Senior AI Cloud DevOps Engineer — MLOps & SRE Lead

Bitdeer (NASDAQ: BTDR); San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer Technologies Group is seeking a highly skilled Cloud Senior DevOps Engineer to join our AI Cloud team. You will be the backbone of deployment and infrastructure operations, ensuring AI-powered products are delivered with speed, security, and reliability.

You will bridge research and production, drive automation, optimize cloud-native architectures, and establish best practices for MLOps and traditional DevOps workflows.

Qualifications

• Bachelor's degree or higher in CS/Engineering or related field required.
• 5+ years in DevOps, SRE, or cloud infrastructure roles.
• Strong Linux, networking, and automation knowledge.
• Hands-on with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Proficient in Go, Python, or Shell scripting for automation.
• Solid understanding of CI/CD, IaC, and observability concepts.
• Excellent collaboration and communication across teams.

Responsibilities

• Design, implement, and maintain end-to-end CI/CD pipelines for apps and ML workloads.
• Build and scale cloud-native infrastructure with Kubernetes and GPU resources.
• Own high availability, DR, capacity planning, and performance tuning.
• Lead Infrastructure as Code through Terraform, Ansible, and Helm.
• Develop comprehensive monitoring with Prometheus, Grafana, and ELK/EFK.
• Collaborate with R&D, Data Science, Security, and Business teams on IDP initiatives.
• Oversee security, release workflows, and compliance with SOC2/ISO27001.

Skills

Linux proficiency

Networking fundamentals

SRE principles

CI/CD concepts

Programming Go/Python/Shell

Multi-cloud strategy

Education

Bachelor's degree or above in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Helm

Prometheus

Grafana

ELK/EFK

Git

Job description

Bitdeer Technologies Group is seeking a highly skilled Cloud Senior DevOps Engineer to join our AI Cloud team. You will be the backbone of deployment and infrastructure operations, ensuring AI-powered products are delivered with speed, security, and reliability.

You will bridge research and production, drive automation, optimize cloud-native architectures, and establish best practices for MLOps and traditional DevOps workflows.