Software Engineer - Data & AI

JPMorgan Chase & Co.; Plano (TX); In loco; USD 61.000 - 101.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase & Co. is seeking an experienced software engineer in Plano to design, develop, and troubleshoot secure solutions. You will work with React/Angular on the frontend and Python/Java/Kotlin on the backend, leveraging AI tooling to improve code quality and delivery speed.

You will own building an agentic data platform and integrate cloud-based data architectures across full-stack components. Responsibilities include developing scalable software, validating AI outputs, and ensuring

Competenze

• We require formal training in software engineering with 3+ years of applied experience.
• Frontend experience with React or Angular and TypeScript is required.
• Backend experience with Python, Java, or Kotlin and REST/GraphQL.
• Experience with Spark, Kafka, Airflow, Snowflake, and AWS.
• Platform engineering with containers, CI/CD, observability, and controlled release practices.
• Applied AI experience with LLMs (Claude Code, agents, RAG, embeddings).
• Prefer experience in financial services or Wealth Management and data governance.
• Bachelors degree; advanced degree is a plus.

Mansioni

• Design, develop, and troubleshoot standard software solutions.
• Write secure, high-quality code with minimal guidance.
• Leverage enterprise AI coding tools to improve code and speed, validated by peer review and testing.
• Design and troubleshoot with awareness of upstream/downstream systems.
• Own the design and development of an agentic production data platform and full stack.
• Apply AI-first mindset when building code and agents for autonomy.
• Develop AI skills, agents, and MCP servers to support product capabilities.
• Apply SDLC and enterprise AI-assisted automation to increase value.

Conoscenze

Software engineering fundamentals

React/Angular + TypeScript

Python/Java/Kotlin

REST/GraphQL

Spark/Kafka/Airflow/Snowflake/AWS

Containers/CI/CD/Observability

AI with LLMs (Claude Code)

Data governance/data management

Formazione

Bachelor's degree in a related field

Advanced degree (MS/PhD) preferred

Strumenti

Docker

Kubernetes

CI/CD tooling

REST/GraphQL tooling

Descrizione del lavoro

Salary: $61,000 - 101,000 per year

Requirements:

• We have formal training or certification in software engineering concepts, along with 3+ years of applied experience.
• We have hands-on experience using enterprise-authorized AI-assisted software development tools in the work environment for coding, testing, troubleshooting, or documentation, and we can critically assess and validate AI-generated output.
• We understand responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• We have frontend experience with React or Angular and TypeScript.
• We have backend experience with Python, Java, or Kotlin, and with REST or GraphQL.
• We have data engineering or platform experience with Spark, Kafka, Airflow, Snowflake, and AWS.
• We have platform engineering experience with containers, CI/CD, observability, and controlled release practices.
• We have applied AI experience with LLMs, including Claude Code, agents, skills, RAG, embeddings, prompt or configuration management, evaluation and guardrails, and agent tool or function calling.
• We prefer experience in financial services or Wealth Management, plus expertise in data governance or data management, and experience evaluating and hardening open-source software.
• We hold a bachelors degree; an advanced degree is a plus.

Responsibilities:

• We execute standard software solution design, development, and technical troubleshooting.
• We write secure, high-quality code using at least one programming language with limited guidance.
• We use enterprise-authorized AI coding tools to improve code quality, delivery speed, and productivity, while validating results through peer review, automated testing, and secure coding standards.
• We design, develop, code, and troubleshoot with awareness of upstream and downstream systems and technical impacts.
• We take hands‑on ownership of designing and developing an agentic production data platform and the full stack application.
• We apply an AI‑first mindset when developing code using Claude Code and when building agents to make the application and platform more autonomous.
• We develop AI skills, agents, and MCP servers to support product capabilities and create business value.
• We apply knowledge of SDLC tools and enterprise-authorized AI‑assisted automation to increase the value delivered by automation.
• We use technical troubleshooting to break down solutions and resolve basic technical issues.
• We gather, analyze, and interpret large, diverse data sets to identify issues and support decision‑making for secure, stable application development.
• We learn and apply system processes, methodologies, and skills to develop secure, stable code and systems.

Technologies:

• AI
• Airflow
• AWS
• Angular
• Backend
• CI/CD
• Claude Code
• Cloud
• Frontend
• GraphQL
• Support
• Java
• Kafka
• Kotlin
• MCP
• Python
• RAG
• REST
• React
• Security
• Snowflake
• Spark
• TypeScript
• Network

More:

We are JPMorganChase, one of the oldest financial institutions, offering innovative financial solutions to millions of consumers, small businesses, and some of the worlds most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans more than 200 years, and we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package based on role, experience, skill set, and location, along with benefits and programs designed to support employee needs, including comprehensive health care, on‑site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We value diversity and inclusion, provide reasonable accommodations where needed, and operate within our Asset & Wealth Management team, where agile technologists work in a cloud‑native, data‑centric environment focused on continuous learning and efficient technology solutions that help our businesses grow and support our clients wealth management goals.

last updated 41 week of 2026