DevOps GitLab-based platform CICD 30 3 pipelines - Bitdeer Technologies Group

OpenTalent; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer is building an AI-operated GPU cloud, and the AI Cloud team ships the products on top of it. As Cloud Senior DevOps Engineer you will create the paved road for CI/CD, IaC, MLOps pipelines, and the Internal Developer Platform that lets model, data-science, and product teams deploy at speed without governance bottlenecks.

You are the bridge between research and production, operating the platform substrate the AIOps team plugs into, and collaborating with R&D, Security, and Business teams

Qualifications

• Experience designing and operating end-to-end CI/CD for software and ML workloads.
• Proven ability to build cloud-native AI infrastructure with K8s and containerization tools.
• Strong focus on security, governance, and compliance in production environments.

Responsibilities

• Design, implement, and maintain end-to-end CI/CD pipelines for software and ML models.
• Build and scale cloud-native infrastructure using Kubernetes and Docker.
• Own high-availability designs, DR strategies, and performance tuning.
• Champion IaC with Terraform, Ansible, and Helm across multi-clouds.
• Develop observability with Prometheus, Grafana, and ELK/EFK stacks.

Skills

CI/CD pipelines

MLOps

Cross-functional collaboration

Observability

Security & governance

Cloud-native infrastructure

Tools

Kubernetes

Docker

Terraform

Ansible

Helm

Prometheus

Grafana

ELK/EFK stack

Job description

Job Description

You are the paved road for every AI product we ship — the CI/CD, IDP, and MLOps substrate that lets model teams deploy without opening a ticket.

Position Summary

Bitdeer is building an AI-operated GPU cloud, and the AI Cloud team ships the products on top of it. As Cloud Senior DevOps Engineer you build the paved road those products travel down: CI/CD, infrastructure-as-code, MLOps pipelines, and the Internal Developer Platform that lets model, data-science, and product teams deploy at speed without stepping around governance. You are the bridge between research and production, and the operator of the platform substrate the AIOps team plugs into.

Key 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).