Software Engineer II

🕒 vor 1 Monat

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Lebenslauf hochladen

The Home Depot

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1978

🏗️ Bauwesen

📦 Logistik

🛒 Einzelhandel

💰 Debt Financing im 2007-07

Construction • Logistics • Retail

The Home Depot ist ein führender Baumarkt-Einzelhändler, der eine breite Palette von Baumaterialien, Heimwerkerprodukten, Rasen- und Gartenprodukten sowie damit verbundenen Dienstleistungen anbietet. Das Unternehmen betreibt sowohl physische Geschäfte als auch eine Online-Plattform und bietet umfassende Lösungen für Heimwerker-Enthusiasten, professionelle Auftragnehmer und Hausbesitzer an. The Home Depot setzt sich für Vielfalt, Gleichberechtigung und Inklusion ein und bietet Beschäftigungsmöglichkeiten und Vorteile für eine vielfältige Belegschaft. Darüber hinaus legt das Unternehmen großen Wert auf Kundenservice und Mitarbeiterengagement, um seine Position als vertrauenswürdiger Marktführer in der Heimwerkerbranche zu behaupten.

Beschreibung

• 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.

🎯 Anforderungen

• 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).

🏖️ Vorteile

• No travel required • Frequent opportunity to move about