AI Cloud Senior DevOps Engineer

About the Company

Bitdeer Technologies Group is a world-leading technology company specializing in AI and Bitcoin mining infrastructure. The company provides comprehensive Bitcoin mining solutions, including equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities for high-demand artificial intelligence applications. Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.

About the Role

We are seeking a highly skilled and motivated Cloud Senior DevOps Engineer to join our AI Cloud team. In this high-impact role, you will be the backbone of our deployment and infrastructure operations, ensuring that our AI-powered products and platforms are delivered with speed, security, and exceptional reliability. You will act as a crucial bridge between our research/development teams and real-world deployment, driving automation, optimizing cloud-native architectures, and establishing best practices for MLOps and traditional DevOps workflows.

Responsibilities

• Design, implement, and maintain end-to-end CI/CD pipelines for both software applications and machine learning models. Automate build, test, deployment, and rollback processes to ensure seamless transitions from innovation to production.
• Build, optimize, and scale cloud-native infrastructure using Kubernetes (K8s) and Docker. Manage and provision specialized computing resources (e.g., GPU clusters) to support high-performance AI workloads and model inferencing.
• Take ownership of high-availability design in production environments. Implement disaster recovery (DR) strategies, self-healing mechanisms, capacity planning, and performance tuning to meet stringent business SLAs.
• Champion Infrastructure as Code (IaC) practices utilizing tools such as Terraform, Ansible, and Helm to achieve fully automated, reproducible, and auditable infrastructure provisioning across multiple cloud environments.
• Architect and refine comprehensive monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK/EFK stack) to provide deep visibility into system health, application performance, and AI model metrics.
• Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency through Internal Developer Platforms (IDP) and Platform Engineering initiatives.
• Establish and enforce robust system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance with industry frameworks (e.g., SOC2, ISO27001).
• Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, conduct thorough root cause analysis (RCA), and implement preventative remediation plans.

Requirements

• Bachelor's degree or above in Computer Science, Engineering, or a related technical field, with 5+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
• Expert-level knowledge of Linux operating systems and core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs).
• Deep mastery of Docker and Kubernetes orchestration, including a thorough understanding of underlying principles, cluster management, and production-level best practices.
• Proven proficiency in designing and managing infrastructure on major Public or Hybrid Cloud platforms (e.g., AWS, GCP, Azure, Alibaba Cloud), including multi-cloud and hybrid-cloud strategies.
• Strong coding and scripting capabilities in at least one major language (Go, Python, Shell, etc.) with a solid engineering-oriented mindset focused on automation and tooling development.
• Systematic and practical understanding of CI/CD methodologies, Infrastructure as Code (IaC), Observability paradigms, and Site Reliability Engineering (SRE) principles.
• Exceptional problem-solving abilities, sharp technical judgment, and excellent cross-team communication skills to effectively collaborate in a fast-paced, dynamic environment.

Preferred Qualifications

• Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML workloads.
• Proven track record working with large-scale distributed systems or high-concurrency environments (e.g., Fintech, Trading, Real-time processing, or AI platforms).
• Hands-on experience in designing and building Internal Developer Platforms (IDP) to enhance developer autonomy and productivity.
• Deep familiarity with Zero Trust architecture, automated security testing (DevSecOps), and implementing strict compliance frameworks (e.g., SOC2, ISO27001).
• Prior experience acting as a Technical Lead, mentoring junior engineers, or managing DevOps teams.