Software Engineer III - AWS

JPMorgan Chase & Co.; Plano (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III in Plano, Texas, to enhance its AI/ML & data Platforms team. You will be tasked with designing and developing market-leading technology products while ensuring security and scalability. The role requires a strong understanding of software engineering principles, cloud environments, and agile methodologies.

Qualified candidates should have over 3 years of experience and be proficient in languages such as Python and Java, alongside a solid grasp of AWS Data Management tools.

Qualifications

• 3+ years of applied experience in software engineering.
• Experience with AI-generated outputs and validation.
• Knowledge of AWS tools like Glue, EMR, Athena, Redshift.

Responsibilities

• Design and deliver trusted technology products.
• Develop secure and high-quality production code.
• Gathers and develops reporting from large data sets.

Skills

Software engineering concepts

AWS Data Management

Python

Java

Agile methodologies

Education

Formal training or certification in software engineering

Tools

Terraform

Enterprise-authorized AI-assisted software development tools

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 Corporate Sector's AI/ML & data Platforms team, 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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
• Develops and implements secure Data Lake solutions within the AWS environment.
• Development of IaaS (Infrastructure As A Code) development including Terraform configuration script, Python scripts or Java programming to create services and resources in AWS Cloud environment

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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Knowledgeable of AWS Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation
• Proficient in Python or Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Overall solid knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

• Knowledgeable of Terraform or other IaaS experience
• AWS certification on Solutions Architect Associate / Developer level
• Other advanced level certification on programming languages.
• Knowledge working with PCI and sensitive data workloads