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Sr. Lead – Software Engineer – Data & AI – Capital One Software
| Company | Capital One |
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| Location | Richmond, VA, USA |
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| Salary | $204900 – $233800 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s Degree in Compute Science, Computer Engineering, Electric Engineering or related fields.
- At least 6 years of experience in software engineering and development (Internship experience does not apply)
- At least 2 years experience with cloud computing (AWS, Microsoft Azure, or Google Cloud). Hands-on experience with Container Orchestration services including Docker and Kubernetes.
- At least 3 years experience in programming language; Java, Python, C++, Rust or Go.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in large-scale distributed systems, data security and governance, and cloud-native architecture. Make impactful, hands-on contributions throughout the project lifecycle, from scoping, design to coding and operations.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies on Security Data Management Platform, Agentic AI, Cloud Data Warehouse, etc, participating in internal & external technology communities, mentoring other members of the engineering community.
- Collaborate with product managers, translate product requirements into engineering tasks, make trade-off calls to balance delivery timelines and engineering best practices.
- Own and drive cross functional partnerships with teams spanning Engineering, Platform, Design, Data Science, Security and GTM teams, and partner closely with the leadership/stakeholders of various teams within these teams.
- Drive innovations on building AI-enabled agents, fine-tune LLM models for data classification and sensitive data detection.
Preferred Qualifications
- Master’s Degree preferred in Compute Science, Computer Engineering, Electric Engineering or related fields.
- Prior experience in building Data Security Posture Management (DSPM) system is a huge plus.
- Proficient in SQL. Hands-on experience with RDBMS and NoSQL databases.
- Experience in cloud-based lakehouses such as Databricks, Snowflake, AWS Athena, etc.
- Experience in open source data governance/catalog platforms such as Datahub, OpenMetadata or Atlas is a plus.
- Hands-on experience in building production scale agentic AI systems. Familiar with tools such as Langchain, Langgraph, and MCP.
- Hands-on experience in fine-tuning LLM, and deployed to productions to serve customers.
- 2+ years of experience in Agile practices
