Java Developer with Kotlin
Łódź, Poland
Tooploox
Discover how to build an AI software product with Tooploox Sp. z o.o., your expert partner in turning innovative ideas into successful digital solutions.Hi there!
We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client portfolio).
Feel invited!
We're looking for a Java developer with Kotlin to join our team, with an opportunity to take a leadership role in developing agent-based commerce solutions. This position focuses on building low-latency, distributed systems while integrating modern cloud-native tools. If you're a proactive problem-solver with a strong grasp of JVM technologies, we’d love to hear from you!
What you will do:
- Develop and Maintain: Write efficient, clean, and scalable code using Kotlin and Java, focusing on building low-latency, distributed systems.
- Collaborate with Stakeholders: Work closely with stakeholders based in New York and teams across Europe to align on project goals and deliverables.
- Integrate Streaming Solutions: Leverage your experience with Kafka to build robust data pipelines and facilitate communication between microservices.
- Work with Cloud Native Tools: Use Docker, Kubernetes, and other cloud-native technologies to deploy and manage scalable services.
- Take Initiative: Adopt a proactive approach to problem-solving, consistently seeking opportunities to optimize processes and improve the overall system architecture.
Experience and skills you need to join us:
- Education: A Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
- Strong JVM Proficiency: Solid experience in the JVM environment, with a preference for Kotlin.
- Experience with Spring Framework: Proven ability to work with Spring Boot for building RESTful services and managing microservices.
- Streaming Platform Knowledge: Experience with streaming platforms such as Kafka, including building high-throughput and scalable solutions.
- Low-Latency System Expertise: Hands-on experience in designing and building low-latency, distributed systems.
- Cloud Native Experience: Proficiency with Docker, Kubernetes, and other tools for managing containerized applications.
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Fluency in Polish and English: You will attend meetings with English-speaking clients.
It would be great if you also have:
- Familiarity with Python and ML Ecosystem: Experience with libraries like PyTorch, ExecuTorch, LangChain, or similar would be a bonus.
- Understanding of AI and ML Pipelines: Ability to work on AI-related tasks, particularly those involving message-based processing or data analysis.
Additional Information:
- Proactive and Culturally Aligned: We value a strong cultural fit and a proactive approach to work, making you a key player in achieving project success.
- Flexible Work Environment: Work with a team spread across time zones, with stakeholders based in New York (6-hour time difference). Effective communication and time management are key.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Data pipelines Distributed Systems Docker Engineering Java Kafka Kubernetes LangChain Machine Learning Microservices Pipelines Python PyTorch Streaming
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