Executive Algorithmic Trading Software Developer Jobs in Texas

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Equities Electronic Trading 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
• Identify opportunities to eliminate toil or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Understand the requirements and challenges facing our developers from CI/CD perspective and leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Develops secure 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts, computer science, computer engineering and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Have excellent knowledge of at least one mainstream software development language i.e. Java / C++ / Python / GO / Kotlin / TypeScript / C#, etc.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations with experience coaching engineers on safe, compliant and adoption within delivery practices  
• Proficiency in low latency, real-time, scalable trading systems, and familiarity with algorithmic trading, including systematic trading
• Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing to the buildout of Equities technology org
• Have overall understanding of 'what's the proper way of building efficient software' - and the implications of circumventing the guardrails which are in place.
• Ability to tackle design and functionality problems independently with little to no oversight, and hands on experience with FinOps
• Familiar with CI/CD and understand what, why, where, how, when it comes to using one of the following i.e., Jenkins, TeamCity, etc.
• Knowledge around building/dealing with high throughput messaging APIs, middleware products

Preferred qualifications, capabilities, and skills

• 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.)
• Be curious about the next generation of modern engineering tools, processes and practices