• Ship modernization work at a pace that surprises people • Use AI agents (Cursor, Claude Code, Codex) to blow through framework upgrades, refactors, API extraction, test scaffolding, and documentation • Build reusable playbooks the team can actually follow • Modernize a real .NET + SQL Server stack into something you'd be proud of • Build with security and privacy as defaults, not afterthoughts • Work with analysts, stakeholders, and other engineers to turn business problems into working software

• Lead the design and evolution of a scalable, multi-product data platform capable of supporting rapid growth (e.g., 600K to 2.5M+ patients) and expansion into new therapeutic areas • Drive large, cross-team engineering initiatives end-to-end—from architecture and planning through production—while owning dependencies, aligning stakeholders, and ensuring predictable delivery timelines • Architect, build, and optimize robust batch and streaming data pipelines with a focus on scalability, reusability, and enabling downstream team ownership • Modernize legacy systems into future-state, AI-first data infrastructure by defining best practices, improving observability, and advancing monitoring and failure detection capabilities • Partner closely with data science, product, and commercial teams to deliver reliable, AI-driven data solutions, ensuring alignment across product areas and enabling high-confidence integrations and outcomes • Deeply understand your product area, and how it impacts other product areas to effectively propose changes and how it impacts the success of the company.

Lead Software Engineer, Full Stack - Shopping (Remote) 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 - 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 4 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 - 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go - 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service - 4+ years of experience in open source frameworks - 1+ years of people management experience - 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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): $179,400 - $204,700 for Lead Software Engineer McLean, VA: $197,300 - $225,100 for 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 As a Senior Software Engineer - AI (19693), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. Responsibilities and Duties - Design, build, and scale AI-centric distributed systems that power offensive security and penetration testing products. - Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems. - Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization. - Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development. Qualifications - 7+ years of experience in backend engineering and distributed systems within production-grade environments. - 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems. - Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks. - Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems. - Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns. - Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka. - Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies. - Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments. - Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows. - Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus. Company Description Encora is a global company that offers Software and Digital Engineering solutions. Our practices include: - Cloud Services - Product Engineering & Application Modernization - Data & Analytics - Digital Experience & Design Services - DevSecOps - Cybersecurity - Quality Engineering - AI & LLM Engineering At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.