Jobs at Bitdeer Group

Collect and document business requirements, recommend ERP solutions, validate functional specifications, coordinate between technical teams and users, create and execute testing plans and scripts, and provide ERP system training. The role focuses on financial ERP modules and requires strong software engineering knowledge, proficiency with Axure, XMind, and office software, plus Chinese and English communication skills.

Design and build scalable multi-agent AI systems that automate infrastructure and business workflows. Integrate agents with cloud services, APIs, Kubernetes, telemetry, and observability platforms to perform autonomous remediation, code generation, and system analysis. Develop agent memory and RAG systems, implement evaluation and security guardrails, and establish deployment and governance practices for agentic applications. Collaborate with infrastructure teams to integrate autonomous agents into resilient cloud platforms.

Serves as the first point of contact for visitors, clients, and employees while managing front desk operations. Responsibilities include visitor registration, meeting room scheduling, travel booking support, mail and courier coordination, office supply monitoring, event assistance, internal communications, reception upkeep, and liaison with vendors and building management. The role requires a polished, service-oriented professional with strong organization, multitasking, discretion, and Microsoft Office proficiency.

Designs and integrates distributed and parallel storage systems into a multi-region GPU cloud. Responsibilities include storage provisioning, mounting, tenant isolation, quotas, lifecycle management, I/O performance tuning, replication, consistency, durability, monitoring, capacity planning, and operational runbooks. The engineer also owns golden images, GPU drivers, CUDA, templates, container registries, and multi-region release distribution while collaborating with compute, networking, and control-plane teams.

Build global, multi-region cloud control-plane services for GPU infrastructure, including tenant management, quotas, metering, billing, ticketing, RBAC, customer portals, and APIs. Design cross-region consistency, automate customer onboarding, ensure billing auditability, develop operational recovery tooling, and support region-aware scheduling and placement.

Own end-to-end reliability for a customer-facing GPU cloud serving workloads across 100–10,000 GPUs. Responsibilities include operating Kubernetes GPU clusters, managing multi-tenant isolation, automating bare-metal provisioning, defining SLIs/SLOs/SLAs, handling incidents and customer communications, building observability with Prometheus and Grafana, implementing infrastructure as code and GitOps, and developing automated remediation and self-service operational tooling.

Designs and operates multi-tenant SDN, VPC overlays, and high-performance InfiniBand or RoCE GPU network fabrics. Responsibilities include tenant isolation, cross-region routing, congestion control, network automation, change management, fault localization, architecture standards, security boundaries, and observability for a large-scale multi-region GPU cloud.

Build and operate the CI/CD, MLOps, infrastructure-as-code, and internal developer platform supporting AI products and GPU cloud workloads. Design Kubernetes and Docker infrastructure, high-availability and disaster-recovery systems, observability platforms, security controls, and automated release workflows. Collaborate with engineering, data science, security, and business teams; lead incident response, troubleshooting, root-cause analysis, and preventative automation.

Designs and leads large-scale AI cloud and data center network architectures, including GPU cluster interconnects, InfiniBand/RoCE, Spine-Leaf networks, underlay and overlay integration, global backbone, DCI, routing, congestion control, and bandwidth planning. Produces HLDs, LLDs, topology diagrams, standards, and SOPs while identifying architectural risks and driving improvement roadmaps across vendors, cloud engineering teams, ISPs, and colocation partners.

Design and implement scalable Kubernetes control plane architectures (Cluster API, Operators, CRDs), optimize etcd, ensure secure multi-tenant API isolation, enable zero-downtime upgrades and multi-cluster federation, integrate with GPU orchestration, lead design reviews, mentor engineers, and drive platform reliability.

Design, deploy, and maintain CSI drivers and GPUDirect Storage integrations for high-performance file systems; implement NVMe caching and optimize IOPS/throughput/latency across containerized storage. Collaborate on RDMA/InfiniBand tuning, define Kubernetes storage policies and multi-tenancy isolation, implement monitoring/alerting, and mentor junior engineers.

Join an 18-month graduate/early-career program to build large-scale AI cloud infrastructure: GPU VMs, bare-metal, managed Kubernetes, distributed training and inference, AI Agent platforms, observability, networking, storage, and automation for global AI workloads.

Design, implement, and operate advanced batch and gang scheduling systems for large-scale AI/HPC clusters. Build admission control, queueing, topology-aware placement, DRA and custom scheduler plugins, and GPU-sharing/multi-tenancy solutions. Integrate scheduling with bare-metal hardware and storage, resolve contention and deadlocks, and mentor engineers to maintain scalable, reliable orchestration stacks.

Design and scale high-cardinality telemetry for AI datacenters: integrate hardware exporters into Kubernetes, build eBPF diagnostics, create alerting/dashboard pipelines, enable multi-tenant billing metrics, define observability standards, and lead architecture reviews and mentoring.

Build and maintain a NetDevOps automation platform: implement device drivers and APIs for multi-vendor equipment, deploy monitoring/observability with Prometheus/Grafana and streaming telemetry, develop IPAM APIs, integrate DCIM/CMDB, and create automated config deployment, change management, and backup/version control workflows.

Design, tune, and maintain GPU hardware and fabric integrations for containerized AI workloads. Optimize host networking (RDMA, SR-IOV, RoCEv2, InfiniBand), implement GPU slicing (MIG, vGPU), build DCGM-based remediation pipelines, profile kernel/driver/runtime (CUDA, NCCL), and collaborate with scheduling/storage teams. Lead investigations, enforce bare-metal provisioning and firmware/OS standards, mentor engineers, and document the AI hardware stack.

The Senior Legal Counsel will provide legal support for capital markets transactions, compliance with SEC regulations, M&A, and corporate governance at Bitdeer.

Manage financial control for a large-scale data center, overseeing CAPEX/OPEX, budgeting, compliance with accounting regulations, and cost analysis.

Lead global treasury front office: FX risk management and hedging, liquidity and cash optimization, bank relationship management, trade/project financing, TMS implementation, governance, and treasury advisory across jurisdictions.

Operate and monitor large-scale datacenter networks for AI workloads, lead incident response, troubleshoot GPU-cluster networking (jitter, NCCL throughput), manage tickets and change control, produce reports, and coordinate with R&D and customers.