Python Backend Developer
7 days ago
Role Overview
We are seeking an experienced
Python Backend Engineer
to design, develop, and maintain backend services and APIs for high-performance applications. The ideal candidate will have a deep understanding of server-side technologies, data modeling, and system architecture, with a passion for clean, maintainable, and scalable code.
Key Responsibilities:
- Design, develop, and maintain
RESTful APIs
and backend services using
Python frameworks
(Django, Flask, or FastAPI). - Collaborate with
Frontend Developers, DevOps, and QA teams
to deliver robust, high-quality software solutions. - Optimize application
performance, scalability, and security
. - Design efficient
database schemas
and write complex queries for
relational (MySQL, PostgreSQL)
and
NoSQL (MongoDB, Redis)
databases. - Integrate
third-party APIs and services
as needed. - Troubleshoot, debug, and upgrade existing systems.
- Implement
best practices
for code quality, testing, and documentation. - Participate in
code reviews
, contribute to architecture discussions, and mentor junior developers.
Required Skills and Qualifications:
- Bachelor's or Master's degree in
Computer Science, Information Technology
, or related field. - 4–5 years of
hands-on experience
in backend development using Python (Django, Flask, or FastAPI). - Strong expertise in building
scalable, secure RESTful APIs
and
microservices
. - Proficiency with databases —
MySQL, PostgreSQL, MongoDB, Redis
. - Experience with
cloud platforms
(AWS, Azure, or GCP). - Familiarity with
containerization and orchestration
tools (Docker, Kubernetes). - Good understanding of
CI/CD pipelines
, version control systems (Git), and
Agile/Scrum methodologies
. - Strong
problem-solving
and
analytical
skills. - Excellent
communication
and
team collaboration
abilities.
Technical Environment:
- Programming Language:
Python (Django, Flask, FastAPI) - Database:
MySQL, PostgreSQL, MongoDB, Redis - Cloud Platforms:
AWS / Azure / GCP - Containerization & Orchestration:
Docker, Kubernetes - Version Control:
Git, GitHub / GitLab - CI/CD Tools:
Jenkins, GitHub Actions, GitLab CI, or similar - Monitoring & Logging:
Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) - Architecture:
Microservices, RESTful APIs - Development Methodology:
Agile / Scrum
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