Software Engineer Manager, AI/ML Platforms

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The Home Depot

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1978

🏗️ Construction

📦 Logistique

🛒 Commerce de détail

💰 Debt Financing en 2007-07

Construction • Logistics • Retail

The Home Depot est un leader dans la vente de détail dédiée à l'amélioration de l'habitat, offrant une large gamme de matériaux de construction, de produits pour l'amélioration de la maison, de produits pour le jardinage et de services associés. L'entreprise exploite à la fois des magasins physiques et une plateforme en ligne, fournissant des solutions complètes pour les amateurs de bricolage, les entrepreneurs professionnels et les propriétaires. The Home Depot s'engage en faveur de la diversité, de l'équité et de l'inclusion, offrant des opportunités d'emploi et des avantages à une main-d'œuvre diversifiée. De plus, l'entreprise accorde une grande importance au service client et à l'implication des employés pour maintenir sa position de leader de confiance dans le secteur de l'amélioration de l'habitat.

Description

• Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions • Documents, reviews and ensures that all quality and change control standards are met • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases • Works with vendors and partners for the successful implementation of critical tooling and platforms • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment • Evaluates new technologies for adoption across the enterprise • Participates in and leads review board sessions to drive consistency across the enterprise • Fields questions from engineers, product teams, or support teams • Monitors tools and participates in conversations to encourage collaboration across product teams • Provides application support for software running in production • Acts as a technical escalation point for the engineers on the team • Provides leadership, mentoring, and coaching to Software Engineers • Attracts, retains, and develops top talent to build a world class Software Engineering Team • Conducts annual and mid-year reviews by reviewing individual development plans and team feedback • Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests • Acts as a proponent of modern software development practices • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) • Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

🎯 Exigences

• 7-9 years of relevant work experience • Mastery of a modern programming language (preferably Java & Python) • Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale • Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines • Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms • Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance • Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes • Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases • Strong SQL skills and experience working with relational, NoSQL, and analytical data stores • Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms • Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques • Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred • Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality • Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness • Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues • Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions • Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals • Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity • Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment • Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes • Experience managing vendor relationships, third-party platforms, or external technology partners when needed.

🏖️ Avantages

• Health insurance • 401(k) matching • Paid time off • Remote work options