HiveMQ GmbH - Senior AI Fullstack Engineer – Cloud Applications
Requirements
• 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. • EXCERPT FROM OUR CUSTOMER LIST • https://www.hivemq.com/customers/
Responsibilities
• 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.
Benefits
• The salary range reflects variations in location and experience. Final compensation will depend on individual qualifications and market factors. • HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling global leaders like Audi, BMW, Eli Lilly, and Siemens to operationalize AI and drive innovation at scale. • At HiveMQ, our culture is Effortless → Empowered → Relentless. We make the complex simple, act with confidence and ownership, and never stop pushing the boundaries of what’s possible. Join us to power the future of intelligent industry. • HiveMQ’s Vision for this role • We aren't just using AI to help us code; we are an AI-native engineering organization. Our next major milestone is architecting a swarm of autonomous coding bees - specialized agents designed to handle end-to-end feature delivery, from infra provisioning to self-correction. • We need an engineer who can define the hive's architecture, the pollination patterns (data flow), and the rigorous guardrails that allow these agents to build - and run - at scale.
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