Job Description :

Job Summary :

We're seeking an exceptional DevOps & AI Platform Engineer to join our team. This role uniquely combines traditional DevOps excellence with cutting-edge AI tooling expertise.

You'll engineer, maintain, and continuously improve our development platforms that support both cloud and on-premises deployments while pioneering the integration of AI-powered development workflows and intelligent automation. This is a hands-on engineering role focused on building, automating, and optimizing everything as code.

Job Requirements :

- Build and maintain containerized applications using Kubernetes orchestration platforms.

- Develop and optimize CI/CD pipelines for rapid, reliable software delivery, ensuring adherence to corporate security standards.

- Engineer Infrastructure as Code solutions using modern tooling and best practices.

- Champion AI-assisted development practices and integrate AI agents into development workflows.

- Maintain and improve development platforms supporting both cloud and on-premises environments.

- Support and collaborate with IT infrastructure teams to ensure seamless operations.

- Automate everything from deployments to monitoring to infrastructure provisioning.

- Strong experience with Kubernetes/container orchestration (Rancher, OpenShift, EKS, or similar).

- Proven expertise in CI/CD pipeline development (Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or comparable).

- Solid application development background with modern programming languages.

- Deep knowledge of Infrastructure as Code tools (Terraform, Ansible, Pulumi, CloudFormation, or equivalent).

- Strong understanding of cloud infrastructure, preferably AWS (Azure or GCP also considered).

- Experience with hybrid cloud and on-premises environments.

- Everything as Code mindset - configuration, infrastructure, pipelines, and policies.

- Demonstrated experience with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar tools).

- Solid understanding of AI agent development, MCP (Model Context Protocol), and context management.

Education :

- IC - Typically requires a minimum of 8 years of related experience.

- Mgr & Exec - Typically requires a minimum of 6 years of related experience.

- Experience integrating AI gateways and LLM platforms (OpenAI, AWS Bedrock, Azure OpenAI, or comparable).

- Rancher (or comparable Kubernetes management platforms).

- Azure DevOps (or GitHub Actions, GitLab CI/CD).

- Artifactory (or Nexus, Harbor, ECR).

- VS Code (or JetBrains IDEs, Eclipse).

- GitHub Copilot (or Cursor, Cody, Tabnine).

- Previous experience supporting IT infrastructure teams.

- Certifications in AWS, Kubernetes (CKA/CKAD), or relevant technologies.

- Experience with observability tools (LogicMonitor is a plus).

- Background in platform engineering or developer experience (DevEx) initiatives.

- Contributions to open-source projects or technical community involvement.