Staff MaaS Backend Engineer

🔥 0 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bitdeer Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏗️ Construction

💰 Post-IPO Equity on 2023-05

Consulting • Logistics • Construction

Bitdeer Group is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders and suppliers of hash rate, offering specialized mining infrastructure and high-quality hash rate sharing products. Founded by cryptocurrency pioneer Jihan Wu and led by CEO Matt Linghui Kong, the company is headquartered in Singapore with mining datacenters in the United States, Norway, and Bhutan. Bitdeer is committed to providing comprehensive computing solutions, including cloud services and AI capabilities, while emphasizing dedication, authenticity, and trustworthiness in its mission to be the most reliable provider in the industry.

📋 Description

• Co-own end-to-end MaaS system design with the Principal Architect • Author decision records and defend technical trade-offs • Drive the platform maturity roadmap through operable, measurable, independently shippable capabilities • Set Go and API standards, mentor engineers, and align cross-functional teams • Own wire compatibility for OpenAI and Anthropic formats, including streaming, tool calling, and structured output • Evolve routing with load-aware, model-aware, and prefix-cache-aware endpoint selection, circuit breaking, and fallback mechanisms • Manage API versioning and deprecation contracts • Optimize token throughput, KV cache tiering, and p95/p99 TTFT latency • Integrate deployment tooling, LoRA multiplexing, and cold-start-aware autoscaling with Kubernetes • Scale to regional inference pools, capacity-aware failovers, and an active-active control plane • Define and defend Service Level Objectives • Conduct peak-concurrency load testing, maintain on-call runbooks, and implement load shedding • Enforce authorization, tenant isolation, zero-retention data paths, API key and OAuth credential lifecycle, distributed rate limits and quotas, and abuse/prompt-injection controls • Build idempotent exactly-once token metering and a high-volume usage ledger with prepaid spend caps and invoice reconciliation • Execute incremental zero-regression migrations using strangler replacements, shadow traffic, and stateful dual-writes • Deliver request tracing and cost telemetry with internal token and quality-attribute schemas • Ensure prompts, completions, and PII are not retained outside explicit consented policies • Own implementation end to end, including code, migrations, SLOs, and on-call for a revenue-bearing service

🎯 Requirements

• 8+ years of backend engineering experience • 3+ years owning a high-traffic, multi-tenant API platform for paying customers • Ability to collaborate closely with architects and write rigorous design documents • Expertise in multi-region active-active distributed systems, caching, backpressure, and performance engineering • Proven track record of zero-downtime brownfield migrations for stateful subsystems without regressions or accounting gaps • Deep hands-on proficiency with Go-based services • Production Kubernetes experience, including Envoy and GPU-aware scheduling • Knowledge of PostgreSQL, Redis, and Kafka architectural trade-offs • Experience owning end-to-end observability strategies using OpenTelemetry and high-cardinality analytics stores • Systems-level understanding of LLM serving, including server-sent-event streaming, KV/prefix caching, and TTFT/throughput trade-offs • Experience building reliable exactly-once metering and billing systems reconciling billions of events under partial failures • Ability to enforce fail-closed authorization, verified identities, and cross-tenant isolation • Operational maturity including on-call responsibilities and blameless incident reviews

🏖️ Benefits

• Equal employment opportunities in accordance with country, state, and local laws • Remote work within San Jose, CA or Austin, TX location options