Software Engineer Manager (Remote)

The Home Depot•GEORGIA - VIRTUAL - GA01, GA

16h•$140,000 - $240,000•Remote

About The Position

As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Mastery of an object oriented programming language (preferably Java)
Mastery of a modern programming language (preferably java & Python)
Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale
Experience working with or integrating AI/ML models and data-driven systems
Experience with retail pricing systems, promotions, or price optimization platforms
Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js
Mastery of writing SQL queries against a relational database and No SQL databases
Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness.
Experience managing large-scale solution delivery in highly matrixed and cross-functional environments.
Mastery of modern product development processes and pipelines
Proficient in effective troubleshooting and issue resolution techniques
Proficient in effective system monitoring and log analysis techniques
Capable of understanding complicated systems quickly
Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting
Experience managing and growing team members in a professional setting
Experience balancing workloads across teams
Experience managing vendor relationships
Experience with translating high level strategy to tactical execution
Experience building and scaling distributed, high-availability systems
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Nice To Haves

Mastery of an object oriented programming language (preferably Java)
Mastery of a modern programming language (preferably java & Python)
Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale
Experience working with or integrating AI/ML models and data-driven systems
Experience with retail pricing systems, promotions, or price optimization platforms
Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js
Mastery of writing SQL queries against a relational database and No SQL databases
Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness.
Experience managing large-scale solution delivery in highly matrixed and cross-functional environments.
Mastery of modern product development processes and pipelines
Proficient in effective troubleshooting and issue resolution techniques
Proficient in effective system monitoring and log analysis techniques
Capable of understanding complicated systems quickly
Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting
Experience managing and growing team members in a professional setting
Experience balancing workloads across teams
Experience managing vendor relationships
Experience with translating high level strategy to tactical execution
Experience building and scaling distributed, high-availability systems

Responsibilities

Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
Drives strategic technical decisions and influences architecture to build highly scalable, performant, and resilient systems
Designs and implements solutions incorporating AI/ML capabilities to improve automation, forecasting, and business outcomes
Builds and enhances systems supporting retail pricing, promotions, and optimization, ensuring accuracy, scalability, and performance
Documents, reviews and ensures that all quality and change control standards are met
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
Works with vendors and partners for the successful implementation of critical tooling and platforms
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
Evaluates new technologies, including AI/ML platforms and tools, for adoption across the enterprise
Participates in and leads review board sessions to drive consistency across the enterprise
Fills in on product teams for engineers who are out of the office
Fields questions from business, engineers, product teams, or support teams
Monitors tools and participates in conversations to encourage collaboration across product teams
Provides application support for software running in production
Acts as a technical escalation point for the engineers on the team, especially for complex system and pricing-related issues
Provides leadership, mentoring, and coaching to Software Engineers
Actively develops team capabilities in modern engineering practices, AI/ML adoption, and system design
Attracts, retains, and develops top talent to build a world class Software Engineering Team
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
Acts as a proponent of modern software development practices and data-driven decision-making
Guides team members in strategic thinking, alignment, analysis, and execution tasks within and across product teams
Builds a culture of continuous learning, innovation, and engineering excellence focused on scalable systems
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems
Stays current with advancements in AI/ML, retail pricing technologies, and large-scale distributed systems