Software Engineer III - KDB + Python Developer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III - KDB + Python Developer at JPMorgan Chase within the Commercial & Investment Bank - Markets Technology Team, you will contribute to our “Market Data” and "Orders & Execution" KDB database, central to our Cash Equity business. This role is pivotal in managing vast historical and real-time data, driving decisions and strategies across financial and trading platforms. You will be working with a large user data set and will be providing services for mission critical trading applications.

Job Responsibilities :

• Write Q code, develop and maintain applications using our KDB and Python technology stack.
• Analyze, design and implement solutions for regular business enhancement requests and collaboration with global peers.
• Implement new compliance and regulatory guidelines for data systems.
• Contribute in Planning, testing and automation of regular production releases of applications.
• Communicate with global stakeholders, handle regular user queries and L3 production support requests.

Required qualifications, capabilities, and skills :

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience in the end to end development in the financial sector.
• Experience in KDB+ and python including experience of writing Q code, optimization and troubleshooting.
• Proven track record with KDB, design patterns, troubleshooting, optimization.
• Demonstrated ability in managing real-time application for high-stakes financial operations.
• Able to make decisions in a fast-paced and pressurized environment.
• Strong work ethic and delivery focused.
• Strong communication skills.
• Proficiency in dynamic teamwork, and goal oriented environments.
• Organizational skills to be able to juggle multiple responsibilities while maintaining focus.

Preferred qualifications, capabilities, and skills :

• Experience with cloud environments and deployments
• Experience with geographically distributed teams