Sr Lead Software Engineer - KDB - Vice President

J.P. Morgan; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Lead Software Engineer to join their innovative Data Analytics team. This role offers an exciting opportunity to work with KDB technology, developing scalable real-time processing solutions while migrating to AWS. You will be a core contributor, driving technical excellence and operational stability across multiple business functions. If you are passionate about pushing the limits of technology and thrive in a collaborative environment, this position is perfect for you. Join a forward-thinking company and take your career to new heights!

Qualifications

• 7+ years of experience in KDB technology and Q language.
• Hands-on experience in system design and application development.
• Proficient in automation and continuous delivery methods.

Responsibilities

• Develop secure, high-quality production code and troubleshoot technical issues.
• Lead team members and improve coding standards through SDLC.
• Partner with stakeholders to capture requirements and deliver solutions.

Skills

KDB technology

Q language

Agile methodologies

Continuous delivery

Software Development Life Cycle

System design

Application development

Operational stability

Education

Formal training in software engineering

Tools

AWS

Terraform

Kubernetes

Python

C

C++

Java

Job description

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 & Investment Bankyouare 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.

Working within the Data Analytics team you will be are responsible for applications that store large amounts of cross asset market data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS, re-architect our applications and build-out greenfield projects.

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
• 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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Develop core systems and frameworks based on KDB.
• Lead team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards.
• Develop scalable real-time processing solutions using agile methodology.
• Partner with stakeholders to capture requirements and deliver solutions.
• Partner with the application support teams to maintain and support the platform.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering 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
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Development lead experience: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing.
• Deep understanding of KDB technology and Q language. At least 7 years of professional experience using KDB. With at least an additional 2 years as a Lead.
• Deep understanding of KDB+tick design and data organization, performance implications of different approaches.
• Practical experience developing/running large datasets and optimizing query performance.
• Practical experience scaling and load-balancing of KDB applications.
• Practical experience building resilient and high-availability KDB applications.

Preferred qualifications, capabilities, and skills

• Experience with market data venue and vendor data platforms.
• AWS Experience.
• Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud.
• Experience other languages e.g. Python/C/C++/Java.