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

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY
Salary: $250,800–$286,200 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $268k

$140k most similar roles pay here $302k

This role pays more than 99% of similar roles. Most pay $155,925–$223,750 — the shaded band above. At the midpoint, this role pays about $268k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 778 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 773 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Software Engineer, Full Stack (Enterprise Platform Technology)

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As a Senior Lead Software Engineer at Capital One’s Enterprise Platforms Technology team, you will lead a diverse portfolio of technology projects and a team of developers experienced in distributed microservices and full-stack systems. Your primary responsibilities include designing and implementing AI-native software engineering harnesses that use approved models and coding agents with enterprise-grade quality and traceability. You will build agentic workflow orchestration systems, define typed input/output contracts, and develop observability capabilities for AI-assisted workflows. Additionally, you will integrate evaluation results into CI/CD pipelines, create reusable APIs and developer tooling, and collaborate with various teams to ensure solutions meet security and compliance standards. The role requires expertise in cloud-native architectures, microservices, Kubernetes, serverless platforms, and experience with LLM APIs and AI-assisted tools.

Skills

AWS Kubernetes CI/CD OpenTelemetry Python Docker Git Agile LLM APIs Schema-Driven Development Workflow Orchestration Microservices APIs Serverless Platforms Event-Driven Systems Observability Frameworks Automated Testing Quality Gates Developer Productivity Platforms

What you'll do

Lead the design and implementation of AI-native software engineering harnesses using approved models and coding agents.
Build agentic workflow orchestration systems supporting planning, code generation, validation, and human checkpoints.
Define and implement typed input/output contracts for auditable and repeatable agentic execution.
Develop trace capture and observability capabilities for AI-assisted engineering workflows.
Integrate evaluation results into CI/CD workflows to ensure quality gates are met.
Build reusable APIs and developer tooling enabling consistent adoption of AI-native practices.

What we're looking for

4+ years of experience building production-grade applications using open-source frameworks.
4+ years of hands-on experience with cloud-native architectures and microservices on AWS, GCP, or Azure.
2+ years of expertise in CI/CD pipelines, automated testing, and observability frameworks like OpenTelemetry.
1+ year of experience integrating LLM APIs and deploying AI-assisted developer tools into production workflows.
Proven ability to collaborate with cybersecurity, risk, compliance stakeholders in a regulated environment.

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