JPMorgan Software Engineer III 

United Kingdom, England, London 

77389696

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Building and supporting KDB+ API used to surveille and visualize real-time and historical etrading activities
• Advancing next-gen implementation of FICC KDB platform by combining best-of-class on-prem and cloud-based engineering solutions
• Developing Grafana and Datadog interactive dashboards devoted to reconciliation of etrading flows and SRE aspects of the platform

Required qualifications, capabilities, and skills

• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Excited to face technical challenges that address front-office surveillance of realtime etrading activities and flows
• Efficient in KDB+ technology and Q language
• Expert in building Grafana and Datadog dashboards visualizing large amounts of timeseries KDB data, preferably in cloud-based deployments

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies