Principal Engineer – Talent Pipeline

🕒 il y a 1 mois

🇨🇦 Canada – Télétravail

💵 $170 000 - $220 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 6%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Apply Digital

Apply Digital

501 - 1000 employés

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

Apply Digital est un partenaire en transformation numérique qui aide les entreprises à générer un impact à travers la stratégie, les produits, les plateformes, le commerce et l'innovation. L'entreprise se spécialise dans la stratégie de transformation d'entreprise, la R&D via leur Laboratoire, et offre divers services incluant la stratégie et la recherche, le design d'expérience, le conseil technologique, l'ingénierie, l'intelligence des données, et les services gérés. Apply Digital a collaboré avec de grands clients tels que Kraft Heinz et Games Workshop, en se concentrant sur le renforcement des expériences numériques et des plateformes d'e-commerce à travers plusieurs pays. Avec une présence mondiale, Apply Digital met en avant la valeur de la diversité et des différences culturelles au sein de son équipe pour offrir des résultats exceptionnels aux clients.

Description

• Envision and architect end-to-end solutions for complex, enterprise-scale projects across frontend, backend services, APIs, data pipelines, and cloud infrastructure • Provide technical direction across the full stack and align solutions with business objectives • Design and implement scalable, secure, maintainable, API-first, cloud-native, and composable systems • Own technical decisions covering UI architecture, service design, data modelling, and infrastructure configuration • Translate backlog requirements into spec-driven requirements for autonomous coding agents • Synthesize user stories, site maps, content strategy, design systems, and brand strategy into development specifications • Architect solutions integrating LLM APIs, RAG pipelines, and agent orchestration frameworks • Integrate AI-powered APIs, LLM-driven features, RAG experiences, and AI-assisted developer workflows • Design microservices, APIs, composable architectures, backend services, data pipelines, and integrations • Implement design systems, content models, component libraries, and supporting backend services • Ensure performance, observability, caching, and data integrity across system layers • Use containerization, orchestration, serverless patterns, and infrastructure-as-code where appropriate • Shape engineering culture and standards across teams and practices • Mentor engineers on architecture, spec-driven development, AI-assisted workflows, and engineering craft • Collaborate with Technology Directors, Engineering Managers, Product, UX, project managers, clients, and cross-functional stakeholders • Manage delivery risks, timelines, and expectations with project managers and clients • Communicate complex technical and AI concepts to technical and non-technical audiences • Participate in short FDAIC engagements to identify client growth opportunities while delivering near-term goals

🎯 Exigences

• 10+ years of full-stack software engineering experience with Staff or Lead-level technical leadership • Proficiency in TypeScript and modern JavaScript • Hands-on experience with React, Next.js, and Node.js or similar runtimes • Ability to design, build, and maintain RESTful and/or GraphQL APIs and backend services • Experience with relational and/or NoSQL databases, schema design, query optimization, and data modelling • Deep understanding of API design, microservices, cloud-native architectures, and MACH/headless composable systems • Extensive cloud-platform experience; GCP preferred, AWS or Azure valued • Experience with Docker, Kubernetes, and serverless computing • Familiarity with Git, CI/CD workflows, and production deployment practices • Strong system-design fundamentals covering API contracts, data flow, caching, authentication, and performance optimization • Hands-on production experience with AI coding agents such as Claude Code or GitHub Copilot • Strong prompt-engineering skills and ability to write agent specifications • Demonstrated real-world application-development experience with LLMs such as Claude Opus, Gemini, or GPT-4/5 • Experience with vector stores and RAG-powered applications • Experience with Agent Development Kits such as Google ADK or similar orchestration frameworks • Familiarity with Vertex AI, Google Gen AI APIs, or equivalent tooling • Genuine curiosity and passion for Generative AI • Track record leading complex enterprise-scale software projects with high autonomy • Ability to mentor engineers, resolve technical conflicts, and drive alignment • Exceptional written and verbal communication skills • Strategic problem-solving ability and comfort translating ambiguous goals into technical direction • Experience working effectively in fully remote, distributed teams • Background in consultancy or professional services strongly preferred

🏖️ Avantages

• Modern tools, systems and approaches • Agentic Delivery work across engagements with international brands • Inclusive and safe work environment • Generous training budgets and mentorship focused on Agentic AI and human skills • Flexible personal time off (PTO) • Customizable extended health and dental plan • Flexible work arrangements, including remote, in-office, or blended work • Equal opportunity and inclusive workplace commitments

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