Senior Lead Software Engineer

About Capital One

Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment. We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Our AI/ML capabilities are now at the forefront of what’s possible in banking. (e.g., Capital One Eno).

Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.

Our teams have built and battle tested new capabilities to meet those needs. We’ve open sourced several of the software tools we built (e.g., Cloud Custodian, Hygieia) and forged new partnerships with other digital leaders (e.g., Microsoft, MSFT).

About the team - Financial Services

At Capital One Financial Services we build cutting edge real time intelligent apps for our auto loan customers and associates. As we have made the cloud and Data journey, we are now at a crossroads to utilize all the data we have about our customers and processes to build context aware intelligent applications using AI/ML.

About the role - Senior Lead, Software Engineering

As a Senior Lead (Software Engineering), you will design and oversee the high-level design and functionality of software systems, ensuring they meet business functional requirements and technical non-functional specifications. Collaborate with stakeholders, developers and architects to create blueprints, choose technologies and set coding standards, while also providing guidance and support throughout the development lifecycle.

Key Responsibilities

High-Level Design

Develops architectural blueprints, conceptual models, and designs for software systems, ensuring they meet business needs and technical requirements. Proactively identify technical debt and develop design and approach to mitigate and resolve them in a timely manner.

Technology Selection

Makes decisions about the technologies, frameworks, libraries and tools to be used in a project. Evaluates and helps conclude across internal and external choices.

SDLC Standards

Establishes and enforces coding, deployment and monitoring standards and best practices for the engineering team.

Collaboration

Works closely with product and engineering stakeholders to define requirements and ensure alignment throughout the project. Helps quantify the risk and impact of existing technical debt and prioritise resolving and mitigating them in a timely manner.

Technical Leadership

Provides technical guidance, mentorship and support to the development team.

Problem Solving

Identifies and resolves critical technical issues, ensuring the software system is robust and functional whenever the team needs support.

Documentation

Creates technical documentation to ensure the project is well-defined and understood by all stakeholders.

Skills and Qualifications

Deep Technical Knowledge

Extensive experience in software development across transactional and big data systems with a foundational understanding of various technologies and methodologies. Comfortable with multiple programming languages and paradigms, familiarity with relational and NoSQL data stores, streaming technology.

Problem-Solving

Strong analytical and problem-solving skills to identify and resolve technical issues.

Communication

Excellent communication skills to effectively convey technical information to both technical and non-technical audiences.

Project Management

Familiarity with project management methodologies and techniques, including Agile and Scrum.

Basic Qualifications

• Bachelor’s Degree
• At least 10 years of professional software engineering experience (internship experience does not apply)
• Familiarity with project management experience - stakeholder management, delivery and timeline management etc.
• At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• Master’s Degree
• At least 5 years of experience in at least one of the following: Java, Python, Javascript (TypeScript)
• At least 3 years of experience with AWS or any other cloud service
• At least 2 years of experience in Agile practices