Not Applicable
Posted March 13, 2026
Job link
Thinking about this job
Responsibilities
Commitments
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
- 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
- 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.
Commitments
Fills in on product teams for engineers who are out of the office
Provides application support for software running in production
Travel Requirements
Typically requires overnight travel 5% to 20% of the time.
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.
Located in a comfortable indoor area.
Any unpleasant conditions would be infrequent and not objectionable.
None
None
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
Apply End Date: 03/16/2026
Not Met Priorities
What still needs stronger evidence
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)
- Must be legally permitted to work in the United States
- Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
- Experience with basic statistics and regression algorithms
- Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, etc.
- Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
- Experience in effective data engineering practices and big data platforms such as BigQuery, etc
- Experience in a modern scripting language (preferably Python)
- Experience in modern web application framework such as Node.js
- Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
- Experience in writing SQL queries against a relational database
- Experience in a Linux or Unix based environment
- Experience in a CI/CD toolchain
- Experience in REST and effective web service design
- Experience with building AI Agents and Agentic Applications using frameworks like LangChain
- Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
- Familiarity with NoSQL databases
- Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
- Familiarity with defensive coding practices and patterns for high Availability
- Familiarity with A/B testing and effective REST design for scalable web services architecture.
- Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
Preferred Skills
- Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
- Experience with basic statistics and regression algorithms
- Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, etc.
- Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
- Experience in effective data engineering practices and big data platforms such as BigQuery, etc
- Experience in a modern scripting language (preferably Python)
- Experience in modern web application framework such as Node.js
- Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
- Experience in writing SQL queries against a relational database
- Experience in version control systems (preferable Git)
- Experience in a Linux or Unix based environment
- Experience in a CI/CD toolchain
- Experience in REST and effective web service design
- Experience with building AI Agents and Agentic Applications using frameworks like LangChain
- Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
- Familiarity with NoSQL databases
- Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
- Familiarity with defensive coding practices and patterns for high Availability
- Familiarity with A/B testing and effective REST design for scalable web services architecture.
- Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
Education
- (Not required) – Mastery of an object oriented programming language (preferably Java)
- (Required) – Minimum Education
- (Not required) – 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.
- (Not required) – Preferred Education
- (Not required) – No additional education
- (Required) – Minimum Years Of Work Experience
- (Not required) – Preferred Years Of Work Experience
Req151983
Position Purpose
As a Software Engineer Manager, you will be given a chance to contribute to the machine learning platforms and products we create and help grow the next generation of engineering talent.
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
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
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
Experience with basic statistics and regression algorithms
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, etc.
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
Experience in effective data engineering practices and big data platforms such as BigQuery, etc
Experience in a modern scripting language (preferably Python)
Experience in modern web application framework such as Node.js
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
Experience in writing SQL queries against a relational database
Experience in version control systems (preferable Git)
Experience in a Linux or Unix based environment
Experience in a CI/CD toolchain
Experience in REST and effective web service design
Experience with building AI Agents and Agentic Applications using frameworks like LangChain
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
Familiarity with NoSQL databases
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
Familiarity with defensive coding practices and patterns for high Availability
Familiarity with A/B testing and effective REST design for scalable web services architecture.
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
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
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
Apply End Date: 03/16/2026
Position Purpose
As a Software Engineer Manager, you will be given a chance to contribute to the machine learning platforms and products we create and help grow the next generation of engineering talent.
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
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
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
Experience with basic statistics and regression algorithms
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, etc.
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
Experience in effective data engineering practices and big data platforms such as BigQuery, etc
Experience in a modern scripting language (preferably Python)
Experience in modern web application framework such as Node.js
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
Experience in writing SQL queries against a relational database
Experience in version control systems (preferable Git)
Experience in a Linux or Unix based environment
Experience in a CI/CD toolchain
Experience in REST and effective web service design
Experience with building AI Agents and Agentic Applications using frameworks like LangChain
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
Familiarity with NoSQL databases
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
Familiarity with defensive coding practices and patterns for high Availability
Familiarity with A/B testing and effective REST design for scalable web services architecture.
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.
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
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
Apply End Date: 03/16/2026