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senior lead software engineer

Travelers

<div>Who Are We?
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. 
 
The Senior Data Engineer is a core contributor within the Travelers Data Engineering Chapter, operating across the DAVS BI domain. In this role, you will lead the design, development, and operationalization of enterprise-grade data pipelines that transform raw insurance and operational data into high-quality, analytics-ready assets, powering BI, Machine Learning, and AI initiatives across Travelers. 
 
As a Senior Engineer, you serve as a technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering standards adoption, and partnering with business and data stakeholders to translate requirements into scalable, maintainable data solutions.
What Will You Do?<ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.</li><li>
Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.</li><li>
Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.</li><li>
Collaborate across team to support delivery and educate end users on complex data products/analytic environment.</li><li>
Perform other duties as assigned.
</li></ul>What Will Our Ideal Candidate Have?<ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Ten years of related experience.</li><li>
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field</li><li>
Experience with insurance domain data (policy, claims, underwriting, billing)</li><li>
Knowledge of data governance frameworks and regulatory compliance (GDPR, CCPA, SOX)</li><li>
Cloud certifications: AWS Certified Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer</li><li>
Experience with streaming data platforms (Kafka, Kinesis, Event Hubs)</li><li>
Familiarity with data quality tools (Great Expectations, Deequ, Monte Carlo)</li><li>
Contributions to open-source projects or technical community involvement</li><li>
Experience with Agile/Scrum methodologies</li><li>
Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.</li><li>
Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.</li><li>
Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.</li><li>
Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.</li><li>
Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.</li><li>
Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.</li></ul>
What is a Must Have?<ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
6 additional years of data engineering experience.</li></ul>
What Is in It for You?<ul><li>
Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li>
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li>
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li>
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li>
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul>
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</div>

Senior Data Engineer

The Home Depot

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

<div><div>Position Purpose:
The Sr. Software Engineer is responsible for independently developing and consistently redesigning/refactoring a product to adapt to our customers and associates needs. As a Sr. Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Sr. Software Engineers may be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers. 
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
No travel required.</li></ul> 

Physical Requirements:<ul><li>
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.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
2-4 years of relevant work experience</li><li>
Experience with front end technology such as HTML, CSS, and Javascript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or noSQL database technology, cloud computing techniques, CI/CD tools, modern software design patterns</li><li>
Experience with security frameworks for user and services authorization and authentication</li><li>
Experience with creating and executing unit, functional, destructive and performance tests</li><li>
Experience with modern debugging and root cause analysis techniques</li><li>
Experience with version control system</li></ul> 

Minimum Education:<ul><li>
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.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
3</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div> 
Apply End Date: 04/30/2026</div>

Senior Software Engineer - Golang (Remote)

