Informacje o stanowisku

Development of an e-commerce project for a client that is one of the largest companies in this sector in the country. A project utilizing AI and NLP technologies for large-scale analysis and processing of text content, supporting key digital platform functionalities such as search, content quality, and process automation

Our expectations

• Extensive, at least 5 years, experience with Kotlin and Java witch proven track record in delivering high-complexity solutions.

• Strong knowledge of Spring, Gradle, Reactor, and Azure Spring Apps.

• Practical experience working within a microservices architecture.

• Familiarity with databases such as MongoDB, CosmosDB, and Elasticsearch.

• Proficiency in designing and working with REST APIs.

• Experience and a strong interest in AI-based solutions, specifically LLM integration.

• Ability to lead the design and implementation of complex system functionalities and components.

• Strong sense of ownership over delivered solutions, including code quality, stability, scalability, and observability (monitoring, logging).

• Experience in architectural decision-making and evaluating technical trade-offs.

• Ability to identify and manage technical risks, dependencies, and technical debt.

• Evaluating technical decisions and high level of autonomy and accountability.

• Good command of English (B2/C1 level).

• Readiness to work in a hybrid workmodel, fostering a collaborative and engaging team environment.

Nice to have

• Hands-on experience with cloud environments (GCP preferred) and Kubernetes.

• Experience working with large, distributed systems.

• Experience in cross-team collaboration within complex organizational structures.

• Providing technical consultancy and knowledge sharing within the project team.

• Advising on technical best practices and optimizing engineering standards within the project.

Main responsibilities

• Software development within a development team using agile methodology

• Participation in team meetings and collaborative creation and execution of assigned tasks

• Active involvement in delivering increasingly better programming solutions throughout the full project lifecycle — code reviews, testing others’ changes, deployment, maintaining cloud infrastructure, and creating documentation

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