contingencies with upstream and downstream systems
- Devise innovative ideas for solving hard technical problems involving distributed systems, scale and security and translate these ideas into designs and implementation
- Implement best practices when it comes to availability, scalability, operational excellence, and efficiency
- Strong understanding information modeling, data structures and algorithms
- Knowledge in Kubernetes clusters
