Senior Java & AI Engineer — Secure, Scalable Microservices

Next Frontier Capital

Plano (TX)

On-site

USD 130,000 - 180,000

Full time

14 days+
Application generator

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Benefits offered by this job

Health insurance
Retirement savings plan
On-site health centers
Tuition reimbursement
Mental health support

Job summary

JPMorgan Chase & Co. is seeking a senior software engineer to lead AI-assisted development practices, improve code quality, and accelerate delivery.

You’ll craft secure production code, design complex architectures, and drive improvements across the SDLC using tools like Jenkins, Git, and cloud platforms. The role requires expert knowledge in Java/Spring, RESTful APIs, microservices, and strong CS fundamentals, with 8+ years of experience in software development and leadership in AI-assisted

Qualifications

  • Formal training or certification on software engineering concepts.
  • 8+ years of software development experience.
  • Demonstrated experience leading AI-assisted software development tools and validating outputs.

Responsibilities

  • Execute software solutions, design, development, and troubleshooting.
  • Drive adoption of AI-assisted engineering practices to improve code quality and delivery speed.
  • Apply SDLC toolchain knowledge to improve automation value.
  • Produce secure, high-quality production code and maintain algorithms.
  • Create architecture/design artifacts for complex applications.
  • Identify data patterns to drive improvements in coding hygiene and architecture.
  • Contribute to communities of practice exploring new technologies.

Skills

AI-assisted development
Code review
Secure coding
Java
Spring Framework
RESTful APIs
Microservices
CI/CD
GIT/Bitbucket
Cloud platforms

Education

Software engineering certification

Tools

Jenkins
Git
Bitbucket
MS SQL Server
AWS
GCP
Azure

Job description

JPMorgan Chase & Co. is seeking a senior software engineer to lead AI-assisted development practices, improve code quality, and accelerate delivery.

You’ll craft secure production code, design complex architectures, and drive improvements across the SDLC using tools like Jenkins, Git, and cloud platforms. The role requires expert knowledge in Java/Spring, RESTful APIs, microservices, and strong CS fundamentals, with 8+ years of experience in software development and leadership in AI-assisted

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