Top Tech Jobs & Startup Jobs

Administer and maintain MES and manufacturing systems, Windows/Linux servers, Hyper-V, and SQL Server databases. Monitor performance, troubleshoot production incidents, manage backups/recovery, support storage/SAN/NAS and disaster recovery, ensure 24/7 factory continuity, maintain security/patching, coordinate with vendors and engineers, and develop operational procedures and documentation.

Lead architecture, design, and evolution of a global multi-region cloud SRE platform for GPU/AI compute. Author and maintain platform architecture, enforce design invariants, review framework changes, run plugin framework, decide tier placements, coordinate with cloud teams and security, produce pre-flight designs, and shepherd implementations through engineering squads.

Lead design and implement a global public cloud SRE platform for AI and compute workloads. Own architecture and production engineering for observability, cluster health, remediation, lifecycle, secrets, CI/CD, backup/DR, and automation. Collaborate with cross-functional teams to build scalable, reliable multi-region services and run them in production (on-call).

Design and build global control-plane services for a GPU/AI cloud: tenant management, quota, metering/billing, RBAC, ticketing, customer portal/API, automation, region-aware scheduling, and operational tooling for detection and recovery.

Provide first-line cloud and NOC support for a multi-region GPU cloud: handle tickets, monitor alerts, triage and resolve issues across GPU instances, VMs/bare metal, networking, storage and billing, maintain runbooks, escalate to L3/SRE when needed, and participate in 24/7 follow-the-sun shift rotations.

Own and resolve complex escalations and platform incidents end-to-end. Troubleshoot GPU compute, networking/SDN, storage, drivers/CUDA, control plane, and billing. Drive root-cause analysis with SRE/Compute/R&D, lead incident response and post-incident reviews, improve runbooks and monitoring, mentor L1/L2, and participate in on-call escalation rotation.

The AI Infrastructure Engineer is responsible for architecting and managing AI compute environments using GPU clusters and optimizing performance across networking and storage systems.

The role involves ensuring reliable system integration and operation across various technical systems in a large-scale AI data center while collaborating with multiple engineering disciplines.

The Sales Manager at Bitdeer will develop client relationships, achieve sales targets, source power resources, and report on market trends and sales performance.

Manage and strategize patents, collaborate with R&D on innovations, handle IP disputes, and drive compliance and training efforts.