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Identity Platform is seeking for a Senior Software Engineer to join our team and help tackle some of our most complex problems – our Platform Runtime team, of which you would be a part of, is charged to deliver a modernized container-based hosting platform to unlock better resource optimization and consequent savings, increase availability of Identity mission-critical services, and enable further innovation in building better software to serve over 1B humans globally.
Job Responsibility:
Work on a self-managed Kubernetes platform hosting critical Identity services processing millions of requests per second, powering hundreds of billions of authentications per day, with challenging availability targets (>99.99%)
Be part of the team shipping critical platform components quickly and safely
Hands-on role designing solutions and shipping them from whiteboard into production
Requirements:
Senior/Lead Engineer level experience in software engineering
Extensive hands-on experience in designing and managing high-scale distributed systems in production environments
Prior experience building and deploying services running on Microsoft Azure, Amazon Web Services, Google Cloud or Oracle Cloud Infrastructure
Solid knowledge of Kubernetes platform architecture, working principles and components
Extensive experience with Kubernetes and container orchestration technologies, managed Kubernetes platforms like AKS, EKS, GKE, OpenShift
Prior experience designing and converging existing services to run on container-based platforms
Experience with cloud-native infrastructure automation, and Infrastructure as Code tools (Terraform, Bicep, CloudFormation, Ansible)
Experience in applying modern SDLC and livesite operation principles, such as DevOps, SRE, Platform Engineering
The ability to meet Microsoft customers and/or government security screening requirements is required for this role
Nice to have:
Strong track record as a hands-on engineer designing and delivering elegant solutions to meet complex design and architectural challenges in a cloud-native services environment
Solid experience with networking, performance analysis, and optimization of web services and software
Deep knowledge of Kubernetes internals, networking, security model and extensibility
Experience in building self-managed Kubernetes clusters from scratch
Experience with Kubernetes customization through custom plugins and API extensions (CNI, CSI, controllers, operators)