Fullstack Developer (he/she) - Full remote (F/M)

At the Engineering Competence Center, we deliver services and projects for the Automotive, Rail, and Oil & Gas sectors. Our specialized engineering teams work within project and competency groups, whose activities we manage. We also conduct training and certification programs to enhance the engineering competencies of our consultants.

We are currently looking for a candidate for the position of Fullstack Developer (he/she) for our client from the biotechnology industry.

• Minimum of 4 years of professional experience in the same or a similar role (Enterprise Search Specialist, Search Engineer, Search Platform Engineer, or related)
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• Hands-on experience with Sinequa or similar enterprise search platforms (e.g., Elasticsearch, Apache Solr, Coveo)
• Working knowledge of Amazon Web Services (AWS) and Google Cloud Platform (GCP)
• Proficient in programming/scripting languages such as Angular, Python, .NET (or Java)
• Experience with data integration tools and techniques (REST API, Postman)
• Understanding of search concepts such as indexing, query processing, and relevancy tuning
• Effective communication with both technical and non-technical stakeholders
• Experience with COTS configuration, DevOps practices, CI/CD pipelines, and toolchains supporting off-the-shelf technologies
• Fluent English (written and spoken)

• Maintaining and supporting Google Cloud Search and related extensions (e.g., gSite SearchPlus)
• Configuring, customizing, and maintaining the Sinequa search platform
• Implementing data ingestion procedures using connectors and APIs
• Developing, testing, debugging, and documenting search-based applications
• Integrating advanced search capabilities into new and existing applications
• Monitoring and optimizing search performance, including indexing and relevancy tuning
• Troubleshooting issues related to search indexing, relevance, and data retrieval
• Ensuring data quality, taxonomy consistency, and index integrity
• Collaborating with Product Owners, Solution Architects, developers, and data experts to translate business requirements into technical solutions
• Implementing security best practices to protect sensitive data within search solutions
• Continuously improving user experience by gathering feedback and enhancing search interfaces
• Staying up to date with enterprise search trends and leveraging new platform capabilities to drive

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