Senior Full Stack Developer

Job Summary

versatile and proactive Full Stack Engineer

Key Responsibilities

• Participate in all stages of the software development lifecycle from requirements analysis and architecture to development, testing, deployment, and maintenance.
• Develop and maintain both backend and frontend application modules.
• Identify, diagnose, and resolve bugs; implement performance improvements and feature enhancements based on user and stakeholder feedback.
• Write clean, efficient, and well-documented code following best practices.
• Maintain and refactor existing systems, design new integrations, and optimize codebases.
• Document implemented solutions and architectural decisions.
• Lead and support product deployments, ensuring smooth rollouts across DEV, PREPROD, and production environments.
• Write and maintain unit, integration, and end-to-end tests to ensure product quality.

Qualifications

• 5 to 10 years of professional experience in software development, product engineering, or a related technical role.
• Proven experience with full-stack development (Python + JavaScript/TypeScript).
• Strong problem-solving and debugging skills, with the ability to work both independently and collaboratively.
• Familiarity with deployment processes, CI/CD pipelines, and version control systems (Git/GitLab/GitHub).
• Excellent communication, collaboration, and documentation skills.
• Experience with AI/ML concepts, computer vision, or media processing is a strong plus.

Skills - Must Have

Languages:

Frameworks:

Databases:

API Design & Integration:

CI/CD & Version Control:

Containerization:

Testing:

Operating Systems:

Skills - Nice to Have

1.. C++

2. AI / ML experience (model training, inference pipelines)

3. Message brokers and additional database technologies (Kafka, RabbitMQ, etc.)

4. Computer vision experience (OpenCV, TensorFlow, PyTorch)

5. Experience with audio/video processing libraries (GStreamer, FFmpeg)

6. Monitoring & observability tools (Prometheus, Grafana)

7. Cloud deployment (AWS, GCP, or Azure) and Kubernetes familiarity