Software Engineer II

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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

• Helps design, build, and implement AI-driven solutions and machine learning models to enhance proactive anomaly detection, automate root-cause analysis, and enable seamless, self-healing issue resolution. • Manage the primary L1/L2/L3 centralized intake bus to triage, troubleshoot, and remediate advanced application-level support tickets, minimizing MTTR and shielding stakeholders from complex platform errors. • Partners with core engineering to build application-specific health validation pipelines and monitors active data flows to isolate and resolve data-mapping anomalies before they impact downstream execution. • Serves as the operational onboarding partner for new IT capabilities, developing critical technical documentation—including system diagrams, data dictionaries, job schedules, and API mappings—to guarantee day-one platform supportability. • Leads the creation and delivery of technical product training (tool mechanics) to onboard new teams, focusing on user interface navigation, deep configuration rules, and platform capabilities. • Conducts blameless post-mortems and transforms support ticketing telemetry into actionable engineering backlogs to drive permanent platform improvements and track product-level Service Level Objectives (SLOs). • Writes custom code, scripts, and automated ticketing paths to streamline workflows, optimize event monitoring, and manage backend cross-platform routing protocols between IT and business teams. • Directly operates, configures, and tunes complex homegrown tools, data products, and commercial off-the-shelf solutions where business self-service capabilities are unavailable.

🎯 Exigences

• Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • 1-3 years of relevant work experience in a DevOps, SRE, TechOps, or Production Support Engineering role. • Experience in an object-oriented programming language (preferably Java) alongside scripting languages used for automation and AI implementation (preferably Python or Bash). • Experience with modern debugging, root cause analysis, and log analysis techniques. • Experience with cloud computing infrastructure and CI/CD deployment pipelines. • Experience writing complex SQL queries and working with Relational or NoSQL database technologies. • Experience with application monitoring, logging, and observability tools (e.g., Splunk, Datadog, New Relic, or Dynatrace) to manage event monitoring and proactive alerting. • Exposure to building or implementing AI/ML-driven automation solutions or intelligent anomaly detection tools (AIOps). • Exposure to data engineering concepts, data pipelines, and debugging data-mapping architectures. • Exposure to enterprise ticketing platforms (e.g., Jira Service Management, ServiceNow) and managing automated ticket routing paths or system APIs. • Exposure to creating technical documentation, infrastructure diagrams, data dictionaries, or delivering technical training to end-users. • Exposure to security frameworks for user authorization, authentication, and access protocols. • Exposure to executing functional, integration, and destructive resilience testing. • Experience with source code version control systems (e.g., Git).

🏖️ Avantages

• No travel required • Frequent opportunity to move about