Python Software Developer jobs in United States

Social network you want to login/join with:

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

As a Software Engineer III at JPMorgan Chase within the Equities Trading Data & Analytics Organization, 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 developing critical technology solutions across multiple technical areas within various business functions to support the firm’s business objectives.

Within the Data Analytics team, you will be responsible for applications that store large amounts of Options data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS and re-architect our applications.

• Execute creative software solutions, design, develop, and troubleshoot technical issues, thinking beyond routine or conventional approaches to build solutions or resolve problems.
• Develop secure, high-quality production code, review, and debug code written by others.
• Contribute to a team culture of diversity, equity, inclusion, and respect.
• Develop core systems and frameworks based on KDB.
• Develop scalable real-time processing solutions using agile methodology.
• Partner with stakeholders to capture requirements and deliver solutions.
• Collaborate with application support teams to maintain and support the platform.

• Formal training or certification in software engineering concepts and advanced applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Understanding of KDB technology and Q language, with at least 2 years of professional experience using KDB.
• Understanding of KDB+ tick design and data organization, with knowledge of performance implications of different approaches.
• Practical experience developing and running large datasets and optimizing query performance.
• Experience building resilient and high-availability KDB applications.

• Experience with Terraform and Kubernetes in managing a production environment in the public cloud.
• AWS experience.
• Experience with other programming languages such as Python, C, C++, or Java.
• Experience with market data venues and vendor data platforms.