Billing Analyst - Managed K8s at Bitdeer Technologies Group in Singapore; Penang

Job description

About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence. Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. About the role We are seeking a Billing Analyst to own the correctness of usage-to-invoice accounting for our multi-tenant GPU cloud, sitting at the intersection of finance, product, and the AI Cloud Kubernetes engineering team. As GPU capacity scales across regions, GPU types, commitment tiers, and spot/on-demand pricing, the SKU matrix behind our billing grows more complex faster than any spreadsheet can track cleanly, and every unresolved discrepancy is a customer-facing dollar amount. This role designs and maintains the pricing models that translate raw platform usage into billable line items, reconciles metered consumption against generated billing statements to catch drift before it reaches a customer invoice, and administers GPU-fault credits — determining and applying the correct credit when GPU hardware or host failures interrupt billed usage. The work requires fluency in how usage events flow from the Kubernetes platform's metering pipeline through rating and aggregation into the ledger, without requiring the person to build that pipeline. You will work with engineering to specify metering requirements and validate outputs, with finance to define pricing and credit policy, and with product to model new SKUs as GPU offerings evolve. This is a domain-analyst role, not a software engineering role, but one where analytical rigor and fluency with usage data at scale are non-negotiable. What you will be responsible for: Pricing Model Design : Design and maintain pricing models across the full GPU SKU matrix — GPU type, region, commitment tier, and spot versus on-demand — ensuring every combination maps to a correct, unambiguous rate. Model new pricing structures such as tiered discounts, commitment-based rates, and burst pricing as new GPU offerings and contract types launch. Translate commercial pricing decisions from product and finance into rules the metering and billing systems can execute without ambiguity. Metering and Usage Analysis : Analyze usage data emitted by the platform's metering pipeline — GPU-hours, node-hours, storage, network egress — to validate that recorded consumption matches actual customer activity across clusters and namespaces. Define the metering requirements engineering must capture, including granularity, tagging, and timestamps, so usage attributes correctly to the right tenant, SKU, and billing period. Flag metering coverage gaps, such as partial-hour billing or multi-GPU pod scheduling, before they surface as invoice disputes. Billing Reconciliation : Reconcile metered usage against generated billing statements and payment records line by line, isolating drift caused by rating errors, pricing misconfigurations, timing mismatches, or metering gaps. Build and maintain reconciliation processes that catch discrepancies before invoices go out, and drive root-cause investigations with engineering when drift recurs. Maintain an auditable trail from raw usage event to final invoice line for every disputed or high-value account. GPU-Fault Credit Administration : Administer the GPU-fault credit process end to end — determining eligibility when hardware or host failures interrupt billed usage,