Senior Software Engineer - Full-Stack, Cloud & Microservices

Next Frontier Capital; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in New York, NY. You will be a seasoned member of an agile team, designing and delivering trusted market-leading technology products in a secure, scalable way.

You will contribute across multiple technical areas to support the firm’s objectives and participate in a culture of diversity and inclusion. You will develop secure, high-quality production code, create architecture artifacts, and drive improvements with data-driven insights.

Qualifications

• 3+ years hands-on software development experience
• Experience in system design, application development, testing, and operational stability
• Solid understanding of SDLC and Agile practices (CI/CD, security)
• Experience in large corporate environments with modern languages and databases

Responsibilities

• Executes software solutions and design, solving problems beyond routine approaches
• Creates secure, high-quality production code and maintains relevant algorithms
• Produces architecture and design artifacts for complex apps and ensures constraints are met
• Gathers and analyzes data to support visualizations and reporting for continuous improvement
• Identifies hidden data patterns to improve coding hygiene and system design
• Contributes to engineering communities and explores emerging technologies
• Supports a diverse, inclusive team culture and collaboration

Skills

Java

Spring Boot

REST API

Kafka

Microservices

React

Job description

JPMorganChase is seeking a Software Engineer III in New York, NY. You will be a seasoned member of an agile team, designing and delivering trusted market-leading technology products in a secure, scalable way.

You will contribute across multiple technical areas to support the firm’s objectives and participate in a culture of diversity and inclusion. You will develop secure, high-quality production code, create architecture artifacts, and drive improvements with data-driven insights.