Senior Backend Engineer | Java & Spring Boot, Cloud

Next Frontier Capital; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to drive end‑to‑end cloud‑native, microservices‑based solutions within Corporate Technology. You will model domain concepts, coach teams, and adopt enterprise AI assisted development practices to elevate code quality, delivery speed, and security.

You will collaborate across business functions to build scalable, secure, and resilient systems, ensuring zero‑downtime releases and advanced data performance.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of hands‑on experience in software engineering, including system design, application development, testing, and operational support.
• Proficiency in back‑end technologies (e.g., Java, Springboot, Node.js) with experience building microservices‑based applications; for full‑stack roles, proficiency also includes front‑end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• Hands‑on experience designing and building scalable applications using SQL and NoSQL databases.
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end‑to‑end solutions in the form of cloud‑native, microservices‑based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best‑in‑class business products, structuring software for clarity, testability, and evolution.
• Develops secure high‑quality production code, and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
• Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.
• Continuously update technologies and patterns to keep systems current.
• Design and build solutions that avoid single points of failure using scalable architectural patterns.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero‑downtime releases and optimize data performance.

Skills

Java

Spring Boot

Node.js

Front-end stack

Cloud platforms (AWS/Azure/GCP)

RESTful APIs

WebSockets

JSON

SQL/NoSQL databases

AI-assisted tooling

CI/CD

Agile methodologies

Security & resiliency

Tools

Docker

Kubernetes

CI/CD tooling

AWS

Job description

JPMorgan Chase is seeking a Lead Software Engineer to drive end‑to‑end cloud‑native, microservices‑based solutions within Corporate Technology. You will model domain concepts, coach teams, and adopt enterprise AI assisted development practices to elevate code quality, delivery speed, and security.

You will collaborate across business functions to build scalable, secure, and resilient systems, ensuring zero‑downtime releases and advanced data performance.