Sr. Full-Stack Developer
Richmond VA (Hybrid - 3 days) - Only W2
Interview Process: 1-hour Technical Interview to Hire.
Skills Assessed:
- REST API Design AWS Cloud Services (Lambda etc) TypeScript Core JavaScript React or Angular
Overview:
Join Capital Ones Risk Technology team to help build and scale an internal assessmentplatforman application that supports risk evaluation and mitigation for financial decisioning. Youll work closely with product managers designers and engineering leads to deliver robust APIs and dynamic UI components that drive internal decision-making processes.
Key Responsibilities:
Design and develop scalable APIs using and TypeScript.
Build responsive UI components in Angular integrating designs from Figma.
Participate in 2-week sprint cycles including sprint planning design reviews and daily standups.
Collaborate with product managers to define API requirements and system architecture.
Implement unit and end-to-end testingto ensure code quality and reliability.
Understand and support deployment processes using Jenkins pipelinesfor AWS services.
Coordinate with cross-functional teams including business process and ontology teams.
Contribute to the evolution of the Future of Assessmentsproduct which determines risk and mitigation tasks for new credit card launches.
Required Qualifications:
5 years of experience in full-stack development.
Strong skills in Core Vanilla JavaScript
Strong proficiency in and TypeScript.
Hands-on experience with Angular(preferred) and familiarity with Reactor suitable
Solid understanding of API scalability asynchronous programming in and system design principles.
Experience with AWS servicessuch as Fargate Lambda Messaging and S3.
Familiarity with Jenkinsand CI/CD pipelines.
Ability to work in a fast-paced collaborative environment with multiple stakeholders.
Preferred Qualifications:
Background in machine learningor data-driven applications.
Required Skills:
Core Vanilla
Sr. Full-Stack DeveloperRichmond VA (Hybrid - 3 days) - Only W2 Interview Process: 1-hour Technical Interview to Hire. Skills Assessed: - REST API Design AWS Cloud Services (Lambda etc) TypeScript Core JavaScript React or AngularOverview:Join Capital Ones Risk Technology team to help build and sca...
Sr. Full-Stack Developer
Richmond VA (Hybrid - 3 days) - Only W2
Interview Process: 1-hour Technical Interview to Hire.
Skills Assessed:
- REST API Design AWS Cloud Services (Lambda etc) TypeScript Core JavaScript React or Angular
Overview:
Join Capital Ones Risk Technology team to help build and scale an internal assessmentplatforman application that supports risk evaluation and mitigation for financial decisioning. Youll work closely with product managers designers and engineering leads to deliver robust APIs and dynamic UI components that drive internal decision-making processes.
Key Responsibilities:
Design and develop scalable APIs using and TypeScript.
Build responsive UI components in Angular integrating designs from Figma.
Participate in 2-week sprint cycles including sprint planning design reviews and daily standups.
Collaborate with product managers to define API requirements and system architecture.
Implement unit and end-to-end testingto ensure code quality and reliability.
Understand and support deployment processes using Jenkins pipelinesfor AWS services.
Coordinate with cross-functional teams including business process and ontology teams.
Contribute to the evolution of the Future of Assessmentsproduct which determines risk and mitigation tasks for new credit card launches.
Required Qualifications:
5 years of experience in full-stack development.
Strong skills in Core Vanilla JavaScript
Strong proficiency in and TypeScript.
Hands-on experience with Angular(preferred) and familiarity with Reactor suitable
Solid understanding of API scalability asynchronous programming in and system design principles.
Experience with AWS servicessuch as Fargate Lambda Messaging and S3.
Familiarity with Jenkinsand CI/CD pipelines.
Ability to work in a fast-paced collaborative environment with multiple stakeholders.
Preferred Qualifications:
Background in machine learningor data-driven applications.
Required Skills:
Core Vanilla
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