Java Developer with Kotlin

Hi there!

We are Tooploox, an AI software development company offering custom AI solutions and services. We help innovative companies and startups design and build digital products with generative AI, mobile, and web technologies.

Our team, consisting of nearly 200 experts including our R&D team of over 40 engineers, many with PhDs, has pioneered AI solutions across industries like healthcare, fashion, and e-commerce. We’ve published over 15 research papers in top conferences like NeurIPS and ICML.

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.


• 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.