Senior Backend Engineer (Product Team)
TLDR
Build and scale backend services for a global SaaS platform handling app performance, reviews, and analytics, with AI-powered features in a product-driven team.
- 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.
- 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.
- 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.
Requirements
Benefits
Benefits
Health Insurance
Comprehensive benefits package including health insurance, equipment reimbursement, and home office support.
Learning Budget
Opportunity to work on a globally scaling SaaS product with high technical complexity.
Tools and infrastructure access
Access to modern tools, infrastructure, and engineering practices in a high-growth environment.
Paid Time Off
Paid vacation and sick leave, with flexibility for personal or special occasions.
Remote-Friendly
Fully remote position with the flexibility to work from anywhere.
Stock Options
Employee stock option plan offering long-term ownership in the company’s success.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services