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Zenika

AI Software Engineer Consultant – SDLC

Zenika

. Use AI assistants at every stage of the SDLC to accelerate delivery without compromising quality .

Posted 11/10/2026full-timeNantes • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates proficiency in AI Development Assistants and a strong command of programming languages such as Java and JavaScript, while applying TDD and DDD practices to ensure high-quality code delivery. Capable of collaborating effectively within agile methodologies and contributing to architecture modernization and operational reliability.

Highest-signal resume keywords
AI Development Assistants ProficiencyJava ProgrammingJavaScript ProgrammingGitLab CI/CDTDD and DDD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaJavaScriptTypeScriptNode.jsAngularReactVitestTDDDDDTesting Toolchain
Soft Skills
CollaborationCritical Code ReviewAccountability
Tools & Technologies
CursorGitHub CopilotClaude CodeGPTGeminiDockerKubernetes
Industry Keywords
SDLCAgile MethodologiesArchitecture ModernizationGreenfield DevelopmentLegacy Transformation

Tech Stack

Tools & technologies
AngularDockerJavaJavaScriptKubernetesNode.jsReactSDLCTypeScript

About the role

Key responsibilities & impact
  • Use AI assistants at every stage of the SDLC to accelerate delivery without compromising quality
  • Maintain technical ownership of generated code and validate every increment through testing
  • Experiment with, test, and industrialize the use of generative AI within technical teams
  • Deliver value regularly through a short feedback loop
  • Configure and write prompting rules to ensure compliance with security, clean code, and architecture standards
  • Conduct augmented code reviews and promote TDD and DDD practices
  • Contribute to architecture modernization, greenfield development, legacy transformation, and consulting projects
  • 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 and participate in guilds, pair programming, and peer knowledge sharing

Requirements

What you’ll need
  • Proven experience across multiple technical and functional ecosystems
  • Proficiency with AI development assistants: Cursor, GitHub Copilot, Claude Code, GPT, and Gemini
  • Proficiency in Java, JavaScript, TypeScript, Node.js, Angular, React, and Vitest
  • Proficiency in GitLab CI/CD, Docker, Kubernetes, and DDD
  • Strong command of the testing toolchain
  • Ability to configure and write rules for AI assistants, including custom instructions and .cursorrules
  • Experience with TDD and DDD practices
  • Rigorous approach to critical code review and final accountability for generated code
  • Ability to work with Scrum or Kanban methodologies

Benefits

Comp & perks
  • Flexible remote work
  • Genuine respect for personal time
  • Transparent compensation
  • Internal guilds, pair programming, and peer knowledge sharing
  • Career development opportunities: Lead Developer, Architect, Speaker, or Trainer
  • Talks, training, and open-source projects
  • Equal treatment, inclusion, and workplace equality
  • Recruitment and onboarding processes adapted to individual needs