Backend Engineer

We are looking for a proactive Backend Engineer who is ready to grow while working on a complex, high-load system in the life sciences domain.

This is a challenging role. You will work on non-trivial problems, collaborate closely with experienced engineers, and be expected to take ownership of outcomes - not just complete assigned tasks. We value pragmatic thinkers who can break down complex problems, make sound technical decisions, and consistently deliver incremental value.

In this role, you will:

• Take end-to-end ownership of complex User Stories and actively contribute to feature analysis and solution design, from refining requirements to delivering production-ready solutions.
• Collaborate closely with backend engineers on system design and implementation, proactively proposing technical solutions and taking ownership of decisions within your scope.
• Contribute to the evolution of core backend components and APIs.
• Write clean, maintainable code and participate in refactoring initiatives.
• Optimize database queries and backend components for performance and scalability, and investigate performance bottlenecks in your areas of ownership.
• Break down complex tasks into pragmatic, deliverable increments.
• Proactively suggest backend and technical improvements that enhance product reliability, performance, and maintainability.
• Contribute to improving engineering practices and development processes.

Do you have experience in System architecture?, * 6+ years of experience in software engineering;

• strong foundation in computer science (OOP, data structures, algorithms);
• solid experience with relational databases (e.g., MySQL);
• experience working with ClickHouse (writing and optimizing queries);
• strong proficiency in Java and/or Kotlin;
• strong practical experience with Spring Framework in production systems;
• hands-on experience writing automated tests (functional and integration);
• ability to independently drive complex User Stories to completion and make sound technical decisions within your scope;
• strong practical use of AI tools to improve development efficiency and code quality, with readiness to share effective practices within the team;
• strong communication skills and fluent English;
• interest in life sciences or willingness to work in the domain.

It would be nice if you have:

• knowledge of biology or genetics;
• experience with large datasets or analytical systems;
• knowledge of Python;
• experience with React.js.

• international team of professionals;
• fully paid sick leaves;
• onboarding and domain training for newcomers;
• flexible work schedule.