ZipRecruiter
Lead, Software Engineer, Data & AI - Capital One Software (Remote)
ZipRecruiter, Plano, Texas, us, 75086
Overview
Lead, Software Engineer, Data & AI – Capital One Software (Remote) Capital One Software is seeking an experienced Lead, Software Engineer (Data & AI) to join our Rapid Prototyping Team. This team builds and prototypes new features for Capital One Software’s next- generation data and cloud security platform to address emerging customer use cases and showcase key product capabilities. Our solutions leverage state-of-the-art Data & AI technologies to help enterprises discover, share, and protect their most critical data assets across hybrid and multi-cloud environments. The team designs and prototypes new product capabilities, evaluates cutting-edge technologies, and collaborates with customers to iterate on features. We are seeking top-tier talent to join our pioneering team. You will join a team of product, tech, and design leaders who challenge the status quo. As a Capital One Lead, Software Engineer, you’ll be on the forefront of building this business and bringing these tools to market. What You’ll Do
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 architecture. Contribute hands-on throughout the project lifecycle—from scoping and design to coding and operations. Stay on top of tech trends, experiment with and learn new technologies on Security Data Management Platform, Agentic AI, Cloud Data Warehouse, etc., participate in internal and external technology communities, and mentor other engineers. Collaborate with product managers to translate requirements into engineering tasks, and make trade-offs to balance delivery timelines and engineering best practices. Own and drive cross-functional partnerships with Engineering, Platform, Design, Data Science, Security, and GTM teams; partner with leadership and stakeholders across these groups. Drive innovations in building AI-enabled agents and fine-tune LLM models for data classification and sensitive data detection. Basic Qualifications
Bachelor’s Degree At least 4 years of software engineering experience At least 2 years of cloud computing experience (AWS, Microsoft Azure, or Google Cloud) At least 3 years of programming experience in Java, Python, C++, Rust, or Go Qualifications
Master’s Degree Prior experience in building Data Security Posture Management (DSPM) systems is a plus Proficient in SQL; hands-on experience with RDBMS and NoSQL databases Hands-on experience with container orchestration services including Docker and Kubernetes Experience with cloud-based lakehouses such as Databricks, Snowflake, AWS Athena, etc. Experience with open source data governance/catalog platforms such as Datahub, OpenMetadata, or Atlas Hands-on experience building production-scale agentic AI systems; familiar with tools such as Langchain, Langgraph, and MCP Hands-on experience in fine-tuning LLMs deployed to production to serve customers 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on hours worked. Remote (Regardless of Location): $175,800 - $200,700 for Manager, Software Engineering; Richmond, VA: $175,800 - $200,700 for Manager, Software Engineering. Other locations follow their respective pay ranges. The actual salary offered will be reflected in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives can be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive benefits package and information is available on the Capital One Careers website. Eligibility varies by status and level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including /vet) committed to non-discrimination in compliance with applicable laws. Capital One maintains a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. If you require an accommodation to apply or participate in the interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services advertised through this site. Some postings may refer to entities in different regions (e.g., Capital One Canada, Capital One Europe, Capital One Philippines Service Corp.).
#J-18808-Ljbffr
Lead, Software Engineer, Data & AI – Capital One Software (Remote) Capital One Software is seeking an experienced Lead, Software Engineer (Data & AI) to join our Rapid Prototyping Team. This team builds and prototypes new features for Capital One Software’s next- generation data and cloud security platform to address emerging customer use cases and showcase key product capabilities. Our solutions leverage state-of-the-art Data & AI technologies to help enterprises discover, share, and protect their most critical data assets across hybrid and multi-cloud environments. The team designs and prototypes new product capabilities, evaluates cutting-edge technologies, and collaborates with customers to iterate on features. We are seeking top-tier talent to join our pioneering team. You will join a team of product, tech, and design leaders who challenge the status quo. As a Capital One Lead, Software Engineer, you’ll be on the forefront of building this business and bringing these tools to market. What You’ll Do
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 architecture. Contribute hands-on throughout the project lifecycle—from scoping and design to coding and operations. Stay on top of tech trends, experiment with and learn new technologies on Security Data Management Platform, Agentic AI, Cloud Data Warehouse, etc., participate in internal and external technology communities, and mentor other engineers. Collaborate with product managers to translate requirements into engineering tasks, and make trade-offs to balance delivery timelines and engineering best practices. Own and drive cross-functional partnerships with Engineering, Platform, Design, Data Science, Security, and GTM teams; partner with leadership and stakeholders across these groups. Drive innovations in building AI-enabled agents and fine-tune LLM models for data classification and sensitive data detection. Basic Qualifications
Bachelor’s Degree At least 4 years of software engineering experience At least 2 years of cloud computing experience (AWS, Microsoft Azure, or Google Cloud) At least 3 years of programming experience in Java, Python, C++, Rust, or Go Qualifications
Master’s Degree Prior experience in building Data Security Posture Management (DSPM) systems is a plus Proficient in SQL; hands-on experience with RDBMS and NoSQL databases Hands-on experience with container orchestration services including Docker and Kubernetes Experience with cloud-based lakehouses such as Databricks, Snowflake, AWS Athena, etc. Experience with open source data governance/catalog platforms such as Datahub, OpenMetadata, or Atlas Hands-on experience building production-scale agentic AI systems; familiar with tools such as Langchain, Langgraph, and MCP Hands-on experience in fine-tuning LLMs deployed to production to serve customers 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on hours worked. Remote (Regardless of Location): $175,800 - $200,700 for Manager, Software Engineering; Richmond, VA: $175,800 - $200,700 for Manager, Software Engineering. Other locations follow their respective pay ranges. The actual salary offered will be reflected in the offer letter. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives can be discretionary or non-discretionary depending on the plan. Capital One offers a comprehensive benefits package and information is available on the Capital One Careers website. Eligibility varies by status and level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including /vet) committed to non-discrimination in compliance with applicable laws. Capital One maintains a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. If you require an accommodation to apply or participate in the interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. For technical questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services advertised through this site. Some postings may refer to entities in different regions (e.g., Capital One Canada, Capital One Europe, Capital One Philippines Service Corp.).
#J-18808-Ljbffr