Lead Software Engineer - Python / Java - AI -Markets Technology, Credit Pre-Trade Technology

Etrading
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Software Applications Automation of Tests C++ (Programming Language) Cloud Engineering Software Quality Code Review Continuous Delivery Continuous Integration Software Debugging
+12 more
DevOps Python (Programming Language) Machine Learning Cloud Services Secure Coding Software Engineering Strategies of Testing AI Coding Agents Production Code Code Restructuring Service Stack Legacy Systems

Job description

troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems Build and support AI-native systems to expand eTrading capabilities, including the development of scalable AI platforms for trading and the modernization of incumbent systems with AI tooling Engage directly with Credit Sales and Trading business partners to understand their strategy and establish technical solutions in partnership with Product teams Architect and build new systems hands-on, leveraging AI-assisted coding and modern engineering practices Develop secure, high-quality production code, and review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability and continually enhance system stability metrics Partner with Level 1 support teams to provide direct support for production systems, ensuring reliability and rapid issue resolution Lead evaluation

Requirements

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 Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability using Python, Java, or C++ Hands-on experience with AI components, with a strong understanding and opinion of their application in modern technology stacks Foundational understanding of cloud services and best practices, with practical cloud-native experience Proficiency in automation and continuous delivery methods, with proficiency across all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as continuous integration/continuous delivery, 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.) Interest in financial markets and trading, with the ability to work directly with Credit Sales and Trading teams to deliver impactful technology solutions Strong communication skills and a passion for advancing technology through AI and modern engineering practices 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 Preferred qualifications, capabilities, and skills Experience building scalable AI platforms for trading or financial services Experience modernizing legacy systems with AI tooling In-depth knowledge of the financial services industry and their technology systems Experience supporting production systems in partnership with Level 1 support teams Demonstrated ability to drive technical innovation and continuous improvement in a fast-paced environment #J-18808-Ljbffr

About the company

Join our Credit Technology team and help architect and build AI-native systems that expand eTrading capabilities for Credit Sales and Trading. This hands-on role blends modern engineering, direct business engagement, and the opportunity to modernize trading platforms with cutting-edge AI tooling. If you’re passionate about advancing technology in financial markets and thrive in a fast-paced, collaborative environment, we want to hear from you. As a Lead Software Engineer at JPMorganChase within Credit Technology, 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 Execute creative software solutions, design, development, and technical

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