Senior MaaS Backend Engineer (AI)

Location: Singapore, SG

Company

hirify.global is a technology company providing Bitcoin mining solutions, ASIC infrastructure, datacenter operations, and AI cloud capabilities.

What you will do

• Co-own the end-to-end MaaS platform architecture, document technical decisions, set Go and API standards, and mentor engineers.
• Build and evolve inference gateways supporting OpenAI and Anthropic compatibility, streaming, tool calling, structured output, routing, fallbacks, and API versioning.
• Optimize token throughput, KV and prefix caching, time-to-first-token latency, model serving, LoRA multiplexing, and Kubernetes-based autoscaling.
• Scale regional inference pools and active-active control planes with capacity-aware failover, load shedding, load testing, SLOs, and operational runbooks.
• Implement multi-tenant isolation, fail-closed authorization, API key and OAuth lifecycle management, quotas, rate limits, abuse controls, and zero-retention data paths.
• Build exactly-once token metering, usage ledgers, billing reconciliation, migration tooling, distributed tracing, and cost telemetry.

Requirements

• 8+ years of backend engineering experience, including 3+ years owning a high-traffic, multi-tenant API platform for paying customers.
• Deep experience with Go services, production Kubernetes, Envoy, GPU-aware scheduling, PostgreSQL, Redis, and Kafka.
• Proven expertise in multi-region active-active systems, caching, backpressure, performance engineering, and zero-downtime migrations of stateful subsystems.
• Hands-on understanding of LLM serving, server-sent-event streaming, KV and prefix caching, TTFT, throughput, and model lifecycle management.
• Experience with OpenTelemetry, high-cardinality analytics stores, exactly-once metering, billing reconciliation, and partial-failure scenarios.
• Ability to design strict security and tenant-isolation controls, participate in on-call rotations, and conduct blameless incident reviews.

Culture & Benefits

• Inclusive environment valuing authenticity and diverse perspectives.
• Startup spirit within a fast-growing digital asset and AI technology company.
• Personal accountability, autonomy, and opportunities to contribute to new systems and projects.
• Training, mentoring, developmental opportunities, and welfare benefits.