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

JPMorgan Chase & Co.•Plano, TX

About The Position

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.

Requirements

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)

Nice To Haves

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

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