Senior Fullstack Engineer – AI-Native Platform
New
H
HiveMQ GmbHIndustrial AI Platform
GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Node.jsTypeScriptReactDevOpsAWS LambdaDistributed Systems
Requirements
- A strong software engineering background (5+ years) with hands-on experience architecting and delivering fullstack applications
- Production-level experience with AWS infrastructure — Lambda, DynamoDB, and related services
- Intuitive understanding of where things break at scale in AWS
- Worked extensively with AI coding agents and LLM-powered workflows, and know how to steer them effectively
- A DevOps-first mindset — built monitoring, alerting, and self-healing systems
- 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
- Excellent English communication skills
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.
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