Senior Lead eSoftware Engineer - Java, Algorithmic trading

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead eSoftware Engineer at JPMorgan Chase within the Commercial and Investment Bank, specifically as a part of the Markets Technology, Options Algorithmic Trading sub-line of business, you will play a crucial role in an agile team. Your responsibilities include enhancing, creating, and delivering high-quality technology products that are secure, stable, and scalable. Your technical expertise and problem-solving skills will be vital in tackling various challenges across different technologies and applications. As part of the Electronic Trading Technology (ETT) team, you will be responsible for developing and maintaining the robust technology infrastructure that underpins our electronic trading operations. This encompasses designing and implementing systems for order management, trade execution, market data processing, and risk management. Within the ETT, your primary focus will be on the Options Algorithmic Trading team, where you will work on developing and refining algorithmic trading engines specifically for options instruments.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
•  Develop secure, high-quality production code in Java, and review and debug code written by others to ensure adherence to best practices and performance standards.
• Design and implement algorithmic trading strategies, focusing on optimizing execution and performance in a low-touch trading environment.
• Collaborate with the product team to translate trading strategies into efficient and scalable algorithms.
• Continuously improve and refactor existing codebases to enhance performance, implement comprehensive testing, and ensure the reliability of trading systems.
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

 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) - Java
• Experience with algorithmic trading systems and familiarity with trading protocols such as FIX.
• Practical experience with performance optimization and low-touch system design.
• Strong understanding of data structures, algorithms, and multithreading in Java.
•  Familiarity with financial markets and trading concepts, particularly in equities and options.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience in designing and implementing high-performance, low-touch trading systems. Familiarity with financial data feeds and market data integration, ensuring efficient data handling and processing in trading systems.
• Ability to troubleshoot complex software issues and optimize application performance and reliability.
• Experience with messaging systems such as AMPS or Kafka, particularly in the context of real-time data streaming and processing.
• Experience with Cucumber for behavior-driven development (BDD) and testing, particularly in Java environments.
• Experience with automation tools and scripting languages (e.g., Python, Shell) to streamline testing and reporting.
•  Proficiency in working with Linux operating systems, including scripting and basic administration tasks relevant to trading systems.
• Familiarity with monitoring and logging tools such as Grafana or Splunk for application performance and system health monitoring