Director, Software Engineering

Director, Software Engineering at Capital One summary:

The Director of Software Engineering leads and manages multiple software engineering teams focused on developing scalable, customer-facing applications and advanced AI/ML solutions. They are responsible for guiding technical development, promoting innovation, ensuring agile project delivery, and deploying applications on cloud environments such as AWS. This role requires extensive experience in software development, people management, AI/ML workflows, and modern programming languages and technologies.

As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers.

You will:

• Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers

• As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise.

• Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs.

• Mentor and guide the professional and technical development of engineers on your team.

• Spearhead workstream execution, ensuring robust process and project delivery management.

• Work with product managers to understand desired application capabilities and testing scenarios

• Continuously improve software engineering practices

• Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies

• Lead the craftsmanship, availability, resilience, and scalability of your solutions

• Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community

• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity

• Work across to improve the velocity of your and other teams

• Lead efforts to deploy new and existing applications into AWS environments

• Break existing monolithic applications into micro service architectures and build new microservices

Basic Qualifications:

• Bachelor’s Degree

• At least 7 years’ experience in software development

• At least 5 years’ experience in people management

Preferred Qualifications:

• Master’s Degree in Computer Science or a Master’s Degree in Software Engineering

• 10+ years of experience in software development

• 7+ years of experience in directly managing engineering teams

• 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data

• 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG))

• 5+ 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.