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Full Stack Big Data Lead Software Engineer - Liquidity Risk

JP Morgan

Location: Glasgow City

Job Type: Full time


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

As a Full Stack Big Data Lead Software Engineer in Liquidity Risk at JPMorgan Chase, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • End to end ownership including requirements, design, build, testing and deployment leveraging automation at all levels
  • Creation and performance tuning of data processing pipelines as well as applications/services
  • 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 and high-quality production code, and reviews and debugs code written by others
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Practical cloud native experience
  • Experience with Java services with Spring Boot
  • Experience performance tuning and applying modelling concepts with data (SQL and/or no-SQL)

Preferred qualifications, capabilities, and skills

  • Experience with big data technologies such as Spark (ideally with Scala), Hadoop, Databricks or related technologies
  • Experience implementing design/architecture patterns (e.g. resiliency and security patterns)
  • Advanced hands on experience with AWS
  • Experience leading design sessions, reviewing code and influencing stakeholders