Senior Lead Software Engineer, Full Stack (Enterprise Platform Technology)

We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

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.

- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions that help meet regulatory needs for the company

- Lead the design and implementation of AI-native software engineering harnesses that use 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

- Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

- 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

- Write architecture proposals, design documents, runbooks, and technical guidance that help scale harness engineering patterns across teams

- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

- At least 6 years of experience in software engineering (Internship experience does not apply)

- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

- 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

- 4+ years of experience utilizing open-source frameworks to build production-grade applications.

- 4+ years of experience with cloud-native architectures, microservices, APIs, containers, Kubernetes, serverless platforms, or event-driven systems using AWS, GCP, or Microsoft Azure.

- 2+ years of experience with CI/CD, automated testing, quality gates, developer productivity platforms, or observability frameworks (such as OpenTelemetry for 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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer