FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAngularDockerJavaJavaScriptKubernetesNode.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
