Senior Lead Software Engineer - AI-Driven Delivery & Impact

Next Frontier Capital

Plano (TX)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Sector – Enterprise Technology. You will guide agile teams, develop secure production code, and drive AI-assisted engineering practices across the SDLC to improve quality and delivery.

You will mentor engineers and influence product design and operations. The role emphasizes leadership, deep technical expertise, and the ability to tackle complex, cross‑functional challenges across multiple technologies and

Qualifications

  • Formal training or certification in software engineering concepts.
  • Hands-on design, development, testing, and operational stability experience.
  • Advanced in one or more programming languages.
  • Experience leading enterprise‑level AI-assisted software development tools.

Responsibilities

  • Provides technical guidance to business and teams, contractors and vendors.
  • Develops secure, high-quality production code and reviews others' code.
  • Drives adoption of AI-assisted engineering practices with measurable validation standards.
  • Applies SDLC toolchain knowledge to improve automation at scale.
  • Leads product design decisions and technical operations processes.
  • Acts as a function-wide subject matter expert in areas of focus.
  • Mentors and grows talent within the team.

Skills

Python
AWS EKS
AWS ECS
CI/CD
Leadership
Agile methodologies

Tools

Terraform
Django
Localstack
Javascript

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Sector – Enterprise Technology. You will guide agile teams, develop secure production code, and drive AI-assisted engineering practices across the SDLC to improve quality and delivery.

You will mentor engineers and influence product design and operations. The role emphasizes leadership, deep technical expertise, and the ability to tackle complex, cross‑functional challenges across multiple technologies and

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