Cloud Platform Architect

Job#: 3054622

Job Description:

Platform Architect (Cloud & Kubernetes)

We are seeking an experienced Platform Architect to design, build, and evolve the platforms and reference architectures that support modern application deployments across cloud and Kubernetes environments.

This role will be responsible for defining deployment patterns, platform standards, and infrastructure architecture across public cloud environments, with a preference for Google Cloud Platform (GCP) and Amazon Web Services (AWS), as well as internally managed Kubernetes platforms. The ideal candidate combines deep expertise in cloud infrastructure, platform engineering, Kubernetes, service mesh technologies, and observability with a strong understanding of cloud-native architecture principles.

This is a highly collaborative role that partners with application development teams, platform engineering, Dev Ops, security, and operations teams to ensure applications are deployed securely, reliably, and at enterprise scale.

• Define and maintain target-state architecture for application deployment platforms across cloud and Kubernetes environments.
• Establish scalable, repeatable deployment patterns and reference architectures.
• Drive adoption of cloud-native architecture principles and platform engineering best practices.
• Create standards, guidelines, and governance frameworks that ensure consistency across teams.
• Evaluate emerging technologies and make architectural recommendations aligned with business and technical objectives.

• Design and implement platform solutions across AWS and GCP environments.
• Develop secure, scalable, and resilient cloud infrastructure patterns.
• Establish standards for networking, identity, access management, security, and workload deployment.
• Partner with infrastructure and security teams to ensure compliance with enterprise requirements.
• Support cloud modernization and application transformation initiatives.

• Architect and evolve enterprise Kubernetes platforms supporting containerized workloads.
• Define operational standards for multi-cluster environments.
• Design deployment, scaling, resiliency, and disaster recovery strategies for Kubernetes-based applications.
• Drive platform automation and operational excellence across development, test, and production environments.
• Collaborate with engineering teams to improve developer experience and platform usability.

• Define architecture standards for service-to-service communication.
• Design and implement service mesh strategies to support security, traffic management, resiliency, and observability.
• Establish patterns for service discovery, routing, load balancing, and policy enforcement.
• Guide teams on implementing secure and scalable microservices communication frameworks.

• Define enterprise observability strategies for cloud and Kubernetes platforms.
• Establish standards for metrics, logging, tracing, telemetry collection, and alerting.
• Implement monitoring and operational visibility practices that improve platform reliability and performance.
  
  Partner with engineering and operations teams to establish SLAs, SLOs, and reliability objectives.
• Drive proactive performance management and troubleshooting capabilities.

• Promote Infrastructure as Code (IaC) and platform automation best practices.
• Define CI/CD architecture and deployment automation standards.
• Partner with development teams to improve release velocity while maintaining security and stability.
• Support Git Ops and automated environment management practices.
• Identify opportunities to reduce operational overhead through…