Department: Engineering
Employment Type: Full-time, remote
About zypl.ai
zypl.ai is a fast-growing AI and FinTech innovator, building scalable, secure, and high-performance platforms that leverage modern backend architectures and machine learning. We operate in a dynamic, collaborative, and distributed environment, enabling top talent from around the world to contribute to impactful products.
Role Overview
We are looking for a Middle+ Python Backend Engineer with a strong background in FastAPI and cloud-native backend development. You will be responsible for designing, building, and maintaining backend services that power our core AI and FinTech products. The ideal candidate has hands-on experience with distributed systems, containerized deployments, and event-driven architectures.
Key Responsibilities
- Design, develop, and maintain high-quality backend APIs and microservices using FastAPI;
- Integrate with internal and external services via REST and message brokers (Kafka);
- Develop AI based services to ensure scalable, secure, and reliable deployments;
- Optimize database queries and design efficient schemas (PostgreSQL, ClickHouse);
- Implement robust monitoring, logging, and alerting solutions;
- Collaborate in code reviews, architecture discussions, and product design sessions;
- Contribute to CI/CD pipelines, code quality standards, and automation processes
Required Qualifications
- Experience: 2–3 years of backend engineering with Python, preferably with FastAPI in production systems;
- Optional: experience in FinTech and/or with ML model–driven products;
- Education: bachelor’s degree (or higher) in STEM (Computer Science, Engineering, Mathematics, etc.);
- Strong knowledge of RESTful API design, micro services, and asynchronous programming;
- Familiarity with event-driven architectures and Apache Kafka (Kraft 3.9+);
- Experience with relational and analytical databases (PostgreSQL, ClickHouse);
- Understanding of containerization and orchestration (Kubernetes).
- Version control and CI/CD expertise (GitLab, SonarQube).
- Knowledge of secure secret management (Azure Key Vault).
Tech Stack You’ll Work With
- Languages & Frameworks: Python, FastAPI, SQL;
- Infrastructure & Tools: kubernetes (K8s) + Vector, GitLab, SonarQube, Azure Key Vault, Cloud Container Registry;
- Data & Messaging: kafka (KRaft 3.9+), ClickHouse, PostgreSQL, Blob Storage (ADLS/default);
- Workflow & Monitoring: airflow, grafana
Soft Skills
- Strong problem-solving abilities and analytical thinking;
- Ability to work independently in a remote-first, asynchronous team;
- Good communication skills in English (written and verbal)
What We Offer
- Remote-first work;
- International, diverse team with a collaborative culture;
- Opportunities to work on cutting-edge AI and FinTech products;
- Competitive compensation and career growth opportunities