Staff Full-Stack Engineer: Lead Cloud & Platform Innovation

Capital One

Richmond (VA)

On-site

USD 245,000 - 279,000

Full time

7 days ago
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Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Staff Full-Stack Engineer to lead and shape the next generation of banking technology in the cloud. You will mentor engineers, drive architectural decisions, and push modernization from monoliths to microservices while working with product managers and ML experts.

You will leverage deep expertise across software engineering, cloud platforms, data architecture, and distributed systems to influence platforms and capabilities across the organization.

Qualifications

  • Degree in Computer Science or related field
  • 7+ years of software engineering and solution architecture
  • Cloud computing experience (AWS, Azure, GCP)
  • Data architecture experience

Responsibilities

  • Articulate a bold technical vision for your domain
  • Decompose complex problems into practical solutions
  • Drive modernization of monolithic systems into microservices and event-driven platforms
  • Collaborate with senior leaders to define platform strategy and API standards
  • Mentor engineers and coach the engineering community
  • Lead cross-divisional projects to promote best practices and enhancements

Skills

Software engineering
Solution architecture
Cloud computing
Data architecture
Enterprise architecture
Web technologies
Distributed HPC/ML systems
Programming languages
Public cloud platforms

Education

Bachelor's degree in Computer Science or related field
Master’s degree in Computer Science or Software Engineering

Tools

AWS
Azure
GCP
Go
Java
JavaScript/TypeScript
Python
Rust
C#
Scala
Database systems

Job description

Capital One is seeking a Staff Full-Stack Engineer to lead and shape the next generation of banking technology in the cloud. You will mentor engineers, drive architectural decisions, and push modernization from monoliths to microservices while working with product managers and ML experts.

You will leverage deep expertise across software engineering, cloud platforms, data architecture, and distributed systems to influence platforms and capabilities across the organization.

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