Java Developer (e-commerce)

Development of an e-commerce project for a client that is one of the largest companies in this sector in the country.

Our expectations

• Minimum 5 years of experience as a Java Developer
• Proven track record as a Software Engineer delivering highly complex solutions
• Knowledge and experience with the Java ecosystem: Java, Kotlin, Groovy, Spring Framework; and other languages: Python, Go
• Experience with Apache Spark, Apache Hadoop, Apache Mesos, and TensorFlow
• Knowledge of engineering practices and methodologies: TDD, DDD, CI/CD, Pair Programming
• Fundamental experience and strong interest in AI-driven solutions, particularly LLM integration and agentic systems/frameworks
• Ability to lead the design and implementation of complex system features and components
• Strong ownership of delivered solutions, including code quality, stability, scalability, and observability (monitoring, logging)
• Experience driving architectural decisions and evaluating technical trade-offs
• Proficiency in identifying and managing technical risks, dependencies, and technical debt
• Ability to evaluate technical decisions through the lens of user impact, rather than solely fulfilling specifications
• Strong collaboration skills when working with engineers, Product Managers, and UX/UI Designers
• High autonomy and accountability, characteristic of contractor roles
• Advanced Polish and English communication skills, at least B2 level
• Openness to hybrid work from the client’s Warsaw office

Welcome Skills

• Practical experience with cloud environments, preferably GCP, and Kubernetes
• Experience working with large-scale, distributed systems
• Experience in cross-team collaboration within complex organizational structures
• Technical mentorship and knowledge sharing within the project team
• Ability to advise on technical best practices and optimize engineering standards across the project

Key tasks

• Design, build, and maintain highly scalable, robust Kotlin-based features and distributed components, taking full ownership of code quality, observability, and technical debt management
• Drive implementation of AI capabilities by integrating LLMs, agentic frameworks, and smart automation into the core platform to enhance the end-user experience
• Act as an autonomous contributor in a specialist team; collaborate with Product Managers, UX Designers, and cloud engineers on GCP/Kubernetes; evaluate trade-offs, manage technical risks, and mentor the team