Lead Software Engineer - Python full stack

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Post Trade Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure and high-quality production code, and reviews and debugs code written by others 

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

   

 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Python
• Strong Analytical and problem solving skills.
• Solid technology background with experience in object oriented programming.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as 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.)

   

• Practical cloud native experience

 

Preferred qualifications, capabilities, and skills

• Knowledge of AWS Data Source
• Knowledge of Python language.
• Experience with SecDB / Athena / Quartz platform. 
• Macro Trading Business knowledge.
• In-depth knowledge of the financial services industry and their IT systems