Azure Platform Engineer

As an Azure Platform Engineer, you will help build, automate, monitor and operate production Azure environments, with a focus on reliability, security, observability and cost management. You will work with Azure infrastructure, APIs, CI/CD pipelines and Infrastructure-as-Code while supporting the operational needs of enterprise AI platforms. We are looking for a hands-on platform engineer with strong operational ownership and automation skills; someone who can troubleshoot production issues, build repeatable infrastructure and help maintain a secure and reliable platform.

This is a Full-Time, on-site employment opportunity based in Buffalo, NY (Preferred) or any CGI office in East Coast in a Hybrid Model with travel to Buffalo as required., Design, build, and operate the Azure AI platform infrastructure (Azure OpenAI, Azure AI Foundry, Azure Machine Learning, AI Search, networking, and identity) that other teams build on top of. .Implement platform level controls required by governance policy: content filtering, prompt/response logging, access controls, rate limiting, and data residency enforcement. .Manage provisioning, scaling, and cost governance for AI workloads across resource groups, subscriptions, and environments (dev/test/prod). .Build and maintain CI/CD pipelines for model deployment, prompt/config versioning, and infrastructure as code for AI services. .Own platform security posture: private endpoints, managed identities, RBAC, key/secret management, and integration with enterprise security tooling. .Monitor platform health, latency, and reliability (SLOs/SLIs) for AI services, and lead incident response for platform level outages or degradations. .Partner with the AI Governance Lead to implement policy requirements as technical controls, and flag where policy asks exceed current platform capability. .Support FDEs and application teams by maintaining reusable platform components (RAG scaffolding, agent orchestration patterns, connectors) so they aren’t rebuilding infrastructure per engagement. .Evaluate and onboard new Azure AI capabilities (new models, agent frameworks, evaluation tools) and assess their fit for the platform roadmap. .Maintain documentation of platform architecture, configuration standards, and runbooks to support audits and onboarding., Azure Infrastructure Observability Python SRE (Site Reliability Engr.) Terraform Azure - Data & AI Azure - Infrastructure Azure Functions Azure Redis Cache

At least 5+ years of experience in as an Azure Platform Engineer, Site Reliability engineering, platform operations, or infrastructure engineering. .Hands on experience with Azure infrastructure (APIM, Monitor, Log Analytics, Entra ID, Terraform). You can build and troubleshoot, not just architect. .Experience building observability pipelines (OpenTelemetry, Prometheus, Grafana, or Azure native equivalents). You know the difference between metrics, traces, and logs and when each matter. .Experience with CI/CD for infrastructure (Terraform, GitHub Actions or GitLab CI, IaC patterns). .Strong scripting and automation skills (Python, Bash, PowerShell). You automate operational tasks by default. . Available for on call production support systems.

Desired qualifications/non essential skills required .Experience with LLM specific operational concerns: token cost tracking, model latency monitoring, provider failover, rate limiting per caller identity. .Experience with SIEM integration and security event feeds from application infrastructure. .Familiarity with AI gateway patterns (prompt logging, PII interception, content filtering at the infrastructure layer). .Experience in a regulated environment where audit trails and change management are mandatory.

Education: Bachelor’s degree in computer science or related field.

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $71,700.00 $188,100.00.

CGI’s benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave . Learning opportunities and tuition assistance . Wellness and well-being programs

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.