Lead Software Engineer: AI-Driven Cloud Microservices

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

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

The role emphasizes hands-on Java development, AWS-based infrastructure, and integration of LLM-driven capabilities with business workflows in a fast-paced Agile environment.

Qualifications

• Formal training or certification in Software Engineering and 5+ years applied experience.
• Strong system design, application development, and operational stability skills in production environments.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to evaluate, validate, and refine AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Influence product design, application functionality, and technical operations by proposing pragmatic architectures, tradeoffs, and standards.
• Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, agents, prompt/tool orchestration).
• Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face.
• Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure).
• Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL).
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to validate AI outputs for correctness, performance, and security.
• Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh).

Responsibilities

• Design and develop creative full-stack software solutions using innovative approaches.
• Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establishes validation standards and promotes reuse of patterns.
• Leads usage of enterprise AI coding assist tools to enhance quality and delivery timelines with peer review and automated tests.
• Applies knowledge of SDLC tools, including AI-assisted development and automation, to improve value realized by automation.
• Architect and deliver cloud-native microservices and APIs (REST/streaming) with security and scalability in mind.
• Identify and automate recurring operational issues to improve stability and observability.
• Communicate project status and manage priorities across multiple initiatives.
• Collaborate within a Scrum team, participate in Agile ceremonies, and support a diverse and inclusive culture.
• Code in Java, AWS ECS, EKS, and Postgres.
• Utilize AI agents to improve quality and delivery timelines.

Skills

Software Engineering

System design

Operational stability

AI-assisted development

Responsible AI

Cloud platforms

Java

Python

RESTful APIs

Tools

AWS ECS

EKS

Postgres

Docker

Kubernetes

Helm

CI/CD

PyTorch

TensorFlow

Job description

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

The role emphasizes hands-on Java development, AWS-based infrastructure, and integration of LLM-driven capabilities with business workflows in a fast-paced Agile environment.