Senior Software Engineer – AI Infrastructure
6.0/10
Kraken
Not specified
Remote
senior
5 days ago
aicryptodevweb3RustML InfrastructureDistributed SystemsCloud-native InfrastructureMLOpsModel ServingPerformance OptimizationContainer Orchestration
AI Summary
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Description
What you'll do
- •Build reliable ML infrastructure and MLOps patterns for deployment, evaluation, and monitoring.
- •Define guardrails, observability, and failure handling for agent workflows.
- •Optimize latency, throughput, and cost.
- •Partner with the Agent Systems team to harden prototypes into production systems.
- •Contribute to foundational infrastructure decisions in a high-impact environment.
Requirements
- •5+ years of experience building and operating high-scale production systems.
- •Strong proficiency in Rust and systems-level programming.
- •Deep understanding of distributed systems, reliability engineering, and performance optimization.
- •Experience operating services serving millions of users or high-throughput workloads.
- •Familiarity with ML infrastructure, model serving, or MLOps in production environments.
- •Experience designing observability, monitoring, and failure recovery systems.
- •Strong collaboration skills working across infrastructure and applied engineering teams.
- •High ownership mindset in high-stakes production environment.
- •Experience building infrastructure for agent-based or LLM-powered systems.
- •Background in high-performance networking, async systems, or low-latency architectures.
- •Experience with container orchestration and cloud-native infrastructure.
- •Familiarity with evaluation frameworks and model performance monitoring at scale.
- •Experience working in fast-moving 0→1 or platform-building teams.
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