Software engineer Javascript

Key Responsibilities Contribute to the design and implementation of AI-driven SDLC accelerators such as code generation, review automation, smart testing, and documentation support. Assist in the development of MCP-based extensions and context-aware tools to streamline developer workflows. Support the application of context engineering to improve LLM reasoning, accuracy, and relevance across engineering use cases. Contribute to building LLM-integrated CI/CD workflows for pull request analysis, test automation, and deployment support. Collaborate with engineering, platform, and product teams to support AI adoption opportunities. Required Qualifications A tech-agnostic mindset with good programming experience in one or more of the following languages: Java, Python, JavaScript, or Kotlin. Experience with integrating LLMs into engineering or product workflows. Familiarity with RAG, embeddings, and vector databases. Experience with containerization and orchestration technologies like Docker and

Kubernetes, and with Infrastructure as Code (Terraform). Experience with intelligent test automation and CI/CD pipelines. Core Competencies MCP Engineering: Interest in building modular, context-aware AI tooling. Context Engineering: Understanding of how to structure inputs for reliable AI reasoning. AI-Augmented Architecture: Eagerness to learn about integrating AI into engineering systems. Product Thinking: Ability to identify high-value GenAI use cases. Benefits Hybrid working: spend 60% of your time in the office and 40% at home, with an option to work for 20 days abroad in approved countries. Development opportunities to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, and a 20% discount across all products. EEO Statement At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.