<div><div>Position Purpose:
The Sr. Systems Engineer within the CoreAI team is responsible for independently developing, maintaining, and supporting The Home Depot's generative AI and agentic infrastructure that drives the success of Home Depot and our customers. Leading from a THD mindset, you will apply a first principles approach to solve complex engineering problems, breaking down ambiguous challenges to architect robust, scalable systems from the ground up. You will act as a consultative technical bridge between cutting-edge AI frameworks and practical enterprise business applications.
As a Sr. Systems Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production-grade AI infrastructure. You will independently lead technical discovery sessions, architect custom ADK agents based on core engineering fundamentals, and establish governance for organizational-wide usage. In addition, Sr. Systems Engineers may be involved in routine model upgrades and application support, as well as rigorous root cause and post-mortem analyses around AI security incidents, system hallucinations, distributed system bottlenecks, and service interruptions.
Key Responsibilities:<ul><li>
30% Delivery &amp; Execution - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
15% Learning - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Planning &amp; Analysis - Researches and analyzes business trends and behavioral data to identify opportunities for improvements and new initiatives; Drives the evaluation, development, and recommendation of specific technology to provide cost-effective solutions that meet THD requirements; Researches and designs best fit infrastructure, network, database, cloud, AI, and security architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and reporting across multiple efforts</li><li>
35% Support &amp; Enablement - Collaborates with product and project teams to understand needs and enable them with infrastructure; Supports technology architecture design review efforts for project and product teams; Leverages tooling and custom applications to monitor the operational status of applications, infrastructure, networks, databases, and security; optimizes and tunes performance as appropriate; Drives root cause analysis, debugging, support, and post-mortem analysis for security incidents and service interruptions; Maintains, upgrades, and supports existing systems and infrastructure to ensure operational stability; Opens and manages vendor problem tickets to resolution; Drives the production of in-house documentation around solutions; Provides application support for software running in production; Drives moving KB articles to infrastructure as code models; Drives keeping monitoring/alerting up to date</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Systems Engineer Manager or Sr Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Professional or educational experience as an Information Technology, Platform, or AI/MLOps Engineer, with a strong emphasis on applying first principles thinking to system design and troubleshooting.</li><li>
Experience working as part of a collaborative, cross-functional, modern engineering team, including a proven ability to lead technical discovery sessions and present tailored architectural solutions to both technical (MLEs, developers) and non-technical business stakeholders.</li><li>
Experience with scripting and programming, with mandatory strong proficiency in Python, Model Context Protocol (MCP), and building robust ADK agents. Familiarity with orchestration frameworks like LangChain or LlamaIndex is a plus.</li><li>
Experience with cloud platforms, primarily GCP, with hands-on core engineering expertise in Vertex AI Agent Engine, Vertex AI Vector Search, and BigQuery.</li><li>
Experience monitoring the operational status and performance of, and configuring as well as tuning, systems, networks, vector databases, and LLM telemetry (latency, token usage, cost).</li><li>
Familiarity with system and environment analysis, design, and optimization for enterprise-wide generative AI platforms, focusing on foundational engineering requirements like high availability, fault tolerance, and establishing AI governance and compliance guardrails.</li><li>
Experience in troubleshooting and remediation within multiple Information technology disciplines, applying deep root-cause analysis to resolve complex agentic workflow and distributed system failures.</li><li>
Experience installing and upgrading applications or databases and performing system maintenance for high-throughput ML/AI workloads.</li><li>
Familiarity with debuggers, runtime analysis, library systems, compiled programming, and software update tools.</li><li>
Experience supporting a 24x7 retail operation, understanding the immense scale, security, and reliability required for THD enterprise systems.</li><li>
Experience with version control systems and CI/CD toolchains tailored for the deployment of ML models, AI agents, and microservices.</li><li>
Experience with production system designs including Infrastructure as Code (e.g., Terraform), containerization (e.g., GKE), High Availability, and Performance monitoring.</li><li>
Exposure to Site Reliability Engineering (SRE), including enforcing least-privilege IAM policies and securely managing auth tokens for AI service accounts.</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
4</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Being Resilient</li><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Optimizes Work Processes</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/25/2026</div>

Senior Systems Engineer, CoreAI - Agentic Solutions (Remote)

<div><div>Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
 
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other 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; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 5 years of relevant work experience 
Experience in Python and modern AI development frameworks 
Experience building Generative AI applications using large language models (LLMs) 
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques 
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic 
Experience with GenAI frameworks such as Google Agent Development Kit (ADK) 
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases 
Experience working with vector databases such as google Vertex AI Search 
Experience with building conversational AI systems, or AI assistants 
Experience with responsible AI practices including bias mitigation and safety guardrails 
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. 
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. 
Experience with monitoring, evaluation, and optimization of production AI systems 
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) 
Experience with GPU acceleration (i.e. CUDA and cuDNN) 
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 
Experience in writing SQL queries against a relational database 
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security 
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.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/11/2026</div>

Senior Machine Learning Engineer – Generative AI (Remote)

<div><div>Position Purpose:
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high-impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi-model orchestration.
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise-wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices. 
Key Responsibilities:<ul><li>
30% Delivery &amp; Execution:</li><li>
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases</li><li>
Works with vendors and partners for the successful implementation of critical tooling and platforms</li><li>
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
Fills in on product teams for engineers who are out of the office</li><li>
10% Support &amp; Enablement:</li><li>
Fields questions from engineers, product teams, or support teams</li><li>
Monitors tools and participates in conversations to encourage collaboration across product teams</li><li>
Provides application support for software running in production</li><li>
Acts as a technical escalation point for the engineers on the team</li><li>
50% People:</li><li>
Provides leadership, mentoring, and coaching to Software Engineers</li><li>
Attracts, retains, and develops top talent to build a world class Software Engineering Team</li><li>
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback</li><li>
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests</li><li>
Acts as a proponent of modern software development practices</li><li>
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams</li><li>
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)</li><li>
10% Learning:</li><li>
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations</li><li>
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Mastery of an object oriented programming language (preferably Java)</li><li>
Must be legally permitted to work in the United States</li></ul> 
Preferred Qualifications:<ul><li>
8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises.</li><li>
Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems.</li><li>
Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments.</li><li>
Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience</li><li>
Proven track record of managing complex technical projects and leading junior engineering teams</li><li>
Deep experience with ad tech, streaming media platforms, and digital content delivery</li><li>
Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday)</li><li>
Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment</li><li>
Excellent problem-solving and analytical skills</li><li>
Strong communication skills with ability to explain AI and software engineering concepts to both technical and non-technical audiences</li><li>
Knowledge of privacy and security considerations in AI applications</li><li>
Understanding of AI ethics and responsible AI practices</li><li>
Strong leadership and mentoring abilities</li><li>
Excellent interpersonal and team collaboration skills</li><li>
Ability to think strategically about AI applications and their business impact</li><li>
Proactive and self-motivated with a passion for emerging AI technologies and software engineering practices</li><li>
Adaptable and able to thrive in a fast-paced, rapidly evolving AI and software development landscape.</li><li>
Bachelor's degree in Computer Science, Software Engineering, or related field.</li></ul> 
Minimum Education:<ul><li>
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.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li></ul>
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.</div> 
Apply End Date: 05/12/2026</div>

