Staff Engineer Platform
Malt is hiring a Staff Engineer Platform in Paris, France. Level rates it ; you can apply on Malt.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions AI agents among its tools and skills.
- Level classes it as a lead role.
- Malt has 28 other open roles on Level.
AI in this role
Key responsibilities
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Set the Long-Term Platform Tech Strategy: Define the 2–3 year technical vision and roadmap for Malt's engineering platform — backend, frontend — alongside platform leads, ensuring architectural consistency, security, and high reliability across all engineering squads. Agentic capabilities are a central pillar of that vision, not a side project.
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Architect Platform Foundations: Partner closely with Backend, Frontend, and SRE leads to design and build our company-wide platform foundations — from core shared infrastructure through to our agentic layer, consolidating existing POCs into unified, enterprise-grade capabilities.
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Pioneer Agentic DevEx Workflows: Prototype, scale, and embed autonomous AI agents into the software development lifecycle (e.g., agentic MR reviews, automated code quality, and security fixes) so product teams can focus strictly on core product logic.
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Deliver Platform-as-a-Product: Provide product engineers with self-service tools, reusable components, clear guardrails, and documentation making both our platform foundations and our autonomous workflows the natural, default way to ship software at Malt.
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Build, Hands-On: Contribute directly to the platform. You'll write production code on the systems you design: the hardest parts, the reference implementations, the things nobody else can unblock.
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Raise the Bar: Drive the adoption of best practices, coding standards, and high-quality engineering processes, including thorough code and architecture reviews. Foster operational excellence across the platform.
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Mentor and Coach: Provide technical guidance and mentorship to engineers across the platform team, particularly Senior and mid-level engineers, helping them develop their skills, master agentic patterns, and advance their careers.
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Drive Technical Alignment & Change Management: Act as a technical catalyst, influencing and aligning backend, frontend, and engineering leads around transformative AI agent paradigms without relying on top-down authority.
About you
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Technical Expertise: You have 15+ years of professional experience in software engineering, including a proven track record operating at a Staff or Principal level in high-scale platform environments. You're highly proficient in Kotlin or Java, comfortable across GCP and modern web frameworks (e.g. Nuxt/VueJS), and at ease navigating complex backend architecture, APIs, and data models.
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AI-Driven Innovator: Passionate about AI topics, you regularly keep up to date with the latest developments. You have already built product-grade agentic workflows within the software development lifecycle: systems engineers rely on daily to review, test, or ship code, not demos or POCs.
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Clear leadership: You excel at working effectively in uncertain and evolving environments, managing the interaction between technical objectives and business priorities.
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Platform as a Product Mindset: You think beyond the code. Your product is the developer experience: you're curious about the "why" behind the workflows, core components you build, proactive in proposing improvements, and you own delivery from A to Z: including the adoption, not just the architecture.
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Resourceful: You always find a way of getting things done, even under severe staffing constraints.
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Impactful: You demonstrate excellent ownership and problem-solving skills, with a high degree of agency in driving solutions.
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Strong interpersonal abilities: You possess excellent written and oral communication skills in English (French is a valuable bonus).
How to join the mission?
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Initial Screening Call (45m): First exchange with Luke Singh or Alexandre Hidasi (Tech & Product Recruiters) to explore your background, career aspirations, and answer any initial questions.
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Manager Interview (60m): Deep dive into your technical background, domain experience, and alignment with Anaïs Ghelfi (Hiring Manager & Engineering Director).
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Technical Business Case & Debrief (2h): Practical architecture exercise and debrief with Staff Engineers to evaluate your systems design and agentic architecture mastery.
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Executive & Culture Fit Interview (2h): Final conversation with Claire (CTO) to discuss Malt’s long-term vision, followed by an informal coffee chat with Raphaël Ouazana & Pierre Reynaud.
How we rate this
Staff Engineer Platform at Malt rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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