Software Engineer III - Python, Automation Testing, Playwright

Join us to shape innovative technology solutions and advance your career in a collaborative, growth-focused environment. Leverage your expertise to make a meaningful impact on our AI/ML & Data platform team.

As a Software Engineer III at JPMorganChase within the AI/ML & Data platform team, you design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You play a critical role in executing technology solutions across multiple technical areas to support our business objectives. You will collaborate with a diverse team and contribute to a culture of innovation and continuous improvement. Together, we drive impactful results for the firm and our clients.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to improve software applications and systems
• Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in Python Automation, Playwright, UI/API Automation, Data Testing
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the software development life cycle
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies like AWS