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Zenika

Java/JavaScript Consultant – AI-Assisted Development

Zenika

. Work on architecture modernization projects, greenfield product development, legacy replatforming and consulting engagements .

Posted 10/22/2026full-timeLille • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecture modernization, greenfield product development, and legacy replatforming while leveraging AI assistants throughout the software development lifecycle. Proficient in ensuring software excellence through rigorous code reviews, TDD, and DDD practices.

Highest-signal resume keywords
Proficiency In JavaProficiency In JavaScriptProficiency In TypeScriptProficiency In GitLab CI/CDStrong Command Of The Testing Lifecycle

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Node.jsAngularReactVitestDockerKubernetesTDDDDDCustom InstructionsAugmented Code Reviews
Soft Skills
CollaborationFacilitation
Tools & Technologies
CursorGitHub CopilotClaude CodeGPTGemini
Industry Keywords
Architecture ModernizationGreenfield Product DevelopmentLegacy ReplatformingAI AssistantsFeedback Loop

Tech Stack

Tools & technologies
AngularDockerJavaJavaScriptKubernetesNode.jsReactSDLCTypeScript

About the role

Key responsibilities & impact
  • Work on architecture modernization projects, greenfield product development, legacy replatforming and consulting engagements
  • Use AI assistants throughout every stage of the SDLC to accelerate delivery without compromising quality
  • Ensure software excellence and maintain control over generated code
  • Validate every increment through comprehensive mastery of the testing lifecycle
  • Experiment with, test and industrialize the use of generative AI within technical teams
  • Deliver value regularly through a short feedback loop
  • Configure AI assistant rules to comply with security, clean code and architecture standards
  • Conduct augmented code reviews and promote TDD and DDD practices
  • Develop an application for reporting anomalies and analyzing field data to optimize operational reliability
  • Create AI agents to help resolve equipment defects
  • Collaborate with blended client/Zenika teams using Scrum or Kanban

Requirements

What you’ll need
  • Proven experience across multiple technical and functional ecosystems
  • Proficiency in Java, JavaScript, TypeScript, Node.js, Angular, React and Vitest
  • Experience with Cursor, GitHub Copilot, Claude Code, GPT or Gemini
  • Proficiency in GitLab CI/CD, Docker, Kubernetes and DDD
  • Strong command of the testing lifecycle and TDD practices
  • Ability to configure and write rules for AI assistants, including custom instructions and .cursorrules
  • Rigorously review generated code and take ultimate responsibility for its quality
  • Ability to conduct augmented code reviews
  • Ability to facilitate business workshops and work with DDD bounded contexts

Benefits

Comp & perks
  • Flexible remote work
  • Respect for personal time
  • Transparent compensation
  • Internal guilds, pair programming and peer knowledge sharing
  • Opportunities to progress into roles such as Lead Developer, Architect, Speaker or Trainer
  • Modern technology stack and cutting-edge AI tools
  • Talks, training and open-source projects
  • Inclusion, equal opportunity, attentive listening and fairness
  • Recruitment and onboarding processes tailored to individual needs