Senior Backend Engineer (Product Team)

Accountabilities

• Develop, maintain, and optimize backend services that power core product features related to app ratings, reviews, and performance analytics.


• Design and implement systems for automating user interactions with customer reviews, including tagging, response workflows, and reporting capabilities.


• Build and enhance data processing pipelines to generate insights from large-scale user feedback and app store data.


• Contribute to AI-powered product capabilities, including semantic analysis, text summarization, and intelligent automation features.


• Support and improve internal and public APIs connected to core platform data entities.


• Design scalable, secure, testable, and well-documented backend architectures.


• Collaborate with engineering peers to improve system-wide architecture and ensure consistency across services.


• Work with and modernize legacy services while ensuring stability and performance.


• Partner with platform and DevOps teams to ensure smooth deployments and reliable system operations across environments.


• Apply engineering best practices, coding standards, and testing strategies to maintain high-quality software delivery.

Requirements

• 5+ years of professional experience in backend software development.


• 3+ years of experience working with asynchronous Python (asyncio).


• Strong proficiency in FastAPI for building scalable API services.


• Solid experience with relational databases such as MySQL or PostgreSQL, including strong SQL skills.


• Experience working with ORM frameworks, preferably SQLAlchemy.


• Hands-on experience with NoSQL databases such as MongoDB.


• Experience with messaging systems such as RabbitMQ or Kafka.


• Strong understanding of unit testing practices, particularly using Pytest.


• Experience working in distributed systems and scalable backend architectures.


• Upper-intermediate or higher level of English proficiency.


• Strong problem-solving skills, attention to detail, and ability to work in a fast-paced product environment.


• Nice to have: experience with NLP, LLM-based systems, or AI-powered features.


• Nice to have: experience building or integrating LLM applications (RAG, AI assistants).


• Nice to have: familiarity with vector databases and modern AI storage systems.


• Nice to have: experience with data pipelines and orchestration tools such as Airflow or Prefect.


• Nice to have: exposure to AWS or other cloud environments.


• Nice to have: experience in research and development (R&D) or experimental engineering projects.

Benefits

• Fully remote position with the flexibility to work from anywhere.


• Opportunity to work on a globally scaling SaaS product with high technical complexity.


• Paid vacation and sick leave, with flexibility for personal or special occasions.


• Comprehensive benefits package including health insurance, equipment reimbursement, and home office support.


• Employee stock option plan offering long-term ownership in the company’s success.


• Opportunity to attend monthly in-person meetups in European hubs such as Helsinki, Belgrade, Tbilisi, Batumi, and Yerevan.


• Fast onboarding process with strong technical and organizational support.


• High visibility into company strategy, product direction, and technical decision-making.


• Collaborative and international engineering culture focused on knowledge sharing and continuous improvement.


• Access to modern tools, infrastructure, and engineering practices in a high-growth environment.

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