Platform / DevOps Engineer

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.

Requirements:

• Design, implement, and maintain CI/CD pipelines (build, test, deploy) using tools like GitHub Actions, Azure DevOps, or Jenkins.
• Build and manage Infrastructure as Code (Terraform, Bicep, CloudFormation), creating reusable templates for accelerators and client solutions.
• Containerize applications (Docker), deploy to Azure Container Apps / AKS, AWS ECS/EKS, or serverless as needed.
• Set up observability: logging, monitoring, alerting; tools may include Azure Monitor and other enterprise-approved tools as required.
• Ensure secure deployments: identity & access management (IAM, RBAC), VNet / VPC design, private endpoints, secrets management.
• Implement encryption, access controls, and compliance guardrails (HIPAA, SOC2, GDPR awareness preferred).
• Ensure deployments comply with performance, reliability, and cost goals for production environments.
• Provide runbooks, operational documentation, and support handoff processes.
• Evaluate and adopt open-source tools to improve automation, observability, and deployment efficiency.
• Collaborate with Solution Architects and Engineers to align deployment and infrastructure patterns with enterprise guardrails.

Preferences:

• 4+ years of experience in DevOps, platform infrastructure, or cloud engineering roles.
• Proficiency in Cloud platforms such as Azure and AWS deploying services, using cloud-native tools.
• Strong experience with Infrastructure as Code (Terraform or equivalent).
• Hands-on with containerization (Docker) and at least one orchestration tool (Kubernetes, ECS/EKS, etc.).
• Solid knowledge of CI/CD pipelines and best practices.
• Experience with monitoring/logging/observability setup.
• Understanding of cloud networking/security: IAM / RBAC, VNet/VPCs, private endpoints, secrets management.
• Strong scripting (Python, Bash) for automation.
• Preferred: Familiarity with Kubernetes package management.
• Preferred: Exposure to AI/ML deployment (e.g. deploying models, integrating AI workflows, Azure OpenAI, LangGraph, etc.).
• Strong communication skills; ability to liaise with client IT/security and internal teams.

Degree in Computer Science or related field, or equivalent hands-on experience.