Must have

• Java

• Kotlin

• Degree

• Spring Boot

• Kafka

• Kubernetes

• English (C1)

• Polish (C1)

Nice to have

• AI

• PyTorch

Requirements description

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.

Offer description

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!

Your responsibilities

1. Develop and Maintain: Write efficient, clean, and scalable code using Kotlin and Java, focusing on building low-latency, distributed systems.
2. Collaborate with Stakeholders: Work closely with stakeholders based in New York and teams across Europe to align on project goals and deliverables.
3. Integrate Streaming Solutions: Leverage your experience with Kafka to build robust data pipelines and facilitate communication between microservices.
4. Work with Cloud Native Tools: Use Docker, Kubernetes, and other cloud-native technologies to deploy and manage scalable services.
5. Take Initiative: Adopt a proactive approach to problem-solving, consistently seeking opportunities to optimize processes and improve the overall system architecture.