Lead Backend Engineer - AI-Driven Code Intelligence

Aumni

Glasgow

Vor Ort

GBP 130.000 - 170.000

Vollzeit

14 Tage+

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Zusammenfassung

JPMorgan Chase is seeking a Lead Software Engineer to design and build core systems for a source code intelligence platform. You will work on distributed indexing, multi-language analysis, and interfaces for AI agents to query code.

This handon technical lead role requires writing code daily across JVM and systems-language stack, guiding a small team, and shaping scalable software for a regulated financial enterprise.

Qualifikationen

  • Proficiency in Python or Java for backend development.
  • Strong understanding of AI concepts and practical application.
  • Experience with distributed systems architecture.
  • Ability to design and optimize data models and data structures.

Aufgaben

  • Lead the design and development of backend systems using Python or Java
  • Build and enhance distributed indexing and search infrastructure for source code intelligence
  • Develop multi-language semantic and AST analysis capabilities
  • Create interfaces for AI agents to query and validate code
  • Apply AI techniques to enable large-scale code search, vulnerability discovery, and SDLC automation
  • Streamline engineering processes to improve productivity and quality
  • Collaborate with cross-functional teams to deliver robust solutions
  • Mentor and guide junior engineers
  • Evaluate and integrate emerging technologies, including Claude AI capabilities
  • Drive continuous improvement in development workflows and foster an inclusive and innovative team culture

Kenntnisse

Python
Java
AI concepts
Distributed systems
Data modelling
Mentoring
Problem solving

Jobbeschreibung

JPMorgan Chase is seeking a Lead Software Engineer to design and build core systems for a source code intelligence platform. You will work on distributed indexing, multi-language analysis, and interfaces for AI agents to query code.

This handon technical lead role requires writing code daily across JVM and systems-language stack, guiding a small team, and shaping scalable software for a regulated financial enterprise.

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