Principal Architect - Platform

The successful candidate will lead the design and development of scalable, fault-tolerant platforms, leveraging Kubernetes, DevOps, and cloud/on-prem technologies. As the Sr. Principal Architect/Lead - Platform, you will play a pivotal role in shaping and implementing our platform architecture. Your expertise in Kubernetes, DevOps automation, and distributed systems will be instrumental in building highly available, cost-efficient platforms. You will collaborate with cross-functional teams to ensure seamless integration and optimal performance.

• Lead the design, development, and implementation of scalable, fault-tolerant platforms using Kubernetes and DevOps practices.
• Architect and optimize multi-tenant shared services, including databases, MQTT, cert-manager, Keycloak, and blob storage.
• Ensure real-world availability, fault tolerance, and cost efficiency of platform services.
• Collaborate with cross-functional teams to integrate and optimize platform solutions.
• Stay updated with industry trends and best practices in platform architecture and design.
• Mentor and guide junior team members on platform-related matters.
• Document and communicate platform architecture and design decisions effectively.
• Troubleshoot and resolve complex platform-related issues.
• Conduct code reviews and ensure adherence to coding standards and best practices.

• Extensive experience with Kubernetes deployment and cluster operations.
• Proficiency in DevOps code automation and GitOps workflows (ArgoCD).
• Deep understanding of distributed systems and experience operating them in production.
• Experience with vertical and horizontal scaling of applications and services.
• Strong knowledge of public cloud managed services (EKS, EC2, S3) and on-prem infrastructure equivalents.
• Expertise in networking, including L4/L7 load balancers.
• Ability to design and optimize multi-tenant shared services.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Master's degree in Computer Science, Engineering, or a related field; PhD preferred.