Lead Software Engineer – Data Engineering, PythonKDB

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

As a Lead Software Engineer at JPMorganChase within the Electronic Trading Technology team you will play a pivotal role in designing and deliveringhigh-performance scalable solutionsthat power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise inany of Python/KDB and who can leverage their knowledge ofAIto drive innovation in data engineering analytics and automation. Experience leveraging AI in development analytics or SDLC use cases is a critical enabler for this role.

Job responsibilities

• Lead technical initiativesacross global analytics teams providing guidance and direction to engineers contractors and vendors in a high-velocity environment.
• Design build and optimize real-time data processing pipelines and applications ensuring reliability and performance for mission-critical financial systems.
• Leverage AI technologies and techniquesto enhance data engineering workflows automate SDLC processes and deliver advanced analytics capabilities for trading and research.
• Collaborate with research and trading teams worldwideto onboard new datasets efficiently and consistently supporting global business needs.
• Build and support robust tools and frameworksfor quantitative research and production trading including scalable APIs and analytics libraries.
• Mentor and develop team members manage book of work and drive continuous improvement in SDLC testing and coding standards across distributed teams.
• Influence product design application functionality and technical operations/processesto meet the demands of a rapidly evolving financial landscape.
• Serve as a subject matter expertin Python KDB/Q data engineering and AI contributing to firmwide best practices and technical excellence.
• Champion diversity inclusion and collaborationwithin large global teams.

Required qualifications capabilities and skills

• Bachelors degree in computer science Engineering Mathematics or other related disciplines
• 5 years of applied experience in software engineering preferably in large-scale fast-paced financial environments.
• Hands-on experience delivering system design application development testing and operational stability for analytics-driven teams.
• Strong expertise in any of Python/KDB for real-time data processing application development or data engineering.
• Working knowledge of AI technologies(machine learning generative AI etc.) to support data engineering analytics or SDLC automation.
• Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies (CI/CD Application Resiliency Security).
• Experience leading and mentoring teams in a global collaborative environment.
• Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.
• Academic background in Computer Science Computer Engineering Mathematics or a related technical field.

• Experience with market data venue and vendor data platforms.
• AWS experience; practical cloud native/cloud experience is a plus.
• Experience with Terraform and Kubernetes for managing production environments in public cloud.
• Strong knowledge and experience in FIX Market Data Analytics OMS and equities trading in global markets are assets.
• Knowledge of machine learning statistical techniques and related libraries.