Description :

Python Backend Developer.

Were looking for a Python backend engineer with hands-on experience in Django and/or Flask, strong ORM/database skills, and excellent problem-solving and communication abilities.

Experience with containerization (Docker/Kubernetes) and cloud services (AWS/GCP) is an added advantage.

Responsibilities :

- Design, develop, and maintain backend services and RESTful APIs in Python.

- Model data using ORMs (Django ORM/SQLAlchemy), design schemas/migrations, and optimize queries for relational databases.

- Build reliable, scalable services with attention to performance, correctness, and enterprise-level scale.

- Implement observability (structured logging, metrics, tracing) and own production troubleshooting and root-cause analysis.

- Collaborate with frontend, DevOps, and QA to deliver features end-to-end; participate in code reviews and maintain clear documentation.

- Mentor junior engineers and contribute to engineering best practices and process improvements.

Requirements :

- Strong proficiency in Python and experience building backend services with Django and/or Flask (FastAPI a plus).

- Solid understanding of REST, HTTP, and API design; familiarity with auth patterns (JWT/OAuth2).

- Proficiency with ORMs and relational databases (e.g., PostgreSQL/MySQL); experience with migrations (Django migrations/Alembic).

- Expert troubleshooting and debugging skills across application, database, and systems layers.

- Strong problem-solving mindset; comfortable with data structures, concurrency (asyncio/celery), and performance tuning.

- Experience with Git and CI/CD; habit of writing unit/integration tests (pytest or equivalent).

- Excellent verbal and written communication; able to produce clear specs/design docs and contribute in feature/design reviews.

- Team-oriented and self-driven; thrives in a dynamic, small-company environment.

Added Advantage (Nice to Have) :

- Containerization and orchestration : Docker, Kubernetes (Helm an extra plus).

- Cloud platforms : AWS and/or GCP (e.g., EC2/EKS/GKE, RDS/Cloud SQL, S3/GCS, IAM, VPC basics).

- Caching, queues, and search: Redis/Memcached, RabbitMQ/Kafka, Elasticsearch/OpenSearch.

- Observability stacks: Prometheus/Grafana, ELK/EFK, OpenTelemetry.

- Security best practices for services and APIs (OWASP, secrets management, least privilege).