Software Engineer III – PySpark/AWS/Databricks

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

Job summary

JPMorgan Chase & Co. in Plano, Texas, is seeking a Software Engineer III to join Corporate Technology, focusing on agile, secure, scalable technology products. You will design, develop, and troubleshoot production-quality software across multiple domains.

The role emphasizes AI-assisted development, strong SDLC discipline, data-driven improvements, and collaboration with peers to ensure security and performance at scale.

Qualifications

• 3+ years of software engineering experience in design, development, testing and operational stability.
• Experience building secure, production-grade code and algorithms.
• Proficiency in one or more modern programming languages and SQL.
• Experience with enterprise AI-assisted development tools and secure coding practices.
• Knowledge of SDLC and agile practices including CI/CD and security.
• Understanding of responsible AI use and data sensitivity in engineering workflows.
• Experience with Python, PySpark, Big Data, Data pipelines, Machine Learning.
• Strong SQL skills and data quality validation at scale.

Responsibilities

• Executes software solutions, design, development, and debugging across multiple tech areas.
• Produces secure, high-quality production code and maintains algorithms.
• Leverages AI coding assist tools to improve code quality and speed, with peer review and testing.
• Applies SDLC tools and automation to improve value realization.
• Creates architecture and design artifacts for complex applications and ensures design constraints are met.
• Develops visualizations and reports from large data sets for continuous improvement.
• Identifies hidden data patterns to drive improvements in code hygiene and architecture.

Skills

Software design

Code development

Agile methodologies

AI-assisted development

Data analysis

SQL

Data pipelines

Spark

AWS

CI/CD

Tools

Spark

Databricks

AWS

CI/CD 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 Technology, 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 breakdown technical problems
• 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
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Good knowledge of Machine Learning modelling as an engineer
• Experience in working with one or more programming language(s) and framework(s) (i.e., Python, PySpark, Big Data, Data pipeline, Machine Learning, etc.)
• Strong SQL skills with ability to validate features and data quality at scale
• Experience configuring and optimizing Spark clusters for processing large data.
• Hands-on experience working with AWS services including EMR, EC2, S3, and CloudWatch
• Working knowledge on Databricks in creating Data Pipelines, Machine learning models deployment.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Experience in Cloud Technologies (i.e., AWS - Databricks preferred)
• Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
• AWS certifications (e.g. Solutions Architect Associate)
• Exposure to workflow orchestration tools (Apache Airflow, Control M etc)