Sr Lead Software Engineer, Analytics - Shopping (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Lead Software Engineer who is passionate about marrying data with emerging technologies. As a Lead Full Stack Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping. What You'll Do: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Bachelor's Degree - At least 6 years of experience in software engineering (Internship experience does not apply) - At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: - Master's Degree - 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go - 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service - 4+ years of experience in open source frameworks - Experience owning and supporting mission critical applications and platforms - Experience with Kafka and Streaming technologies and platforms - Experience with Enterprise Data technologies and platforms - Experience working with extremely large traffic and data volumes - 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $209,000 - $238,500 for Sr. Lead Software Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Description We are looking for a motivated Software Engineer to join our team and help build AI agents that solve real-world problems for customers and employees alike. You will work closely with senior engineers and product partners to design, develop, test, and maintain backend services and AI-driven workflows. This role is ideal for someone early in their career who is passionate about Python, agentic workflows, and learning best engineering practices in a high-growth field. What You Will Do: - Agent Development: Contribute to the development of AI agents, prompt engineering, and supporting backend infrastructure. - Clean Code: Write clean, well-structured, and maintainable Python code that follows established coding standards within the team. - Quality Assurance: Implement unit tests and integration tests to ensure agent reliability and prevent regressions. - Workflow: Use Git and CI/CD tools effectively within a collaborative team environment. - Agile Participation: Engage in Scrum ceremonies, contributing to sprint planning and retrospectives. - Troubleshooting: Debug and troubleshoot issues in development and production, specifically focusing on the unique challenges of LLM outputs. - Peer Growth: Collaborate with team members through code reviews, focusing on learning and maintaining high code quality. Qualifications - Python Proficiency: Strong foundational coding skills in Python (familiarity with asyncio or FastAPI is a plus). - Problem Solving: Solid analytical and debugging skills, especially when dealing with complex data structures or APIs. - Core Fundamentals: Solid understanding of data structures, RESTful APIs, and backend service architecture. - Engineering Rituals: Familiarity with Git workflows and a strong understanding of why we do code reviews. - Testing Mindset: Experience with testing frameworks (like pytest) and an understanding of test-aware development. - Agile Experience: Comfortable working in a fast-paced, iterative Agile environment. - Growth Mindset: An eagerness to learn new technologies, ask "why," and take ownership of your professional growth. Nice to Have: - AI/LLM Interest: Exposure to LLMs or agent frameworks. - Infrastructure: Familiarity with cloud platforms and Docker/containerization. - Data Handling: Experience with asynchronous processing or message queues. Requirements - Education: Bachelor's Degree (preferred, but a combination of coursework and experience or extensive related professional experience may be considered). - Relevant Work Experience: 2-5 Years. Compensation - Primary Location Pay Range: $120,891.07 - $181,336.60. - Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. - Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. - Comcast provides best-in-class Benefits to eligible employees.

• Creates reports, dashboards, and other self-service solutions that clearly present data to stakeholders; maintains developed solutions • Develops datasets and datamarts for analyses and interactive solutions; implements documentation, design, and development best practices and methodologies in partnership with senior teammates and leaders • Analyzes datasets to identify trends and outcomes of healthcare programs and interventions; works with senior teammates and leaders to communicate findings and methodologies to stakeholders • Actively contributes to multiple projects while balancing competing priorities • Demonstrates deep understanding of data stewardship guidelines, regulations, and department standards for reporting and handling sensitive data

• Develop a strong understanding of core electrical and mechanical system principles • Conduct data analysis with Python to drive informed business decisions • Apply statistical methods to assess data completeness, accuracy, and reliability • Support engineering teams with root cause analysis investigations • Promote the adoption of semantic models and ontologies across the organization • Design and build executable Python-based analytical models • Automate data processing, analysis, and formatting workflows • Clean, structure, and analyze datasets using Python • Organize data and implement standardized labeling practices in AWS S3 • Deploy machine learning algorithms on both numerical and categorical data sets