Staff Platform Engineer — AI-Driven DevEx Leader

Ultimate VC List

France

Hybrid

EUR 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Equity
Lunch vouchers
Transport allowance
Healthcare insurance
RTT days
Gym membership
Sabbatical
Books on learning
Remote work hybrid
Team building events

Job summary

Malt is seeking a Senior/Staff platform leader to shape the long-term technical vision for our engineering platform, spanning backend, frontend, and cloud infrastructure. You will define architectures, champion agentic AI workflows, and drive platform-as-a-product with self-service tooling and clear guardrails.

You will directly contribute code on foundational components while mentoring engineers, raising engineering standards, and aligning teams across disciplines to deliver reliable, scalable

Qualifications

  • 15+ years of professional software engineering experience at Staff/Principal level.
  • Proven leadership in high-scale platform environments.
  • Strong proficiency in Kotlin or Java, GCP, and modern web frameworks.

Responsibilities

  • Define the long-term technical vision for Malt's engineering platform.
  • Architect foundations and agentic workflows across backend and frontend.
  • Deliver platform-as-a-product with self-service tools and robust guardrails.
  • Mentor senior engineers and drive high-quality engineering practices.
  • Collaborate across backend, frontend, and SRE leads to ensure reliability.

Skills

Leadership
Communication
Agentic AI workflows
Platform thinking
Problem solving

Tools

Kotlin
Java
GCP
Nuxt/VueJS
APIs

Job description

Malt is seeking a Senior/Staff platform leader to shape the long-term technical vision for our engineering platform, spanning backend, frontend, and cloud infrastructure. You will define architectures, champion agentic AI workflows, and drive platform-as-a-product with self-service tooling and clear guardrails.

You will directly contribute code on foundational components while mentoring engineers, raising engineering standards, and aligning teams across disciplines to deliver reliable, scalable

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