Note: The job is a remote job and is open to candidates in USA. Bitdeer is a technology company focused on AI and Bitcoin mining infrastructure, including AI computational infrastructure and cloud capabilities. The Cloud Senior DevOps Engineer will build and operate the CI/CD, infrastructure-as-code, MLOps, and Internal Developer Platform foundations that enable AI product, model, data-science, and product teams to deploy efficiently and securely.
Responsibilities
- CI/CD & MLOps Pipeline Management: 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
- Cloud-Native & AI Infrastructure: 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
- High Availability Architecture: 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
- Infrastructure as Code (IaC): Champion IaC practices utilizing tools such as Terraform, Ansible, and Helm to achieve fully automated, reproducible, and auditable infrastructure provisioning across multiple cloud environments
- Observability & Monitoring: 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. Feed the AIOps substrate with clean, well-labeled telemetry
- Internal Developer Platform (IDP): Build the paved road that lets product, model, and data-science teams deploy without opening a ticket. Make golden paths so obvious that shortcuts feel harder than doing it right
- Cross-functional Collaboration: Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency
- Governance, Security & Compliance: Establish and enforce system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance (e.g., SOC2, ISO27001)
- Incident Management & Resolution: Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, thorough RCA, and preventative remediation — and turn each incident into an automation that stops the next one before it pages a human
Skills
- 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
- 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
- AIOps Builder Mindset: You see incidents, tickets, and manual runbooks as source material for the next automation, not as steady-state work. You've either wired an LLM-driven code/config helper into a pipeline or have strong opinions on how to
- Paved-Road Philosophy: You think in golden paths and defaults, not policies; you'd rather make the right thing easy than write a doc scolding people for doing the wrong thing
Company Overview