Senior Azure Software Developer

CGI•New Brunswick, NJ

6d•Onsite

About The Position

CGI is seeking a Senior Azure Software Developer to join our engineering team and build the cloud-native platform that powers next-generation enterprise SaaS and AI solutions. As one of the world's largest independent IT and business consulting services firms, CGI offers the opportunity to work with leading-edge cloud technologies while delivering innovative solutions for global clients. In this role, you will design, develop, and implement secure, scalable Azure-based applications and infrastructure that serve as the foundation for enterprise B2B SaaS products. Working closely with software, AI, and platform engineering teams, you will help deliver highly available, cloud-native solutions with a focus on automation, security, and operational excellence. This position can be performed in the Tri-State area where CGI has an office.

Requirements

7+ years of software engineering experience, including at least 4 years focused on Microsoft Azure cloud architecture and infrastructure.
Deep hands-on experience with Microsoft Azure (Azure Foundry preferred), Docker, and Kubernetes.
Strong background designing CI/CD pipelines and implementing deployment automation.
Experience with multi-tenant SaaS architectures and enterprise authentication patterns.
Experience designing and supporting distributed systems in production environments.

Nice To Haves

Experience deploying cloud infrastructure within regulated industries such as Life Sciences, Clinical Research, Healthcare, or Pharmaceuticals.
Experience supporting AI/ML workloads, including model serving, GPU scheduling, and vector database hosting.
Experience developing enterprise B2B SaaS applications comparable in complexity to Harvey AI, Linear AI, or similar AI-native SaaS platforms.

Responsibilities

Design and deploy secure, scalable cloud-native applications on Microsoft Azure (Azure Foundry preferred) using Docker, Kubernetes, and CI/CD pipelines.
Architect multi-tenant infrastructure, including tenant isolation, provisioning, and resource scaling.
Design and implement authentication and authorization solutions using SSO, OAuth, and role-based access control (RBAC) across multi-tenant environments.
Design distributed systems architecture, including service-to-service communication, load balancing, resiliency, and fault tolerance.
Build and maintain infrastructure as code (IaC), deployment pipelines, and release automation.
Implement monitoring, logging, and observability for production cloud workloads.
Partner with Software Engineering and AI Engineering teams to ensure the platform supports application hosting and AI model serving requirements.
Apply cloud security best practices and governance standards, particularly within regulated enterprise environments.