09/23/2026 updated
100 % available
Senior / Principal Python Backend Engineer | Fintech & Payments | Event-Driven Architecture
Alanya, Turkey
Worldwide
Professional Retraining Program - Backend Development (Python), LearnHub MoscowAbout me
Senior backend engineer with a banking background in fintech, payments and compliance. I build production-grade systems fast, using AI-augmented development without cutting corners on security or architecture. Based in Turkey (UTC+3), working with EU clients.
DevOpsPython (Programming Language)RabbitMQBackendEvent Driven ArchitectureBackend ProgrammingApache KafkaFintechDomain Driven Design
Python Backend Development
Expertise in Python with frameworks such as Django, FastAPI, Litestar, Django REST Framework, and Asyncio for building high-throughput payment, risk, and data platforms in regulated banking environments.
Event-Driven Architecture & Messaging
Deep knowledge of Apache Kafka (streams, partitioning, consumer groups), RabbitMQ, and Celery for designing scalable, event-driven microservices architectures with millions of daily operations.
Microservices & Domain-Driven Design
Proven track record of decomposing monolithic systems into microservices using Domain-Driven Design, Clean Architecture, CQRS, idempotency design, and reconciliation pipelines, reducing system complexity and improving release cadence.
Infrastructure & DevOps
Hands-on experience with Docker, Kubernetes, Helm, GitLab CI/CD, AWS, and blue/green deployments for zero-downtime releases and automated health checks.
Databases
Strong proficiency in PostgreSQL (partitioning, replication, query optimization), Redis, and MongoDB for high-performance data storage and retrieval.
Observability & SRE
Practical experience with Prometheus, Grafana, distributed tracing, SLO/SLA design, and MTTR reduction to ensure system reliability and fast incident response.
Security & Compliance
Knowledge of RBAC, audit logging, data isolation, and regulated banking environment requirements to maintain secure and compliant systems.
ML & LLM Tooling
Experience with pydantic-ai, LangFlow, agentic chat-bot architecture, LLM integration, and secure ML infrastructure, including building in-house AI chat-bot platforms inside bank secure perimeters.
Team Leadership
Leadership of engineering teams of 3 to 8 engineers, achieving 95% on-time delivery and mentoring junior engineers to middle level within 12 months.
Expertise in Python with frameworks such as Django, FastAPI, Litestar, Django REST Framework, and Asyncio for building high-throughput payment, risk, and data platforms in regulated banking environments.
Event-Driven Architecture & Messaging
Deep knowledge of Apache Kafka (streams, partitioning, consumer groups), RabbitMQ, and Celery for designing scalable, event-driven microservices architectures with millions of daily operations.
Microservices & Domain-Driven Design
Proven track record of decomposing monolithic systems into microservices using Domain-Driven Design, Clean Architecture, CQRS, idempotency design, and reconciliation pipelines, reducing system complexity and improving release cadence.
Infrastructure & DevOps
Hands-on experience with Docker, Kubernetes, Helm, GitLab CI/CD, AWS, and blue/green deployments for zero-downtime releases and automated health checks.
Databases
Strong proficiency in PostgreSQL (partitioning, replication, query optimization), Redis, and MongoDB for high-performance data storage and retrieval.
Observability & SRE
Practical experience with Prometheus, Grafana, distributed tracing, SLO/SLA design, and MTTR reduction to ensure system reliability and fast incident response.
Security & Compliance
Knowledge of RBAC, audit logging, data isolation, and regulated banking environment requirements to maintain secure and compliant systems.
ML & LLM Tooling
Experience with pydantic-ai, LangFlow, agentic chat-bot architecture, LLM integration, and secure ML infrastructure, including building in-house AI chat-bot platforms inside bank secure perimeters.
Team Leadership
Leadership of engineering teams of 3 to 8 engineers, achieving 95% on-time delivery and mentoring junior engineers to middle level within 12 months.
Languages
EnglishFluentRussianNative speaker
Project history
Architecting and leading an in-house AI chat-bot platform built on pydantic-ai inside the bank's secure perimeter. Led the DDD microservices transition (8 domain services in 9 months), cutting MTTR from 90 to 18 minutes. Designed a reusable microservice template with Clean Architecture, CI/CD, observability, and security gates. Migrated workloads to Kubernetes/Helm with blue/green deployments. Built LangFlow-based LLM tooling in air-gapped infrastructure with RBAC and audit logging.
Decomposed a monolithic banking backend into microservices, reducing system complexity by 30% and lifting release cadence to 3x/week. Optimized ETL and stream-processing pipelines (throughput x6), enabling near-real-time risk reporting. Rolled out Prometheus/Grafana observability with SLO-driven alerting, cutting user-facing incidents by 40%. Mentored 4 engineers; 3 promoted from Junior to Middle within 12 months.
Built a real-time chat for 1,000+ concurrent users with less than 100ms response time; maintained 99.9% quarterly uptime across e-commerce and LMS services.