Senior DevOps Engineer – AI Cloud
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Job Description
Senior DevOps Engineer building and operating AI cloud infrastructure for Bitdeer’s Bitcoin mining and AI computing platforms. Automating deployments, Kubernetes infrastructure, GPU workloads, reliability, and security.
Responsibilities:
- Design, implement, and maintain end-to-end CI/CD pipelines for software applications and machine learning models
- Automate build, testing, deployment, and rollback processes
- Build, optimize, and scale cloud-native infrastructure using Kubernetes and Docker
- Manage and provision specialized computing resources, including GPU clusters, for AI workloads and model inferencing
- Own high-availability design in production environments
- Implement disaster recovery, self-healing mechanisms, capacity planning, and performance tuning
- Champion Infrastructure as Code practices using Terraform, Ansible, and Helm
- Architect and refine monitoring, logging, and alerting systems
- Collaborate with R&D, Data Science, Security, and Business teams on workflow optimization and Platform Engineering initiatives
- Establish and enforce system stability and security standards, release workflows, Zero Trust access controls, secrets management, and compliance
- Lead troubleshooting during complex anomalies and major incidents, conduct root cause analysis, and implement preventative remediation plans
Requirements:
- Bachelor's degree or above in Computer Science, Engineering, or a related technical field
- 5+ years of hands-on experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
- Expert-level knowledge of Linux operating systems and core networking principles, including TCP/IP, DNS, HTTP, load balancing, and VPCs
- Deep mastery of Docker and Kubernetes orchestration, cluster management, and production best practices
- Proficiency designing and managing infrastructure on major public or hybrid cloud platforms, including AWS, GCP, Azure, or Alibaba Cloud
- Experience with multi-cloud and hybrid-cloud strategies
- Strong coding and scripting capabilities in at least one major language, such as Go, Python, or Shell
- Practical understanding of CI/CD, Infrastructure as Code, observability, and Site Reliability Engineering principles
- Exceptional problem-solving abilities, technical judgment, and cross-team communication skills
- a• Preferred: familiarity with MLOps, model serving/inferencing frameworks, GPU clusters, large-scale distributed systems, Internal Developer Platforms, Zero Trust, DevSecOps, SOC2, ISO27001, and technical leadership
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