Software Engineer II

🕒 Junho 25

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The Home Depot

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1978

🏗️ Construção

📦 Logística

🛒 Varejo

💰 Debt Financing em 2007-07

Construction • Logistics • Retail

A Home Depot é um dos principais varejistas de melhoria do lar, oferecendo uma ampla variedade de materiais de construção, produtos para melhoria do lar, artigos para jardim e relacionados. A empresa opera tanto em lojas físicas quanto em uma plataforma online, fornecendo soluções abrangentes para entusiastas de DIY, empreiteiros profissionais e proprietários de imóveis. A Home Depot está comprometida com a diversidade, equidade e inclusão, proporcionando oportunidades de emprego e benefícios a uma força de trabalho diversificada. Além disso, a empresa dá grande ênfase ao atendimento ao cliente e ao engajamento dos colaboradores para manter sua posição como líder confiável no setor de melhoria de residências.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

• No travel required • Frequent opportunity to move about