Senior Cloud Integration Engineer (Azure)
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.
We’re looking for a Senior Cloud Integration Engineer with expertise in Microsoft Azure and a passion for building secure, scalable, and reliable cloud infrastructure. In this role, you will lead the design and implementation of cloud-native services and enterprise integrations that power our GenAI platform. You’ll work cross-functionally to ensure our cloud stack is secure, automated, and built to scale.
• Azure Cloud Architecture: Design, deploy, and manage robust cloud infrastructure using services like Azure App Services, AKS, Entra ID, Key Vault, and VNETs.
• Containerization: Package applications using Docker and manage deployments via Kubernetes (AKS); experience with Helm is a plus.
• Infrastructure as Code: Implement and maintain infrastructure using ARM templates, Terraform, or Bicep.
• API & Enterprise Integration: Build and maintain secure integrations with REST APIs, webhooks, and third-party enterprise systems (CRMs, ERPs, IdPs like EntraID or Okta).
• Identity & Access Management: Design and enforce IAM policies, SSO integrations, RBAC, and authentication flows using OAuth2 and OpenID Connect.
• Cloud Security & Compliance: Ensure cloud infrastructure follows security best practices including TLS, secret management, secure networking, and compliance guidelines.
• Observability: Implement logging, alerting, and monitoring systems, including tools for vulnerability scanning and performance metrics.
• Cross-Team Collaboration: Partner with AI, product, and frontend/backend teams to enable seamless and secure platform integration.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in cloud engineering or infrastructure roles, with a primary focus on Azure.
• Proven experience deploying and managing containerized applications at scale using Docker and Kubernetes.
• Background in enterprise application integration, especially with identity and authentication systems.
• Azure Cloud: App Services, Azure Kubernetes Service (AKS), Entra ID, Key Vault, VNETs, NSGs
• CI/CD: GitHub Actions or Azure DevOps
• Containers: Docker, Kubernetes
• IaC: ARM Templates, Terraform, or Bicep
• Integration: REST APIs, webhooks, OAuth2, OpenID Connect
• Enterprise Systems: CRM, ERP, IdPs like Azure AD, Okta
• Security: TLS, HTTPS, RBAC, secret management, Azure security best practices
• Monitoring: Logging, alerting, vulnerability scanning
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration in a team environment
• Adaptability to fast-paced, startup-style environments
• Proactive attitude and passion for secure, scalable cloud architecture
• Competitive Compensation: Tailored to your experience and skill set.
• Flexible Work Arrangements: Hybrid working model for work-life balance.
• Career Growth: Opportunities for professional development and leadership roles.
• Innovative Culture: Work on transformative technologies and make an impact in the AI space.
