Fullstack Developer (he/she)

O projekcie: Our projects 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. Position We are currently looking for a candidate for the position of Fullstack Developer (he/she) for our client from the biotechnology industry. Offered salary Salary: from 15 000 to 17 500 PLN gross/month, depending on experience and competences. About The Project You will join the Enterprise Search Platform Team as a Search Specialist responsible for maintaining and optimizing the enterprise search platform powered by Sinequa technology. Your mission will be to ensure high performance, scalability, and relevance of the search ecosystem that supports critical business use cases across the organization. This role focuses on the full platform lifecycle — from data source indexing and connector management to relevancy tuning and development of search-based applications. What We Offer  - Long-term collaboration - Technical training, certifications, and skills development - Competence Center mentoring - being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day - Clear career path - Employee benefits package (Multisport, private healthcare, life insurance) - Friendly working atmosphere, team-building events, and team-building meetings Ref number AO221284 Wymagania: You’re ideal for this role if you: - Have a minimum of 4 years of professional experience in the same or a similar role (Enterprise Search Specialist, Search Engineer, Search Platform Engineer, or related) - Hold a Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field - Have hands-on experience with Sinequa or similar enterprise search platforms (e.g., Elasticsearch, Apache Solr, Coveo) - Have working knowledge of Amazon Web Services (AWS) and Google Cloud Platform (GCP) - Are proficient in at programming/scripting language such as Angular, Python, .NET (or Java) - Have experience with data integration tools and techniques (REST API, Postman) - Understand search concepts such as indexing, query processing, and relevancy tuning - Communicate effectively with both technical and non-technical stakeholders - Have experience with COTS configuration, DevOps practices, CI/CD pipelines, and toolchains supporting off-the-shelf technologies - Have fluent English (written and spoken), as you will work in an international environment Nice to have: - Experience with additional enterprise search technologies such as Elasticsearch or Apache Solr - Background in Natural Language Processing (NLP) and Machine Learning applied to search - Solid understanding of search algorithms and Information Retrieval principles - Experience with data taxonomy, metadata management, and data governance best practices - Proven track record in search performance optimization (low latency, high relevance) Codzienne zadania: - 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