Senior Lead Software Engineer

Voyager (94001), India, Bangalore, Karnātaka

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 be the technical authority responsible for the end-to-end architecture 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. Define coding, security, deployment (CI/CD), and observability/monitoring standards across teams. Act as a force multiplier.

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

Skills

• Deep Technical Knowledge on data pipelines for AI, real time data handling, web application security, high availability systems etc.
• 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 in Engineering.
• At least 10 years of professional software engineering experience (internship experience does not apply).
• At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).

Preferred Qualifications

• Master’s Degree in Engineering.
• 5+ years of experience in at least one of the following: Java, Python, J…