Software Engineer III - Agentic Data Quality Platform

JP Morgan Chase; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to join a secure, scalable team within Asset & Wealth Management. You will design, develop, and deliver trusted technology products, using React/TypeScript on the front-end and Python/Java/Kotlin on the back-end, with AWS, Snowflake, Kafka, and Spark in the data stack.

Hands-on with AI-assisted development, CI/CD, and observability; you will contribute to secure, stable code and systems while aligning with enterprise security standards.

Qualifications

• Formal software engineering training with 3+ years of applied experience.
• Experience using enterprise AI-assisted development tools and evaluating outputs.

Responsibilities

• Executes standard software solution design, development, and troubleshooting with limited guidance.
• Writes secure, high-quality code using preferred language(s).
• Leverages AI coding assist tools to improve quality, speed, and productivity with peer review.
• Designs and troubleshoots with consideration of upstream and downstream systems.
• Hands-on development of full-stack data platform with project ownership.
• Applies SDLC tooling including AI-assisted development and automation.

Skills

AI-assisted coding

React

TypeScript

Python

Java

Kotlin

REST

GraphQL

Containers

CI/CD

Observability

Release practices

Education

Bachelor's degree in CS/Engineering

Advanced degree (preferred)

Tools

Spark

Kafka

Airflow

Snowflake

AWS

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities:

• Executes standard software solution, design, development, and technical troubleshooting
  Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Hands on design and development of agentic production data platform with full stack application ownership.
• AI first mindset in developing code using Claude Code, building agents to make application/platform autonomous.
• Develop AI skills, agents, MCP server in support of product capabilities to deliver business value
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI‑generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Frontend: React or Angular with TypeScript.
• Backend: Python, Java, or Kotlin with REST or GraphQL.
• Data Engineering/Platform: Spark, Kafka, Airflow, Snowflake, and AWS.
• Platform engineering: containers, CI/CD, observability, and controlled release practices.
• Applied AI with LLMs: Claude Code, Agent, Skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling

Preferred qualifications, capabilities, and skills:

• Preferred financial services or Wealth Management experience, data governance or data management domain expertise, and experience evaluating and enterprise-hardening open‑source software
• Bachelor’s degree required. Advanced degree is a plus