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# Lead Software Engineer

- **Company:** Capital One Financial Corporation
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Amazon Web Services, Application Frameworks, Microsoft Azure, Cloud Computing, Databases, Software Debugging, Distributed Systems, Django Web Framework, Amazon DynamoDB, Middleware, Python (Programming Language), PostgreSQL, MongoDB, MySQL, Node.Js, NoSQL, Open Source Technology, Redis, Azure Machine Learning, Scala (Programming Language), Software Engineering, TypeScript, Google Cloud, ReactJS, Large Language Models, Spring-boot, Generative AI, Backend, Vue.js, AngularJS, Cassandra, Machine Learning Operations, Front End Software Development, Serverless Computing, Golang, Programming Languages, Microservices
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=33d6ae4906ce2912

## About the Role

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?, * Bachelor's degree

 * At least 10 years of experience in software engineering
 * At least 8 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript, Spring Boot) (Internship experience does not apply)
 * At least 6 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB) (Internship experience does not apply)
 * At least 4 years of experience designing, building, and testing distributed systems along with comprehensive Observability (MELT) enabled (Internship experience does not apply)
 * At least 2 years of experience with a front-end language (Including but not limited to: JavaScript, TypeScript) (Internship experience does not apply)
 * At least 2 years of experience with a UI framework (Including but not limited to: Angular, Vue, React) (Internship experience does not apply)
 * At least 4 years of experience developing and deploying ML platform solutions on AWS
 * At least 2 years of experience in a technical leadership role overseeing strategic projects, * Experience in Agile or Kanban software development methodologies and Agile software development
 * 8+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud
 * 8+ years of experience with a server side application framework (Django, Express, Spring)
 * 3+ years of experience in MLOps either using open source tools like MLFlow or commercial tools
 * 3+ years of experience building production-ready capabilities for large scale platform
 * Hands-on implementation of responsible AI, building solution for guard rails, model explainability, fairness and governanceExposure to Generative AI application and familiarity with open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS

## Description

* Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
 * Direct a range of multifaceted tech initiatives, drawing on extensive expertise in full-stack architectures, distributed microservices, and the implementation of robust observability frameworks.
 * Partner with product and design teams to develop and integrate advanced features to the platform
 * 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
 * Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives.
 * Debug issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems
 * Quickly identify root cause, implement fix, and correct any affected data
 * Develop features to enhance the overall user experience with little to no direction, knowing what non functionals to address and how


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