Lead Software Engineer - Python, AWS, Agentic AI (ADK/LangGraph)

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

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive end-to-end design and delivery of trusted market-leading technology products.

You will lead hands-on technical work on scalable, secure systems and guide architectural decisions across teams. The role demands strong Python backend skills, production experience with AI applications (ADK/LangGraph), and expertise in API design using REST/FastAPI.

Qualifications

• Expert-level proficiency in Python and strong experience building backend services in enterprise environments.
• Hands-on production experience building AI applications using ADK and LangGraph (mandatory).
• Formal training or certification on software engineering concepts and 6+ years applied experience (or equivalent).
• Strong hands-on experience in system design, application development, testing, and operational stability for production services.
• Strong experience with API design and implementation using FastAPI (or equivalent), including REST service and microservice development best practices.
• Strong understanding of software design principles and patterns and ability to apply them in production systems.
• Experience with relational databases (e.g., Postgres) including strong SQL fundamentals.
• Proficient in coding in one or more languages and able to learn new technologies quickly; able to guide others in adoption and best practices.
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
• Solid understanding of agile methodologies and engineering practices such as CI/CD, application resiliency, performance engineering, and security-by-design.
• Ability to lead technical discussions and drive alignment across stakeholders (design reviews, trade-offs, delivery plans, and risk management).

Responsibilities

• Leads the technical design and implementation of software solutions, including system architecture, component design, and integration patterns.
• Owns hands-on delivery of production AI/agentic applications using ADK and LangGraph (mandatory).
• Defines and implements API design standards (REST/contract-first) and partners with consumers to ensure usability and reliability.
• Writes secure, high-quality, production-ready code (Python preferred) and supports team standards through code and design reviews.
• Designs, develops, and troubleshoots with consideration of performance, resiliency, and operational readiness.
• Builds and maintains AI application quality controls and guardrails appropriate for production use
• Partners with cross-functional teams (Product, Security, SRE, and peer engineering teams) to translate requirements into well-designed APIs and reliable services
• Drives improvements across the SDLC toolchain (CI/CD, test automation, security scanning, dependency management) to improve delivery velocity and quality

Skills

Python

API design

FastAPI

AI applications

System design

CI/CD

Security by design

SQL

Production readiness

Education

Formal training in software engineering

Tools

ADK

LangGraph

PostgreSQL

REST APIs

AWS

Docker

CI/CD tools

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within Cloud Foundation Services, you are a hands-on technical leader on an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will drive business impact by owning end-to-end design and delivery of critical systems and leading engineering execution. You will apply strong technical expertise in API design and production AI application development (ADK/LangGraph) to solve complex problems across multiple technologies and applications.

Job responsibilities

• Leads the technical design and implementation of software solutions, including system architecture, component design, and integration patterns
• Owns hands-on delivery of production AI/agentic applications using ADK and LangGraph (mandatory)
• Defines and implements API design standards (REST/contract-first) and partners with consumers to ensure usability and reliability
• Writes secure, high-quality, production-ready code (Python preferred) and supports team standards through code and design reviews
• Designs, develops, and troubleshoots with consideration of performance, resiliency, and operational readiness
• Builds and maintains AI application quality controls and guardrails appropriate for production use
  Partners with cross-functional teams (Product, Security, SRE, and peer engineering teams) to translate requirements into well-designed APIs and reliable services
• Drives improvements across the SDLC toolchain (CI/CD, test automation, security scanning, dependency management) to improve delivery velocity and quality

Required qualifications, capabilities, and skills

• Expert-level proficiency in Python and strong experience building backend services in enterprise environments
• Hands-on production experience building AI applications using ADK and LangGraph (mandatory), including operating and maintaining them in production
• Formal training or certification on software engineering concepts and 6+ years applied experience (or equivalent experience)
• Strong hands-on experience in system design, application development, testing, and operational stability for production services
• Strong experience with API design and implementation using FastAPI (or equivalent), including REST service and microservice development best practices
• Strong understanding of software design principles and patterns and ability to apply them in production systems
• Experience with relational databases (e.g., Postgres) including strong SQL fundamentals
• Proficient in coding in one or more languages and able to learn new technologies quickly; able to guide others in adoption and best practices
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
• Solid understanding of agile methodologies and engineering practices such as CI/CD, application resiliency, performance engineering, and security-by-design
• Ability to lead technical discussions and drive alignment across stakeholders (design reviews, trade-offs, delivery plans, and risk management)

Preferred qualifications, capabilities, and skills

• Hands-on experience building and operating cloud-based applications on AWS environments
• Familiarity with containers and CI/CD practices in production environments