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 Back End Software Engineers who are 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, SQL, Node, Go, and Scala, 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, 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 (like Conversational), Knowledge of NLP, experience working on ML/DS projects (including 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 managem