Senior Python Engineer (Fintech)

TL;DR

Senior Python Engineer (Fintech): Design, develop, and maintain scalable backend systems and microservices for high-performance financial applications with an accent on event-driven architectures, database optimization, and distributed systems. Focus on building Kafka integrations, optimizing PostgreSQL queries, designing APIs, and ensuring system scalability and reliability under high loads.

Location: Abelian St, Yerevan, Armenia

Company

Technology company with 15+ years in IT, specializing in banking systems, payment solutions, and large fintech applications for global clients.

What you will do

• Design and develop scalable backend services and RESTful APIs
• Build and maintain microservice-based applications
• Develop event-driven integrations using Kafka
• Optimize application performance, database operations, and system reliability
• Participate in architecture design, technical decision-making, and code reviews
• Collaborate with cross-functional teams and troubleshoot production issues

Requirements

• Must be located in Yerevan, Armenia
• Strong commercial experience with Python
• Solid experience with FastAPI and RESTful API development
• Strong knowledge of PostgreSQL, including query optimization and database design
• Hands-on experience with Kafka and event-driven architectures
• Experience designing microservices, distributed systems, and scalable backend architecture
• Experience with Docker, Git, CI/CD, asynchronous programming, system integration, and performance optimization

Nice to have

• Experience with Kubernetes and container orchestration
• Experience with cloud platforms (GCP, AWS, Azure)
• Familiarity with monitoring and logging tools
• Experience with high-load systems and distributed environments

Culture & Benefits

• Work on cutting-edge financial projects involving high-frequency transactions, secure payments, and regulatory compliance
• Utilize modern cloud-native technologies
• Opportunity to elevate career in a reliable fintech partner with global clients