Lead Software Engineer - AI/LLM, Java/Python on AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to drive the design, development and delivery of trusted, market-leading technology products in a secure, scalable environment.

You will mentor engineers, establish engineering standards, and advance cloud-native microservices, AI-enabled workflows and robust CI/CD practices across the team. This role emphasizes strong collaboration, on-call readiness, and delivering production code primarily in Java (and Python as needed) on

Qualifications

• Formal training or certification in Software Engineering and 5+ years of applied experience building production systems.
• Strong system design, application development, and operational stability skills in production environments (including on-call/incident ownership).
• Expertise designing and building microservices and RESTful APIs, with strong knowledge of data technologies and integration patterns.
• Hands-on experience building cloud-native systems on at least one major cloud platform (AWS, GCP, or Azure).
• Experience with distributed systems concepts (scalability, resiliency, concurrency, idempotency, failure modes, and performance tuning).
• Proven ability to influence product design and technical direction by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Demonstrated experience leading effective team use of approved AI-assisted development practices (coding, code review, test acceleration, troubleshooting), including setting expectations and reusable validation patterns.
• Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, summarization/extraction, workflow assistants), including evaluation and monitoring considerations.
• Understanding of responsible AI use in engineering workflows (data sensitivity, safe handling of inputs/outputs, resiliency/security expectations) and ability to guide peers on safe and effective usage.
• Strong communication and stakeholder management skills; ability to deliver across multiple initiatives and drive outcomes through ambiguity.

Responsibilities

• Design and develop creative full-stack software solutions using innovative approaches aligned to business outcomes.
• Build and implement AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
• Architect and deliver cloud-native microservices and APIs with strong security controls, scalability, resilience, and performance.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices (e.g., CoPilot, Claude) to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
• Mentor and develop engineers through code reviews, pairing, technical guidance, and feedback; raise the bar on engineering excellence and continuous improvement.
• Establish and own engineering standards across the team (architecture patterns, coding standards, testing strategy, operational readiness).
• Define and operate service reliability practices (SLIs/SLOs, incident response, root-cause analysis, postmortems, and continuous reliability improvements).
• Identify recurring operational issues and automate remediation to improve system stability and observability (logs/metrics/tracing).
• Build and maintain CI/CD pipelines and release strategies (quality gates, canary/blue-green, rollback/feature flags) to enable safe, predictable delivery.
• Communicate status and risks clearly; manage priorities and dependencies across multiple initiatives; collaborate in a Scrum team and participate in Agile ceremonies.
• Deliver production code primarily in Java (and Python as needed) using AWS (e.g., ECS) and related technologies.

Skills

Java

Python

Microservices

REST APIs

AWS

CI/CD

AI tooling

Mentoring

Agile/Scrum

Education

Software Engineering degree

Tools

Docker

Kubernetes

ECS

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to drive the design, development and delivery of trusted, market-leading technology products in a secure, scalable environment.

You will mentor engineers, establish engineering standards, and advance cloud-native microservices, AI-enabled workflows and robust CI/CD practices across the team. This role emphasizes strong collaboration, on-call readiness, and delivering production code primarily in Java (and Python as needed) on