Posted:3 weeks ago| Platform:
On-site
Full Time
Python DeveloperLocation: Navi Mumbai - In-officeCompany: Arcitech.ai About UsArcitech.ai is at the forefront of AI-integrated software and platform development. We build scalable, cloud-native applications for education, recruitment, marketplaces and more. Join us to work on cutting-edge projects and help shape the future of AI-driven products. ResponsibilitiesDesign, develop and maintain Python applications with a focus on clean, efficient, and well-tested code.Build and consume RESTful or GraphQL APIs following best practices.Containerize microservices using Docker and collaborate on Kubernetes deployments.Implement and monitor background tasks with Celery, including retry strategies and alerting.Integrate third-party services via webhooks (e.g., Stripe, Razorpay).Set up WebSocket consumers using Django Channels to power real-time features.Configure AWS infrastructure as code (EC2, S3, RDS), manage backups and monitoring through CloudWatch.Write unit and integration tests (pytest or unittest) to achieve and maintain ≥ 80% coverage.Follow Git branching strategies and contribute to CI/CD pipeline definitions.Participate in daily tech-talks, knowledge-sharing sessions, and code reviews. Required QualificationsBachelor’s degree in Computer Science or a related field.2–3 years of professional experience working primarily in Python.Strong proficiency with Python standard library and common packages (e.g., NumPy).Solid experience designing and consuming RESTful/GraphQL APIs.Hands-on experience with Docker and at least one cloud platform (AWS or Azure).Proven track record of writing tests with pytest or unittest frameworks.Familiarity with Git workflows and CI/CD best practices.Excellent problem-solving skills and clear communication. Preferred (But not required)Experience with AI/ML frameworks such as TensorFlow, Keras or PyTorch.Prior work with the Django web framework.Understanding of machine learning concepts (neural networks, computer vision, reinforcement learning).Background in data analysis, statistics, or applied mathematics.Exposure to Celery task queues and real-time application patterns.Contributions to open-source Python or AI projects.
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