Software Engineer II - Marketing Technology

Based in Atlanta with remote options, the Software Engineer II in Home Depot's TechOps organization focuses on application stability, proactive readiness, and AI-driven incident management across core marketing and IT ecosystems. This role designs AI-enabled solutions, leads onboarding and training, and translates support telemetry into actionable insights to ensure day-one stakeholder success.

Responsibilities

• Intelligent Automation and AI Ops: Collaborates on designing and deploying AI-enabled solutions and ML models to enhance proactive anomaly detection, automate root-cause analysis, and support self-healing incident resolution.
• Centralized Support and Incident Triage: Oversees the primary L1-L3 intake pipeline to triage, troubleshoot, and remediate advanced application tickets, reducing MTTR and shielding stakeholders from complex platform errors.
• Application Health and Defensive QA: Works with core engineering to build health validation pipelines and monitors data flows to identify data-mapping anomalies before they impact downstream execution.
• Launch Readiness and Technical Documentation: Serves as the onboarding partner for new IT capabilities, producing system diagrams, data dictionaries, job schedules, and API mappings to ensure day-one platform supportability.
• Technical Product Training and Onboarding: Leads creation and delivery of technical product training to onboard new teams, focusing on UI navigation, deep configuration rules, and platform capabilities.
• Lifecycle Optimization and Support Telemetry: Conducts blameless post-mortems and converts support telemetry into actionable engineering backlogs to drive permanent platform improvements and monitor product-level SLOs.
• Automation and Scripting: Develops custom code, scripts, and automated ticketing paths to streamline workflows, optimize event monitoring, and coordinate backend routing between IT and business teams.
• Advanced Platform Operation: Configures and tunes complex homegrown tools, data products, and third-party solutions where self-service capabilities are unavailable.
• Professional Growth: Seeks opportunities to grow through formal and informal development channels, learning from both successes and failures when addressing new problems.
• Collaborative Execution: Partners with teammates in agile processes, contributes to better ways for the team to succeed, and builds effective relationships across diverse groups to achieve shared objectives.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Technologies

• Java
• Python
• Bash
• SQL
• NoSQL
• Git
• Splunk
• Datadog
• New Relic
• Dynatrace
• Jira Service Management
• ServiceNow

Direct Manager / Direct Reports

This position typically reports to a Software Engineer Manager or Senior Manager and has zero direct reports.

Travel Requirements

No travel required.

Physical Requirements

Primarily sedentary with frequent opportunities to move; occasional light lifting may be required.

Working Conditions

Operates in a comfortable indoor environment; any adverse conditions are infrequent and not objectionable.

Minimum Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications

• 1-3 years of relevant work experience in a DevOps, SRE, TechOps, or Production Support Engineering role.
• Experience with an object-oriented programming language (preferably Java) alongside scripting languages for automation and AI (preferably Python or Bash).
• Proficiency in modern debugging, root cause analysis, and log analysis techniques.
• Experience with cloud infrastructure and CI/CD pipelines.
• Ability to write complex SQL queries and work with Relational or NoSQL databases.
• Experience with monitoring, logging, and observability tools (Splunk, Datadog, New Relic, Dynatrace) for event monitoring and proactive alerting.
• Exposure to AI/ML-driven automation or intelligent anomaly detection (AIOps).
• Understanding of data engineering concepts, data pipelines, and debugging data-mapping architectures.
• Experience with enterprise ticketing platforms (Jira Service Management, ServiceNow) and automated ticket routing or system APIs.
• Experience creating technical documentation, infrastructure diagrams, data dictionaries, or delivering end-user training.
• Exposure to security frameworks for user authorization, authentication, and access control.
• Experience with functional, integration, and resilience testing.
• Experience with Git or equivalent source control.

Minimum Education

The knowledge, skills and abilities typically gained through a bachelor’s degree or equivalent in a related field.

Preferred Education

No additional education

Minimum Years of Work Experience

2

Preferred Years of Work Experience

No additional years of experience

Minimum Leadership Experience

None

Preferred Leadership Experience

None

Certifications

None

Competencies

• Global Perspective
• Manages Ambiguity
• Nimble Learning
• Self-Development
• Collaborates
• Cultivates Innovation
• Situational Adaptability
• Communicates Effectively
• Drives Results
• Interpersonal Savvy