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DiliTrust

DiliTrust - Engineering Manager

Paris - La Défense$24k - $24k2d ago
In OfficeStaffWWArtificial IntelligenceSoftwareEngineering ManagerNode.jsTypeScriptVue.jsB2BDockerPythonPostgreSQLMariaDBKubernetesTerraform

Requirements

• 8+ years of professional software engineering experience, with a significant portion spent building and operating B2B SaaS platforms in production • 3+ years managing an engineering team or squad in a product-oriented environment • Proven track record of owning technical decisions: architecture, scalability, code quality (not just managing the people making them) • Background at the intersection of AI or ML and product engineering: you know what it takes to go from a model capability to a production user experience • Proven ability to coordinate across multiple teams simultaneously (ML, product, engineering) • Fluent in French and English • Technical expertise : • Strong proficiency in Node.js / TypeScript and Vue.js 3 • Deep background in scalable web architectures and API design • Solid experience with LLM integration patterns in production (RAG, streaming, tool use, context management) • Comfortable with Docker, CI/CD pipelines, and DevOps practices in production • Leadership & collaboration : • Strong sense of ownership • Ability to build trust, create accountability, and grow engineers into senior roles • Excellent communication skills across technical and non-technical stakeholders • You see AI as a design question as much as an integration challenge, and bring that thinking into product conversations • You engage with the product, bring ideas to the table, and consider yourself a stakeholder in the solutions your squad ships • Backend: Node.js / TypeScript • Frontend: Vue.js 3 • AI/ML layer: Python, internal models, LLM connectors • Database: PostgreSQL, MariaDB • DevOps: Docker, Kubernetes, Terraform

Benefits

• Our "Remote Policy" guarantees that you can find the right balance between "Onsite" and "Remote"; • Last but not least, all the day-to-day benefits of the CSE, luncheon vouchers, profit sharing bonuses, etc... • Recruitment process : • Interview with TA team member (30/45 mins) • Interview with the Head of Engineering (1h) • Technical interview (1h30 mins) • Interview with the CTO (45 mins) • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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