Staff Software Engineer Remote/Virtual GEORGIA - VIRTUAL - GA01 Full time End Date: July 24, 2026 With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Collaboration Tools team owns the enterprise tooling backbone for the organization — spanning Jira, Jira Align, Confluence, and Miro — balancing a steady stream of platform support with internal feature delivery. The Staff Engineer brings strong Atlassian and API integration experience, and can lead the shift from reactive support to scalable, self-service solutions. Key areas of impact include automating high-volume, recurring workflows around access management and dependency tracking, and maturing the team's Python/FastAPI-based tooling layer. This person will be comfortable operating across the full stack — Python, Docker, GitHub Actions, GCP, and a suite of SaaS products — and can bring technical leadership to a team that runs in a Scrum/Agile environment and moves fast. Key Responsibilities: - 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances - 10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems - 20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations - 20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive Direct Manager/Direct Reports: - This position typically reports to Software Engineer Manager or Sr. Manager - This position typically has 0 Direct Reports Travel Requirements: - No travel required. 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. Preferred Qualifications: - Python - AI Skilled - Claude preferred - Docker - GitHub / GitHub Actions - SaaS Products (Jira, Jira Align, Confluence, Miro, Sonar, Jetbrains) - GCP - Scrum / Agile 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: - 3 Preferred Years of Work Experience: - No additional years of experience Minimum Leadership Experience: - None Preferred Leadership Experience: - None Certifications: - None Competencies: - Global Perspective - Manages Ambiguity - Nimble Learning - Self-Development - Collaborates - Cultivates Innovation - Situational Adaptability - Communicates Effectively - Drives Results - Interpersonal Savvy For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $90,000.00 - $190,000.00

• Works within the Optiv Security’s 24x7x365 Security Operations Center as a member of the Advanced Fusion Center (AFC) team. • Responsible for following Optiv AFC processes & procedures, as well as managing and maintaining security systems across internal and client environments. • Serve as a primary responder for AFC customer systems, taking ownership of client configuration issues, and tracking through resolution. • Provide mentorship to other technical staff members. • Provide technical assistance in scoping and other pre-sales activities. • Take technical leadership on client projects; oversee and guide work performed by other technical staff members.

• Interview—Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. • Evaluate—Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. • Partner—Collaborate with Karat to test content, processes, and products.

• Develop, optimize and maintain scalable data pipelines using Databricks, Spark and PySpark. • Work on integration, transformation, cleansing and provisioning of large-scale master/customer data. • Build and maintain cloud-based Big Data products, ensuring scalability, performance, reliability and data quality. • Work with customer master data domain, supporting initiatives related to Golden Record, data quality, governance and MDM. • Design and implement data solutions that support intelligent systems based on Generative AI, agents and multi-agent systems. • Prepare, structure and provision data for consumption by Machine Learning models, LLMs, autonomous agents and intelligent workflows. • Support the construction of agents and multi-agent systems capable of analyzing customer master data at scale. • Help identify patterns, inconsistencies, gaps, duplicates, anomalies and opportunities for improvement in master/customer data. • Develop data mechanisms for generating alerts, explainable recommendations and decision support. • Apply Analytics and Machine Learning techniques for anomaly detection, classification, clustering and scoring of master/customer data. • Support strategies for data qualification, enrichment, prioritization and governance. • Use Generative AI to support the generation, evolution, validation and explanation of business rules. • Explore and support implementation of architectures such as RAG, autonomous agents, multi-agent systems and intelligent workflows. • Work with near real-time data processing using Kafka. • Support the productionization of Machine Learning models on Databricks, applying MLOps concepts. • Create, maintain and evolve CI/CD pipelines using GitHub and GitHub Actions. • Ensure development best practices, ensuring solutions follow standards of quality, efficiency, maintainability and governance. • Optimize the use of available data to maximize its value for business and technology areas. • Collaborate with MDM, Data, Technology and Business teams to ensure developed solutions are measurable, governable and applicable. • Support technical and functional refinements, ensuring clarity, feasibility and alignment of stories to project needs. • Help create clear, well-defined and technically feasible user stories. • Participate in AS-IS and TO-BE design, documenting current and future processes, identifying technical debt, risks and opportunities for improvement. • Develop refined and approved stories, ensuring quality, efficiency and adherence to technical standards. • Identify technical debt and propose continuous improvements in architecture, processes, data and solutions. • Work in partnership with data and business focal points to ensure alignment between technical solutions, best practices and strategic needs.