Ai Ops Engineer Jobs

1 job found

21d ago

Software Engineer II - Marketing Technology

Home Depot / THD Atlanta, GA 🇺🇸 Remote

Atlanta, GA

21d ago

Full time Marketing AI Enablement Ai Ops

Apply Now

Job Description

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

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

View full job page →

Get Ai Ops Engineer Jobs alerts

New Ai Ops Engineer Jobs, daily.