Staff MaaS Backend Engineer
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, SEALMINER mining equipment, cloud mining, AI cloud infrastructure, high-performance computing, and data-center services. Its customers include miners, developers, AI and machine-learning users, and institutional customers.
Funding history
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About Bitdeer Technologies Group
Bitdeer Technologies Group operates across Bitcoin mining, AI cloud, and data-center infrastructure. Its offerings include proprietary SEALMINER equipment, Minerbase cooling systems, cloud-mining plans, co-mining services, mining-farm management tools, and mobile apps. The company also provides GPU-based AI and high-performance computing services for model training and deployment, as well as turnkey AI data-center solutions. Bitdeer is headquartered in Singapore and operates globally, with major operations in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will co-own the architecture and implementation of a globally distributed Model-as-a-Service platform. You will develop Go services and compatible APIs, optimize model serving performance, manage Kubernetes-based deployments, enforce multi-tenant security, build accurate token metering and billing, execute safe migrations, and own reliability, observability, SLOs, and on-call operations.
Requirements
- 8+ years of backend engineering experience.
- 3+ years owning a high-traffic multi-tenant API platform for paying customers.
- Experience with multi-region active-active systems caching backpressure and performance engineering.
- Experience with zero-downtime migrations for stateful metering or ledger systems.
- Deep proficiency with Go-based services.
- Production Kubernetes experience including Envoy and GPU-aware scheduling.
- Experience with PostgreSQL Redis and Kafka.
- Experience with OpenTelemetry and high-cardinality analytics stores.
- Understanding of LLM serving including server-sent events KV caching and throughput optimization.
- Experience building exactly-once metering and billing systems.
- Experience designing fail-closed authorization and cross-tenant isolation.
- Experience with on-call operations and incident reviews.
Responsibilities
- Co-own the end-to-end MaaS system design and document technical decisions.
- Set Go and API standards and mentor engineers.
- Own OpenAI and Anthropic API compatibility including streaming tool calling and structured output.
- Develop intelligent routing with circuit breaking fallback and versioned APIs.
- Optimize token throughput KV caching and time-to-first-token latency.
- Integrate model deployment tooling LoRA multiplexing and autoscaling with Kubernetes.
- Scale regional inference pools and active-active control planes.
- Define and defend service level objectives and run load tests.
- Implement fail-closed authorization multi-tenant isolation rate limits quotas and abuse controls.
- Manage API keys and OAuth credentials.
- Build exactly-once token metering usage ledgers and billing reconciliation.
- Execute incremental migrations using shadow traffic and dual writes.
- Deliver request tracing cost telemetry and strict log hygiene.
