AI-Native Software Engineer: Build & Coach Pipelines

GlobalLogic

Glasgow

Hybrid

GBP 60.000 - 90.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

GlobalLogic in the United Kingdom (Glasgow/London) seeks a hands-on engineer to help products become AI-native. You will write production code in Java or C#, modernise pipelines, and coach engineers to use AI effectively with Claude Code, Cursor, and related tools.

You’ll work within cross-functional teams, implement AI-native development practices, and contribute to platform tooling and automation efforts. This role blends coding with enabling teams to adopt AI-driven workflows.

Qualifikationen

  • Production experience in Java or C#
  • Hands-on experience with Claude Code or similar tools
  • Experience with AI-native development and AI pair programming
  • Knowledge of CI/CD (GitLab) and platform tooling
  • Experience working in engineering teams and coaching others
  • Ability to navigate ambiguity and understand unfamiliar codebases

Aufgaben

  • Join product squads early and help shape the transformation backlog
  • Reduce tech debt and modernise CI/CD pipelines in production code
  • Create and maintain AGENTS.md / CLAUDE.md files for AI tooling
  • Roll out shared platform assets into live repositories
  • Build Claude Code skills and subagents for automation and reviews
  • Coach engineers on AI-native habits and AI-assisted reviews
  • Share learnings with the Central Platform Team
  • Visit the office at least 2 times per week in London or Glasgow

Kenntnisse

Java/C#
AI tools
CI/CD GitLab

Tools

Claude Code
Cursor
Codex CLI
Cline
Aider
Kubernetes

Jobbeschreibung

GlobalLogic in the United Kingdom (Glasgow/London) seeks a hands-on engineer to help products become AI-native. You will write production code in Java or C#, modernise pipelines, and coach engineers to use AI effectively with Claude Code, Cursor, and related tools.

You’ll work within cross-functional teams, implement AI-native development practices, and contribute to platform tooling and automation efforts. This role blends coding with enabling teams to adopt AI-driven workflows.

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