Senior AI Cloud Platform Engineer

Bitdeer; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Bitdeer Technologies Group is seeking a Cloud Senior DevOps Engineer to join our AI Cloud team in a high-impact role. You will drive automation, optimize cloud-native architectures, and champion MLOps and traditional DevOps workflows to support AI-powered products and platforms.

You will design and maintain end-to-end CI/CD pipelines, manage GPU-enabled infrastructure, ensure high availability, and collaborate across R&D, Data Science, Security, and Business teams to raise engineering efficiency

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• 5+ years in DevOps, SRE, or Cloud Infrastructure roles.
• Strong Linux and networking fundamentals.

Responsibilities

• Design, implement, and maintain end-to-end CI/CD pipelines for apps and ML models.
• Build, scale, and manage cloud-native infrastructure with Kubernetes and Docker.
• Own high-availability design, DR strategies, and capacity planning.
• Champion IaC with Terraform, Ansible, and Helm across multi-cloud environments.
• Implement observability with Prometheus, Grafana, and ELK/EFK stacks.
• Collaborate with R&D, Data Science, Security, and Business teams for efficient workflows.
• Establish and enforce security standards, Zero Trust, and release governance.
• Lead incident response, RCA, and preventive remediation.

Skills

Automation mindset

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Helm

Prometheus

Grafana

ELK/EFK

Job description

Bitdeer Technologies Group is seeking a Cloud Senior DevOps Engineer to join our AI Cloud team in a high-impact role. You will drive automation, optimize cloud-native architectures, and champion MLOps and traditional DevOps workflows to support AI-powered products and platforms.

You will design and maintain end-to-end CI/CD pipelines, manage GPU-enabled infrastructure, ensure high availability, and collaborate across R&D, Data Science, Security, and Business teams to raise engineering efficiency