Home Depot
Position Purpose
As a Software Engineer Manager, you will be responsible for managing a team of software engineers that develops software specifically for Warehouse Execution Systems (WES) and/or Warehouse Management Systems (WMS). This includes working on logic and execution related to conveyor routing, sortation, order streaming, goods-to-person, and task and labor optimization, ensuring effective integration between the two systems to enhance operational efficiency. You will have the opportunity to contribute to the products we create and help grow the next generation of engineering talent. In addition, you will be given the chance to work with our most strategic warehouse automation vendors to ensure that 3rd party tools and applications are readily available to all product teams that are interested in using them.
Key Responsibilities 30% Delivery & Execution:
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
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 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
Leverages Agentic AI approaches to build autonomous workflows that improve warehouse efficiency, such as dynamic task allocation, order streaming, routing, and labor optimization.
10% Support & Enablement:
Fields questions from 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
50% People:
Provides leadership, mentoring, and coaching to Software Engineers
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
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
10% Learning:
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
Direct Manager/Direct Reports
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.
Travel Requirements
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications
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)
Must be legally permitted to work in the United States
Preferred Qualifications
5-7 years of relevant work experience
Has a deep understanding of warehousing and logistics, and understands how their software impacts the performance and processes of the warehouse operations team.
Experience working with and communicating with PLCs
Experience developing conveyor control systems, routing systems, sortation systems, merge systems, goods to person systems, order streaming/work release systems, and warehouse execution systems
Experience working with conveyor components such as motors, photo eyes, scanners and scan tunnels, inline tapers, inline print and apply systems, inline scales, goods to person systems, palletizers and depalletizers, robotic arms, etc.
Experience applying Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel) to orchestrate multi-step, autonomous workflows.
Knowledge of reinforcement learning, planning algorithms, or autonomous agents for optimization in dynamic environments.
Experience leading teams building AI copilots or autonomous task agents that improve engineering productivity or operational throughput.
Experience in Warehouse Management Systems, leading teams to complete greenfield installations, upgrades, and enhancements for mechanized distribution centers.
Mastery of cloud computing preferably on GCP.
Mastery of a modern scripting language (preferably Python)
Mastery of a modern web application framework such as Spring MVC, and Node.js
Mastery of writing SQL queries against a relational database
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
Minimum Education
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.
Preferred Education
No additional education
Minimum Years of Work Experience
5
Preferred Years of Work Experience
No additional years of experience
Minimum Leadership Experience
None
Preferred Leadership Experience
None
Certifications
None
Competencies
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Develops Talent: Developing people to meet both their career goals and the organization's goals
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
AI & Automation Mindset: Skilled at identifying opportunities to apply autonomous AI agents for process optimization, system reliability, and workforce enablement.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Apply End Date: 10/31/2025
$140,000.00 - $240,000.00
#J-18808-Ljbffr
As a Software Engineer Manager, you will be responsible for managing a team of software engineers that develops software specifically for Warehouse Execution Systems (WES) and/or Warehouse Management Systems (WMS). This includes working on logic and execution related to conveyor routing, sortation, order streaming, goods-to-person, and task and labor optimization, ensuring effective integration between the two systems to enhance operational efficiency. You will have the opportunity to contribute to the products we create and help grow the next generation of engineering talent. In addition, you will be given the chance to work with our most strategic warehouse automation vendors to ensure that 3rd party tools and applications are readily available to all product teams that are interested in using them.
Key Responsibilities 30% Delivery & Execution:
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
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 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
Leverages Agentic AI approaches to build autonomous workflows that improve warehouse efficiency, such as dynamic task allocation, order streaming, routing, and labor optimization.
10% Support & Enablement:
Fields questions from 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
50% People:
Provides leadership, mentoring, and coaching to Software Engineers
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
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
10% Learning:
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
Direct Manager/Direct Reports
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.
Travel Requirements
Typically requires overnight travel 5% to 20% of the time.
Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications
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)
Must be legally permitted to work in the United States
Preferred Qualifications
5-7 years of relevant work experience
Has a deep understanding of warehousing and logistics, and understands how their software impacts the performance and processes of the warehouse operations team.
Experience working with and communicating with PLCs
Experience developing conveyor control systems, routing systems, sortation systems, merge systems, goods to person systems, order streaming/work release systems, and warehouse execution systems
Experience working with conveyor components such as motors, photo eyes, scanners and scan tunnels, inline tapers, inline print and apply systems, inline scales, goods to person systems, palletizers and depalletizers, robotic arms, etc.
Experience applying Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel) to orchestrate multi-step, autonomous workflows.
Knowledge of reinforcement learning, planning algorithms, or autonomous agents for optimization in dynamic environments.
Experience leading teams building AI copilots or autonomous task agents that improve engineering productivity or operational throughput.
Experience in Warehouse Management Systems, leading teams to complete greenfield installations, upgrades, and enhancements for mechanized distribution centers.
Mastery of cloud computing preferably on GCP.
Mastery of a modern scripting language (preferably Python)
Mastery of a modern web application framework such as Spring MVC, and Node.js
Mastery of writing SQL queries against a relational database
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
Minimum Education
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.
Preferred Education
No additional education
Minimum Years of Work Experience
5
Preferred Years of Work Experience
No additional years of experience
Minimum Leadership Experience
None
Preferred Leadership Experience
None
Certifications
None
Competencies
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Develops Talent: Developing people to meet both their career goals and the organization's goals
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
AI & Automation Mindset: Skilled at identifying opportunities to apply autonomous AI agents for process optimization, system reliability, and workforce enablement.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Apply End Date: 10/31/2025
$140,000.00 - $240,000.00
#J-18808-Ljbffr