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Platform DevOps Engineer - Future Secure AI
Devops Engineer
Lead the design and operation of scalable, secure cloud platforms using Kubernetes, Docker, and AWS, while automating CI/CD pipelines with Terraform and Python to deliver reliable AI services.
About the role
Key Responsibilities
- Architect, deploy, and maintain highly available Kubernetes clusters on AWS, ensuring performance, security, and cost efficiency.
- Design and implement CI/CD pipelines using Git, Jenkins/ArgoCD, Terraform, and Python scripts to automate build, test, and release processes.
- Collaborate with AI and data teams to integrate model deployment workflows, monitoring, and logging into the platform.
- Implement infrastructure as code, manage secrets, and enforce compliance with security best practices.
- Monitor system health, troubleshoot incidents, and continuously improve observability and alerting.
Requirements
- 3+ years of experience in DevOps or Site Reliability Engineering roles.
- Proficiency with Kubernetes, Docker, and AWS services (EKS, EC2, S3, IAM).
- Hands‑on experience with Terraform, Git, and CI/CD tooling.
- Strong scripting skills in Python and Bash.
- Excellent problem‑solving skills and a passion for automation and cloud-native technologies.
Skills
kubernetesdockerawsterraformpython