Senior Full-Stack Engineer - Cloud & Microservices Leader

capitalone; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Benefits offered by this job

Health benefits

Financial benefits

Job summary

Capital One is seeking a Full-stack Engineer 4 in Chicago to lead a portfolio of microservices and full-stack efforts across a compliant, scalable platform. You will guide a team of developers to deliver cloud-based solutions and mentor engineers in best practices.

You will work with Java, Scala, Python, and leverage Docker, Kubernetes, and AWS/GCP/Azure to enable modern data-driven experiences for customers. Strong collaboration with product managers is essential.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• 4+ years of software engineering experience (internships excluded).
• 2+ years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead a portfolio of diverse technology projects and a senior development team.
• Mentor engineers, promote best practices, and drive architectural standards.
• Collaborate with product managers and deliver cloud-based solutions for customers.
• Work with Java, Scala, Python and modern data stores in AWS/GCP/Azure.
• Utilize Docker, Kubernetes, and CI/CD pipelines to automate delivery.
• Define service boundaries, integration patterns, and reusable components.
• Identify and reduce technical debt while improving system performance.
• Influence long-term technology strategy in a fast-paced environment.

Skills

Java

Scala

Python

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

APIs

Git

Observability

AI tooling

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Computer Science (preferred)

Tools

Docker

Kubernetes

AWS

Job description

Capital One is seeking a Full-stack Engineer 4 in Chicago to lead a portfolio of microservices and full-stack efforts across a compliant, scalable platform. You will guide a team of developers to deliver cloud-based solutions and mentor engineers in best practices.

You will work with Java, Scala, Python, and leverage Docker, Kubernetes, and AWS/GCP/Azure to enable modern data-driven experiences for customers. Strong collaboration with product managers is essential.