What You Will Be Doing :

- Driving innovation through improvements to CI/CD pipelines.

- Automating infrastructure and configuration using tools like Terraform, Ansible, and Python.

- Supporting internal teams including Engineering, Professional Services, and Sales Engineering.

- Managing infrastructure as code via Git and webhooks GitOps.

- Fostering a strong DevOps culture and cross-functional collaboration.

- Creating and maintaining clear, comprehensive documentation.

- Championing new tools and practices across the organization.

- Participating in an on-call rotation.

- Advocating for DevSecOps best practices.

Responsibilities :

- Develop and support automated, scalable solutions to deploy and manage global infrastructure.

- Implement and maintain effective CI/CD pipelines.

- Integrate services to enable fully automated workflows.

- Enhance and maintain infrastructure provisioning and deployment tools.

- Troubleshoot and optimize systems across Prod/QA/Dev environments.

Preferred Skills :

- Bachelor's degree in computer science or related field, or equivalent work experience.

- Experience with automated server configuration and deployment tools.

- Strong working knowledge of AWS (certifications preferred).

- Proficiency in Linux, especially in customer-facing environments.

- Solid understanding of IP networking, VPNs, DNS, load balancing, and firewalling.

- Strong experience with Infrastructure as Code (Terraform / CloudFormation).

- Hands-on experience with Nginx, Apache, and HAProxy.

- Advanced expertise in Kubernetes (EKS, GKE, or AKS) and Docker, with a focus on scalable architecture, Helm, ArgoCD, GitOps, and container security.

- Object-oriented programming experience in Java, Python, or C++.

- Familiarity with GitHub, Jenkins, and Artifactory.

Minimum Qualifications :

- Strong Linux systems administration skills in cloud or virtualized environments.

- Scripting experience (Bash / Python).

- Automation experience (Ansible / Chef / Puppet).

- CI/CD tools, primarily Jenkins.

- Hands-on experience with Kubernetes and Docker, including cluster management, Helm, and container lifecycle optimization.

- Experience with at least one major cloud provider : AWS, Google Cloud, or Azure.

- Proven experience automating production environments.

- Experience implementing and tuning monitoring tools.

- Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences.