Software Engineer III - Java/AWS/Python

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a software engineer to advance enterprise-grade solutions, focusing on Java, Python, and AWS-powered systems.

You will design, develop, and troubleshoot solutions, adopt AI-assisted development practices, and ensure secure, scalable delivery across teams.

The role emphasizes end-to-end delivery, cloud-native design, and ongoing improvement through metrics and automation.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• 5+ years hands-on experience in Java, Python, AWS (EKS, S3, Lambda, EMR) and Terraform.
• Experience leading effective use of AI-assisted software development tools with the ability to set team expectations for AI outputs.
• Strong understanding of responsible AI use in engineering workflows and security considerations.
• Security and infrastructure expertise within cloud environments.
• Cloud-native development experience in AWS focused on robust solutions.
• End-to-end software design and delivery expertise.
• Experience with streaming systems such as Kafka.
• Hands-on experience in system design, development, testing, and operations.
• Proficiency in automation and continuous delivery methods.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Drives team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operations with validated standards.
• Applies SDLC toolchain knowledge to improve value realized by automation.
• Creates secure, high-quality production code and maintains algorithms.
• Leverages AI coding assist tools to improve code quality and productivity, with peer review and testing.
• Produces architecture and design artifacts for complex applications and ensures constraints are met by code.
• Gathers, analyzes, and visualizes data from large datasets for continuous improvement.
• Proactively identifies hidden problems and patterns to drive architectural improvements.

Skills

Java

Python

AWS

Terraform

Kafka

CI/CD

AI-assisted development

Tools

Databricks

EKS

S3

Lambda

EMR

Job description

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

Job responsibilities:

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience
• 5+ years of hands‑on experience in the software industry, specializing in Java, Python, AWS (including EKS, S3, Lambda, EMR), and Terraform.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Strong exposure to security and infrastructure within cloud environments.
• Practical cloud‑native development experience specifically in AWS, with a focus on designing and delivering robust solutions.
• Demonstrated expertise in software design principles and complete end‑to‑end, hands‑on delivery.
• Experience in streaming systems such as Kafka.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.

Preferred qualifications, capabilities, and skills:

• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced proficiency in one or more programming languages.
• In-depth knowledge of the financial services industry and their IT systems.
• Proficiency in Data Engineering concepts and related technologies such as AWS EMR and Databricks. Certifications is a plus