Job description

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).

We're on the lookout for a Senior Java Developer to take on a pivotal role in our team. You'll be at the heart of building robust Java applications, focusing on modern development frameworks. If you're someone who loves to merge traditional software development with innovative AI technologies, this role is tailor-made for you. Here's what your journey with us would look like:

What You Will Do:

Develop, Test, and Maintain: Create high-quality Java code that's both efficient and scalable.
Collaborate Like a Pro: Work closely with cross-functional teams to continuously design, develop, and deploy innovative features.
Troubleshoot and Optimize: Identify and solve performance bottlenecks and bugs to ensure smooth application operations.
Be Architecturally Astute: Contribute your insights during architectural reviews, propose cutting-edge technologies, and validate new solutions.
Engage in AI Integration: Utilize your Java expertise to integrate AI technologies, enhancing our services and delivering forward-thinking solutions that align with our business goals.

What You Will Bring:

Education: A Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. Advanced degrees are a plus.
Java Frameworks: Proficient in Java, with a strong command of Spring Boot and GraphQL.
Software Design Guru: Deep knowledge of software design patterns and principles, ensuring everything we build is scalable and maintainable.
Tech Skills: A robust understanding of object-oriented programming, experience with both relational and NoSQL databases, and expertise in writing unit and integration tests using frameworks like JUnit.
Soft Skills: Exceptional problem-solving, communication, and collaboration skills.

Nice to Have:

Experience with Streaming Technologies: Familiarity with data streaming technologies like Kafka, Spark, and similar frameworks.
AI Expertise: Skills in AI-based modules, particularly in Large Language Models (LLMs) and prompt engineering.

Required profile