17 set - Milano
Jobtailor
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Aumenti le sue possibilità di ottenere un colloquio leggendo la seguente panoramica di questo ruolo prima di candidarsi.
- Own the target architecture and decide what to rebuild, retire, or scale
- Review and support AI Agents work across code review, test definition, and other SDLC tasks
- Build and run the team's AI layer for code generation, data and schema work, testing, documentation, and self-healing operations
- Lead technical design, refinement, development, and testing for a 2–3 person squad
- Run 1:1s, set objectives, give feedback, and drive senior engineers' career growth
- Align peers, product, and stakeholders across tribes on goals, dependencies, and trade-offs
- Represent the area in cross-R&D; initiatives and lead relevant initiatives
- Replace manual, repetitive engineering work with agentic solutions
- Treat the area as a product with documented interfaces, self-serve tooling, sandbox, and automated certification
- Remove impediments and provide insights supported by Agile/Lean metrics
Requirements
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- Expert-level command of API design (REST/GraphQL),
event-driven architecture, data pipelines, and cloud-native engineering on AWS
- Proven, hands-on application of AI/LLMs and agentic workflows to real production engineering problems, including designing guardrails, evaluation, and review processes
- Strong reliability and observability practice in high-volume, multi-tenant B2B SaaS
- Proven people management of a small senior team while still contributing technically
- Effective stakeholder communication
- Ability to lead cross-tribe initiatives and align others
- Ability to identify risks, analyze issues, triage quickly, distinguish signal from noise, and make independent decisions
- Coaching and enabling people without compromising execution and quality
Core Competencies
Demonstrates expert-level command of API Design, Event-Driven Architecture, and Cloud-Native Engineering on AWS, while effectively managing a small senior team and leading c
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