Senior Lead Software Engineer, Full Stack

Capital One

Senior Lead Software Engineer driving AI-native software transformation at Capital One. Leading diverse technology projects and teams in a collaborative, inclusive environment focusing on regulatory compliance.

Posted 6/10/2026full-timeNew York City • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesPythonSQLTypeScript

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

Bachelor’s Degree
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 (Preferred)
4+ years of experience utilizing open-source frameworks to build production-grade applications (Preferred)
4+ years of experience with cloud-native architectures, microservices, APIs, containers, Kubernetes, serverless platforms, or event-driven systems using AWS, GCP, or Microsoft Azure (Preferred)
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) (Preferred)
2+ years of experience working within an Agile delivery environment utilizing Agile practices and frameworks (Preferred)
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 (Preferred)
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 (Preferred)
1+ years of people management experience (Preferred)
Experience collaborating with cybersecurity, risk, compliance, or data governance stakeholders to deliver software within a regulated enterprise environment (Preferred)
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Preferred).

Benefits

Comp & perks

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

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Hard Skills & Tools

JavaScriptJavaTypeScriptSQLPythonGocloud computingmicroservicesAPIsKubernetes

Soft Skills

leadershipcollaborationmentoringcommunicationproblem-solvingadaptabilityteam managementpassion for technologystakeholder engagementorganizational skills

Certifications

Bachelor’s Degree