ou will…

• Design and evolve the architecture of our autonomous agent swarm — defining agent boundaries, data flows, and the feedback loops that allow bees to self-correct and deliver features end-to-end.
• Build and own the infrastructure that powers our AI-native pipeline, including several AWS services like Lambda functions, DynamoDB, SNS/SQS.
• Lead with rigorous technical specs — if the logic isn't in the spec, it doesn't exist — translating complex product requirements into precise, agentic-ready designs that serve as the single source of truth for AI-powered implementation.
• Steer and evaluate coding agents and LLM models, reviewing their output against a high-quality mental model to ensure correctness, performance, and security.
• Extend and maintain our TypeScript/Fastify backend and React micro-frontend architecture, improving observability, reliability, and test coverage across the stack.
• Define and enforce guardrails, monitoring systems, and self-healing mechanisms that keep autonomous agents operating safely in production.
• Collaborate with Engineering and Product leadership to shape the long-term vision of AI-native development at HiveMQ.
• Stay at the forefront of AI tooling, agent frameworks, and LLM capabilities, continuously refining how the hive thinks and builds.
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You have…

• A strong software engineering background (5+ years) with hands-on experience architecting and delivering fullstack applications in TypeScript, Node.js, and React.
• Production-level experience with AWS infrastructure — Lambda, DynamoDB, and related services — including an intuitive understanding of where things break at scale.
• Worked extensively with AI coding agents and LLM-powered workflows, and know how to steer them effectively rather than just prompt them.
• A DevOps-first mindset — you've built the monitoring, alerting, and self-healing systems that keep production environments healthy without constant human intervention.
• Solid architectural skills around bounded contexts, idempotent design, decoupled micro-frontends, and distributed systems.
• The ability to translate ambiguous product goals into precise, agentic-ready technical specs with no room for misinterpretation.
• A high sense of ownership and agency — you proactively identify bottlenecks, propose solutions, and follow through without being prompted.
• Excellent English communication skills and the ability to collaborate effectively across engineering, product, and leadership in a remote-first environment.
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