Principal Engineer

Jobtailor

Milano

In loco

EUR 90.000 - 130.000

Tempo pieno

10 giorni fa
Generatore di candidature

Trasforma questa candidatura in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò questo datore di lavoro sta cercando.

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Descrizione del lavoro

Jobtailor is seeking a senior engineering leader in Milan to own target architecture, drive cross-tribe initiatives, and deliver agentic workflows across SDLC tasks. You will guide a small senior team, align stakeholders, and champion reliability and observability in a multi-tenant B2B SaaS environment.

You will apply AI/LLMs to production engineering challenges, design guardrails, and ensure scalable, self-serve tooling with measurable Agile metrics.

Competenze

  • Expertise in API design (REST/GraphQL) and event-driven systems for scalable SaaS.
  • Hands-on use of AI/LLMs to build agentic workflows in production settings.
  • Strong reliability and observability practices in high-volume multi-tenant SaaS.

Mansioni

  • 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.

Conoscenze

API Design
Event-Driven Architecture
Cloud-Native Engineering on AWS
AI/LLMs Application
People Management
Stakeholder Communication
Cross-Tribe Leadership
Decision-Making
Risk Analysis
Team Leadership
Coaching

Strumenti

AWS
B2B SaaS
Agile Methodologies
Lean Practices
Self-Serve Tooling

Descrizione del lavoro

  • 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
  • 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 cross-tribe initiatives. Proficient in applying AI/LLMs to production engineering challenges and ensuring reliability and observability in high-volume B2B SaaS environments.

Highest-signal resume keywords
  • API Design (REST/GraphQL)
  • Event-Driven Architecture
  • Cloud-Native Engineering on AWS
  • AI/LLMs Application
  • People Management
ATS Optimization Keywords
Hard Skills
  • API Design
  • Event-Driven Architecture
  • Data Pipelines
  • Cloud-Native Engineering
  • AI/LLMs
  • Reliability Practices
  • Observability Practices
  • Agile Metrics
  • Technical Design
  • Testing
Soft Skills
  • Effective Stakeholder Communication
  • Coaching
  • Decision-Making
  • Risk Analysis
  • Team Leadership
Industry Keywords
  • Multi-Tenant Architecture
  • Cross-R&D Initiatives
  • Code Review
  • Test Definition
  • Self-Healing Operations
Tools & Technologies
  • AWS
  • B2B SaaS
  • Agile Methodologies
  • Lean Practices
  • Self-Serve Tooling
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