Senior Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CAMcLean, VA
Salary
$229,900–$262,400 / yr
Posted
8 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $246k
$143k most similar roles pay here $275k

This role pays more than 96% of similar roles. Most pay $155,925–$222,000 — the shaded band above. At the midpoint, this role pays about $246k versus about $189k 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 801 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Software Engineer, Full Stack

As a 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 with expertise in distributed microservices and full-stack systems. Your role involves designing and implementing AI-native software engineering harnesses that use approved models and coding agents within governed control-plane capabilities. You will build agentic workflow orchestration systems for planning, code generation, validation, and controlled promotion through delivery environments while ensuring traceability and operational discipline. Key responsibilities include developing observability frameworks, integrating evaluation results into CI/CD workflows, and creating reusable APIs and developer tooling to enable consistent adoption of AI-native practices across teams. You will collaborate with Cyber, Risk, Responsible AI, Architecture, Product, and Platform teams to ensure solutions meet enterprise standards for security, auditability, compliance, and operational readiness. The role requires experience with cloud-native architectures, microservices, Kubernetes, CI/CD, observability frameworks like OpenTelemetry, and integrating LLM APIs into production workflows.

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 controlled promotion through delivery environments.
  • Define and implement typed input/output contracts to ensure auditable and repeatable agentic execution.
  • Develop trace capture and observability capabilities for AI-assisted engineering workflows, including prompt/output lineage and failure analysis.
  • Integrate evaluation results into CI/CD workflows with quality gates for fidelity, security, performance, and human-review outcomes.

What we're looking for

  • 4+ years of experience building production-grade applications using open-source frameworks
  • 4+ years of expertise in cloud-native architectures and microservices with AWS, GCP, or Azure
  • 2+ years of hands-on experience with CI/CD pipelines, automated testing, and observability tools
  • 1+ year of integrating LLM APIs and deploying AI-assisted developer tools into production workflows
  • Experience building software evaluation frameworks and telemetry pipelines in regulated environments

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