About the role
Development of an e-commerce project for a client that is one of the largest companies in this sector in the country.
Our expectations
- Min. 5 year of experience as Java Developer
- Proven track record as a Software Engineer in delivering highly complex solutions.
- Knowledge and experience with 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 & methodologies: TDD, DDD, CI/CD, Pair Programming
- Fundamental experience and a strong interest in AI-driven solutions, particularly in LLM integration and agentic systems/frameworks.
- Ability to lead the design and implementation of complex system features and components.
- Strong sense of ownership over delivered solutions, including code quality, stability, scalability, and observability (monitoring, logging).
- Experience in driving architectural decisions and evaluating technical trade-offs.
- Proficiency in identifying and managing technical risks, dependencies, and technical debt.
- Evaluating technical decisions through the lens of user impact, rather than solely fulfilling specifications.
- Strong collaborative skills in working alongside engineers, Product Managers, and UX/UI Designers.
- High level of autonomy and accountability, characteristic of contractor roles.
- Advanced communication skillis both in Polish and English (at least B2 level).
- Open to hybrid work from the client's Warsaw office.
Nice to have
- Practical experience with cloud environments (GCP preferred) and Kubernetes.
- Experience working with large-scale, distributed systems.
- Experience in cross-team collaboration within complex organizational structures.
- Providing technical mentorship and knowledge sharing within the project team.
- Advising on technical best practices and driving the optimization of engineering standards across the project.
Main responsibilities
- 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 the technical implementation of cutting-edge AI capabilities by integrating LLMs, agentic frameworks, and smart automation into the core platform to directly enhance the end-user experience.
- Act as a true autonomous contributor within a team of specialists and collaborate closely with Product Managers, UX Designers, and cloud engineers on GCP/Kubernetes while evaluating trade-offs, managing technical risks, and mentoring the team.
