Lead Senior Cloud Platform Engineer

The Senior Cloud Platform Engineer leads the modernization of our cloud environment by driving the implementation of advanced Azure PaaS and application platform capabilities that enable the delivery of scalable, secure, and modern cloud-native applications. The Senior Cloud Platform Engineer is responsible for building scalable, enterprise-ready environments that empower our AI, Data, and Application teams to deploy workloads independently, replacing manual processes with automated, self-service APIs and CI/CD blueprints. By abstracting the underlying complexities of Azure PaaS and Kubernetes, this position will enable a streamlined, high-performance experience for our engineering teams. The Senior Cloud Platform Engineer will build and operate these platforms, ensuring our application teams can deploy, run, and scale services reliably and securely.

Responsibilities and Duties
Platform Architecture & Modernization: Design, build, and evolve our cloud platform to provide standardized, self-service capabilities that support the modernization of our application portfolio.
Container & PaaS Orchestration: Lead the design, implementation, and operation of Azure Container Apps and Kubernetes (AKS) environments, ensuring scalable, high-performance runtime environments.
Data & AI Ecosystem Integration: Architect and automate the deployment of data-intensive platforms, including Azure Databricks and Snowflake, ensuring seamless integration with our application stack.
Engineering Enablement & Support: Work directly with development teams to debug deployment and runtime issues, improve application reliability, and drive platform stability through continuous improvements.
Incident Management: Participate in on-call rotations, incident response, and root cause analysis to maintain high platform availability and performance.
Identity & Security Architecture: Implement secure design patterns using Managed Identities and Azure Key Vault to ensure secret management and service-to-service authentication.
API-Driven Automation: Build and maintain API-driven integrations to automate provisioning and lifecycle management for application, AI, and data workloads.
Infrastructure-as-Code (IaC): Define and enforce automated standards using IaC (Terraform/Bicep) and CI/CD policy-as-code to ensure security and compliance at the point of deployment.
Application Delivery & CI/CD: Build and maintain CI/CD pipelines using GitHub Actions or Azure DevOps to standardize application deployment, environment promotion, and release automation.
Observability & Monitoring: Implement logging, monitoring, and alerting using Application Insights and Log Analytics to ensure platform health and support troubleshooting across distributed systems.

Position Requirements

8–12+ years in cloud engineering with a focus on application platforms, PaaS services, and container orchestration.
Deep experience with AKS / Azure Container Apps, API Management, Service Bus / Event Grid, and Databricks / Snowflake integrations.
Hands-on experience logging, monitoring, and diagnosing distributed systems to ensure platform health.
Strong coding ability in Python, Go, or .NET capable of building custom tools, automation, and platform integrations.
Solid experience with Docker and Kubernetes operations, including deployments, scaling, and deep-level troubleshooting.
Proficient in implementing Managed Identity, Key Vault, and modern application authentication patterns.
Expert-level skill in Terraform or Bicep, including the development of reusable, version-controlled modules.
Proven experience building and maintaining pipelines, with a focus on integrating automated testing and security controls.