Senior Lead Software Engineer, Back End (Enterprise Platforms Technology)

Senior Lead Software Engineer, Back End (Enterprise Platforms Technology)

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, 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.

Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

We are seeking a Senior Lead Back End Software Engineer who is excited about experimenting and using emerging AI technologies to revolutionize how developers build, test, and deploy software.

As a Capital One Software Engineer in our Enterprise Platforms Technology (EPTech) team, you’ll work at the forefront of innovation, experimenting with AI-driven tools to reduce developer toil, enhance productivity, streamline workflows, and solve real-world problems. You’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Join us to pioneer the next generation of developer experiences and make a lasting impact!

What You’ll Do :

Lead the design, development, and implementation of AI-driven tools and platforms, with a focus on enhancing developer productivity and experience.

Drive Proof of Concept (POC) initiatives, such as Agentic CLI tools and IDE integrations, to explore innovative solutions for streamlining workflows and onboarding processes.

Collaborate with cross-functional teams, including product managers, data scientists, and infrastructure engineers, to align technical solutions with business goals.

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

Evaluate and integrate emerging AI technologies to solve complex problems and improve enterprise-wide development processes.

Utilize programming languages like Java, Python, and SQL, 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 professional software engineering experience (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 : Java or Python

3+ years of experience with AWS, GCP, Azure, or another cloud service

1+ years of experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases, knowledge bases, and AI UX (Conversational)

1+ years of experience with Natural Language Processing

1+ years of experience working on Machine Learning / Data Science projects (data engineering, training / fine-tuning language models, feature engineering, integration, and building scalable AI systems)

1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain / LlamaIndex / Semantic Kernel), Transformers / PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain)

1+ years of experience designing and implementing benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection

4+ years of experience in open source frameworks

1+ years of people management experience

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.

McLean, VA : $225,400 - $257,200 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).