Full-stack Engineer IV, Distributed Data & AWS, Cloud Operations Resilience Engineering

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Plano, TXMcLean, VARichmond, VA
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $211k
$187k most similar roles pay here $230k

This role pays more than 77% of similar roles. Most pay $192,050–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $202k 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 1554 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 · Full-stack Engineer IV, Distributed Data & AWS, Cloud Operations Resilience Engineering

Full-stack Engineer 4 (Distributed data & AWS) (Cloud Operations Resilience Engineering) joins the Cloud Operations Resilience Engineering division to evolve foundational cloud infrastructure including observability, connectivity, resilience, and availability. This role involves leading a portfolio of diverse technology projects and a team of developers to build distributed microservices and full-stack systems that meet regulatory needs. The engineer will collaborate with product managers to deliver robust cloud-based solutions while providing technical leadership in an agile environment. Key responsibilities include defining service boundaries, reducing technical debt, and mentoring other engineers. The role requires proficiency in Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript, alongside experience with RDBMS, NoSQL databases, Docker, Kubernetes, and various AWS tools. The work focuses on solving complex problems within the cloud infrastructure layer to ensure system performance and operational excellence.

What does a Full Stack Engineer earn in Texas?

Median $192050 from 71 postings across 4 companies.

See salary data

What you'll do

  • Lead a portfolio of diverse technology projects and a team of developers focused on distributed microservices and full-stack systems.
  • Develop robust cloud-based solutions using Java, Python, Go, or Node.js to meet regulatory needs and improve customer experience.
  • Provide technical leadership across Agile teams by setting standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Identify areas for improvement and perform targeted refactoring to reduce technical debt and enhance system performance.
  • Influence long-term technology strategy by evaluating emerging tools and practices in a "you build it, you own it" environment.
  • Mentor other members of the engineering community and drive professional development within technical teams.

What we're looking for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 4 years of experience in software engineering.
  • At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
  • Master’s Degree in Computer Science or a related quantitative field (preferred).
  • 7+ years of experience coding with two or more of: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala (preferred).
  • 4+ years of experience with distributed data/computing tools, real-time data streaming, and database management systems (preferred).
  • 3+ years of experience with CI/CD pipelines, Infrastructure as Code, and Git-based version control (preferred).
  • Experience leading cross-functional engineering efforts, mentoring teams, and using AI-based coding assistants (preferred).

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