Senior AI Platform Engineer

CGI•Knoxville, TN

21h•Hybrid

About The Position

CGI is seeking a Senior AI Platform Engineer to lead the design, implementation, and optimization of our container orchestration platforms powering next-generation AI/ML workloads. In this role, you will play a critical part in architecting and evolving our Kubernetes infrastructure across Azure and Google Cloud, directly contributing to the build and scale of our GenAI platform. This role blends deep technical expertise in Kubernetes and cloud infrastructure with strategic vision. You will work closely with AI/ML and Enterprise Platform Architects to ensure the reliability, scalability, and security of our cloud-native platforms, accelerating the delivery of cutting-edge GenAI capabilities. This role can be performed on a hybrid basis onsite at a local CGI office within the United States.

Requirements

5+ years of experience with Kubernetes in enterprise or large-scale environments, including managing production workloads at scale.
3+ years of experience in cloud platforms (Azure, GCP, or AWS) with a strong grasp of cloud-native patterns.
Strong command of tools such as Terraform and Helm.
Expertise in pipelines and tools (e.g., ArgoCD, Flux, GitHub Actions, Jenkins, or GitLab).
Deep experience with VNET peering, Azure App Gateway, Load Balancers, Traffic Manager, VPN Gateways, and ExpressRoute.
Functional knowledge of DNS, Active Directory, ADFS, and Certificate Authorities.
In-depth knowledge of Docker and container lifecycle management.
Extensive experience in infrastructure capacity planning, performance tuning, and scaling techniques.
Proficiency with tools like SigNoz, Prometheus, Grafana, ELK/EFK, Datadog, or New Relic.
Excellent programming skills in Python, Go, or Bash.
Familiarity with licensing/subscription vehicles (Microsoft Enterprise Agreements or CSP).
A proactive "builder" mindset with a high degree of accountability.
Proven ability to lead projects from design to implementation and mentor technical teams.
Strong stakeholder engagement skills and the ability to translate complex technical concepts.
Analytical mindset focused on platform reliability and high performance.

Nice To Haves

Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
Experience with Istio, Linkerd, or Consul.
Familiarity with OPA/Gatekeeper or Kyverno.
Experience with self-managed PostgreSQL is a significant plus.
Experience managing multi-tenant or federated Kubernetes environments.
Background in security frameworks such as SOC2, HIPAA, or HITRUST.

Responsibilities

Lead the architecture, deployment, and lifecycle management of Kubernetes clusters across production, staging, and development environments.
Architect and maintain multi-cloud or hybrid Kubernetes environments (GKE, AKS, or self-managed).
Collaborate with engineering teams to define platform standards, service deployment models, and cloud-native best practices.
Drive the adoption of GitOps, Infrastructure-as-Code (IaC), and modern cloud-native tooling.
Implement enterprise-grade security within Kubernetes, including RBAC, network policies, and PodSecurityStandards.
Design and implement robust logging, monitoring, and observability solutions.
Guide and mentor junior engineers in platform engineering principles and Kubernetes excellence.
Optimize infrastructure for cost, performance, and availability; participate in incident response, root cause analysis, and capacity planning.