Python Backend Engineer

Design, implement, and maintain robust backend services and RESTful/GraphQL APIs using Python.

Collaborate with product and frontend teams to translate requirements into scalable technical solutions and clear API contracts.

Build and maintain data models, database schemas, and data access layers (SQL and NoSQL) to support product features and performance goals.

Implement background processing, task queues, and scheduled jobs for asynchronous workloads and long-running tasks.

Write automated unit, integration, and end-to-end tests; participate in code reviews and maintain high code quality standards.

Participate in system design and architecture discussions to improve scalability, reliability, and observability.

Work with DevOps and SRE practices to deploy, monitor, and troubleshoot services in cloud environments (e.g., AWS, GCP, Azure).

Support CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes) efforts to streamline release processes.

Optimize performance and resource utilization, conduct load testing, and resolve production incidents when required.

Document systems, APIs, runbooks, and design decisions; mentor peers and contribute to team best practices.

Participate in Agile ceremonies including backlog grooming, sprint planning, reviews, and retrospectives.

## Desired Candidate Profile

• *Minimum Experience:
• 7 years of relevant python backend engineering experience with 3 years in similar role
• *Behavioral Competencies:
• Ability to structure different business problems into relevant data use cases and solutions.
• Proven problem-solving skills regarding unstructured, uncertain problems.
• Experience in managing smaller team of data in end-to-end delivery of different use cases.
• Familiarity with Data bases, relational and non relational, understanding of real time systems and Kafka.
• *Technical Competencies:**
• Python : Expert
• FastAPI, Django Restframework, Cloud Run : Expert
• Knowledge of Authentication, Roles management : Expert
• CI/CD and docker containerization : Basic