Principal Architect, Aera Technology

• 10+ years of cloud infrastructure experience with expert-level skills in Kubernetes and Azure
• Proven experience designing and operating multi-tenant SaaS platforms where performance, scalability, and security are critical
• Hands-on expertise with Crossplane for Kubernetes-controlled Azure service provisioning
• Deep familiarity with Azure services: AKS, AzureFlexible MySQL, Blob Storage, Event Hubs, Key Vault, etc
• Strong coding and automation background with Github Actions, Python, and Terraform, plus experience with other high-level programming and scripting languages
• Skilled in Infrastructure as Code (Terraform, Crossplane, Helm) and GitOps (Argo CD)
• In-depth knowledge of Kubernetes networking, autoscaling, and workload orchestration for AI/ML inference workloads
• Proficiency with observability tooling: Prometheus, Grafana, Azure Monitor, and OpenTelemetry
• A collaborative leader who thrives on mentoring and enabling teams, with excellent communication and documentation skills
• Motivated to build the core infrastructure behind AI-powered decision intelligence at global scale, driving meaningful impact for some of the world’s most recognized brands

Desirable

• As a Principal Architect, you will play a crucial role in developing the multi-cloud infrastructure to ensure the scalability, reliability, and security of our systems. You will work closely with cross-functional teams to drive innovation, streamline operations, and optimize our platform for performance and efficiency
• You'll architect and scale enterprise-grade AKS clusters built for high concurrency, performance, and real-time AI inference, ensuring the platform is globally distributed and highly available
• Leverage Crossplane for Kubernetes-native provisioning of Azure services, creating a Kubernetes-native control plane for rapid scaling of AI services
• Champion GitOps practices with Argo CD to standardize deployments across multiple environments and regions, enabling reliable, automated delivery of mission-critical SaaS workloads
• Engineer infrastructure that supports data-intensive AI/ML pipelines, integrating compute, storage, and messaging with Kubernetes to power real-time decision intelligence use cases
• Optimize scalability and concurrency with autoscaling, pod disruption budgets, and advanced workload scheduling, ensuring millions of daily requests are served with low latency
• Develop and maintain automation, tooling, and integrations using Python, Ruby, and Terraform, enabling teams to scale infrastructure and AI services efficiently
• Design and enforce secure, compliant, multi-tenant architectures with Azure AD SSO, managed identities, RBAC, and Key Vault integration
• Build resilient networking topologies with VNets, VNet peering, Private Link, and service mesh technologies (e.g., Istio, Linkerd) and emissary ingress for advanced security and reliability
• Integrate observability frameworks at scale using Prometheus, Grafana, Azure Monitor, and OpenTelemetry, providing deep visibility into performance, availability, and latency
• Collaborate closely with AI/ML engineering teams to align infrastructure with real-time inference and streaming data requirements, enabling cutting-edge decision automation
• Mentor engineering and operations teams while documenting and evangelizing Kubernetes-native and Azure-native best practices, driving innovation across the organization