Manager, AI Platform Engineering (Remote)

<div><div>Position Purpose:
The Senior Cybersecurity Engineer &ndash; Non‑Human Identity (NHI) partners with Architecture, IAM, cloud, platform, DevOps, and application teams to design, build, and operate enterprise‑scale discovery, governance, and lifecycle automation for non‑human identities (NHIs). NHIs include service accounts, API tokens, cloud IAM roles, automation identities, CI/CD identities, and AI agents across on‑premises, hybrid, and multi‑cloud environments. This role focuses on automation, collaboration, and risk reduction, helping modernize authentication patterns and reduce reliance on long‑lived credentials. 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat hunting and data analysis strategy and capabilities Identify and propose new technologies, methodologies and/or approaches to detecting malicious activity Utilize indicators to scope and respond proactively to emerging threats Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:
Non‑Human Identity Discovery &amp; Automation<ul><li>
Work with IAM, Architecture, and platform teams to design and operate automated discovery capabilities for NHIs across servers, applications, cloud platforms, and CI/CD pipelines</li><li>
Contribute to development of automation and tooling (Python, PowerShell) to:<ul><li>
Discover NHIs across infrastructure and environments</li><li>
Parse configuration files, logs, APIs, and Infrastructure‑as‑Code to identify embedded or hard‑coded credentials</li><li>
Enrich NHI metadata including ownership, purpose, environment, and lifecycle state</li></ul></li><li>
Partner with engineering teams to automate NHI hygiene activities such as ownership validation, lifecycle tracking, and reporting</li></ul>
NHI Lifecycle &amp; Governance<ul><li>
Collaborate with IAM, Architecture, cloud, and ITSM teams to design and integrate NHI lifecycle workflows, including onboarding, access reviews, credential rotation, and decommissioning</li><li>
Integrate NHI workflows with enterprise platforms, including: IAM and PAM solutions, Cloud IAM services, Secrets management platforms, ITSM and workflow tools</li><li>
Support enforcement of clear ownership, purpose, and lifecycle accountability for NHIs</li><li>
Assist with enterprise access reviews, attestations, and audit evidence generation</li></ul>
Partner with application, platform, and DevOps teams to analyze authentication flows and refactor legacy patterns toward modern, password‑less NHI designs, including managed identities, OAuth client credentials, and short‑lived tokens.<ul><li>
Provide NHI context to security monitoring and incident response teams to support investigations involving service account misuse, anomalous automation behavior, or credential compromise</li><li>
Apply data‑driven techniques such as pattern recognition, baselining, and anomaly indicators to analyze NHI usage trends and detect drift or misuse.</li></ul>
AI Agent Identity Governance<ul><li>
Partner with architecture and platform teams to support onboarding and governance of AI agents as non‑human identities</li><li>
Help ensure AI agents have clearly defined ownership, scoped access, and documented lifecycle expectations</li></ul>
Basic PKI Responsibilities (Foundational)<ul><li>
Support certificate‑based NHIs (e.g., TLS, mTLS, client authentication) as part of broader NHI governance</li><li>
Integrate NHI discovery and lifecycle workflows with enterprise PKI and certificate management platforms</li><li>
Ensure certificates and private keys follow approved standards for issuance, rotation, and expiration, without direct ownership of PKI infrastructure</li><li>
Collaborate across security, cloud, and platform engineering teams to align NHI controls with Zero Trust principles and THD security standards.</li><li>
Produce and maintain technical documentation, runbooks, and onboarding guides, and support audit and compliance activities through NHI evidence and reporting.</li><li>
Continuously improve the NHI program by identifying automation opportunities, reducing operational toil, and improving accuracy, coverage, and maturity of non‑human identity controls.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div> 
Apply End Date: 05/19/2026</div>

Cybersecurity Senior Engineer - Non Human Identity (Remote)

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