Lead AI-Driven Cloud-Native Software Engineer

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 160,000 - 230,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Plano, TX, seeks a Lead Software Engineer to architect and deliver scalable cloud-native microservices and AI-enabled capabilities. You will own key technical decisions, drive engineering best practices, and ensure secure, reliable, and production-ready solutions.

You will lead AI-driven features, implement responsible AI practices, and collaborate in a Scrum team to improve code quality, delivery speed, and system observability across complex workloads.

Qualifications

  • Formal training or certification in Software Engineering and 5+ years applied experience.
  • Hands-on AI-assisted software development tools with evaluation of outputs.
  • Understanding of responsible AI use in engineering workflows.
  • Experience with LLMs and generative AI use cases.
  • Experience with distributed systems and major cloud platforms (AWS, GCP, or Azure).
  • Expertise in microservices, RESTful APIs, and data technologies.
  • Ability to influence design and operations within SDLC and security controls.

Responsibilities

  • Design and deliver cloud-native microservices and APIs.
  • Lead AI-driven capabilities and integration into business workflows.
  • Ensure secure coding, peer review, automated testing, and code quality.
  • Collaborate within a Scrum team and promote diversity and inclusion.

Skills

System design
AI/ML integration
Distributed systems
Cloud platforms
Microservices
LLMs
SDLC & security controls
Agile / Scrum
Leadership

Education

Software Engineering degree or related

Tools

AWS
ECS
EKS
PostgreSQL
Docker
Kubernetes
Helm
CI/CD
Python
Java
REST APIs
Hugging Face

Job description

JPMorgan Chase & Co. in Plano, TX, seeks a Lead Software Engineer to architect and deliver scalable cloud-native microservices and AI-enabled capabilities. You will own key technical decisions, drive engineering best practices, and ensure secure, reliable, and production-ready solutions.

You will lead AI-driven features, implement responsible AI practices, and collaborate in a Scrum team to improve code quality, delivery speed, and system observability across complex workloads.

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