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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecture modernization, greenfield product development, and the integration of AI assistants throughout the SDLC. Proficient in code review practices, TDD, and DDD, with a strong focus on delivering value through collaboration and compliance with security and architectural standards.
Highest-signal resume keywords
Proficiency In JavaProficiency In JavaScriptProficiency In TypeScriptExperience With GitLab CI/CDAdvanced Prompting Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Proficiency In JavaProficiency In JavaScriptProficiency In TypeScriptProficiency In Node.jsProficiency In AngularProficiency In ReactProficiency In VitestExperience With GitLab CI/CDExperience With DockerExperience With Kubernetes
Soft Skills
CollaborationKnowledge SharingAgile Methodology
Tools & Technologies
CursorGitHub CopilotClaude CodeGPTGemini
Industry Keywords
Architecture ModernizationGreenfield Product DevelopmentLegacy ReengineeringAI AssistantsTesting ToolchainTDDDDDAgile ScrumKanban
Tech Stack
Tools & technologiesAngularDockerJavaJavaScriptKubernetesNode.jsReactSDLCTypeScript
About the role
Key responsibilities & impact- Work on architecture modernization projects, greenfield product development, legacy reengineering, and consulting engagements
- Use AI assistants at every stage of the SDLC to accelerate delivery without compromising quality
- Technically review generated code and validate each increment through a well-controlled testing pipeline
- Experiment with, test, and industrialize the use of generative AI within technical teams
- Deliver value regularly through a short feedback loop
- Configure and write rules for AI assistants to ensure compliance with security, clean code, and architecture standards
- Conduct augmented code reviews and promote TDD and DDD practices
- Develop an incident-reporting and field-data analysis application to optimize operational reliability
- Create AI agents to assist with troubleshooting equipment failures
- Collaborate in mixed 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 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
- Ability to use and industrialize AI assistants throughout the SDLC
- Strong command of the testing toolchain
- Advanced prompting skills and experience configuring rules for AI assistants
- Rigorous practice of code review, TDD, and DDD
- Ability to work in an Agile Scrum or Kanban environment
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
- Talks, training, and open-source projects
- Modern tech stack and cutting-edge AI tooling
- Responsible company model focused on inclusion, workplace equality, and digital sobriety
- Recruitment and onboarding processes adaptable to specific needs