Lead Software Engineer, Full Stack

Location: New York

Lead Software Engineer, Full Stack

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.

As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Who We Are:

Capital One's Enterprise Platforms Technology builds and operates many of Capital One's most important enterprise platforms. We establish engineering practices, reusable platform capabilities, and production-ready patterns that help teams deliver reliable, secure, and scalable technology solutions across the company. The AI Harness Engineering team is focused on enabling governed AI-native software delivery. We build the tools, contracts, evaluation systems, and release controls that allow engineering teams to use approved AI models and coding agents with enterprise-grade quality, traceability, and operational discipline.

What You'll Do:

• Lead the design and implementation of AI-native software engineering harnesses that uses approved models, coding agents, and developer workflows in governed control-plane capabilities
• Build agentic workflow orchestration systems that support planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments
• Define and implement typed input/output contracts, schemas, metadata capture, and workflow state models that make agentic execution auditable and repeatable
• Develop trace capture, observability, and debugging capabilities for AI-assisted engineering workflows, including prompt/output lineage, tool-call traces, model/runtime metadata, and failure analysis
• Integrate evaluation results into CI/CD and release workflows, including quality gates for fidelity, build correctness, accessibility, security, performance, and human-review outcomes
• Build reusable APIs, services, developer tooling, dashboards, and reference implementations that enable teams to adopt AI-native engineering practices consistently
• Partner with application teams to migrate complex software and digital experiences using governed agentic workflows, while preserving engineering quality, customer experience, and enterprise controls
• Collaborate with Cyber, Risk, Responsible AI, Architecture, Product, and Platform teams to ensure solutions meet enterprise standards for security, auditability, compliance, and operational readiness

Basic Qualifications:

• Bachelor's Degree
• At least 4 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree
• 7+ years of experience in at least one of the following:
  JavaScript, Java, Type Script, SQL, Python, or Go
• 4+ years of experience utilizing open-source frameworks to build production-grade applications.
• 3+ years of experience with cloud-native architectures, microservices, APIs, containers, Kubernetes, serverless platforms, or event-driven systems using AWS, Google Cloud Platform, or Microsoft Azure.
• 2+ years of experience with CI/CD, automated testing, quality gates, developer productivity platforms, or observability frameworks (such as Open Telemetry, logging/metrics/tracing, and dashboards).
• 2+ years of experience working within an Agile delivery environment utilizing Agile practices and frameworks.
• 1+ years of experience integrating LLM APIs, building application workflows around generative models, or deploying AI-assisted developer tools into production or enterprise software workflows.
• 1+ years of experience building or operating software evaluation frameworks, automated testing runners, regression test suites, or telemetry pipelines, schema-driven development, or workflow orchestration.
• Experience collaborating with cybersecurity, risk, compliance, or data governance stakeholders to deliver software within a regulated enterprise environment.
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

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…