At https://jobeax.com/link/zZJkiqRMKprOecn8, we're redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and more. We're looking for a passionate Python Developer who's ready to work on cutting-edge, scalable, cloud-native platforms and help build the next generation of AI-driven products.
Your Responsibilities Design, develop, and maintain robust Python applications. Build & consume RESTful and GraphQL APIs using industry best practices. Containerize microservices with Docker and collaborate on Kubernetes-based deployments. Implement background task queues using Celery, with smart retry and alerting mechanisms. Set up WebSocket consumers via Django Channels for real-time updates. Configure infrastructure on AWS (EC2, S3, RDS), and manage monitoring via CloudWatch. Write automated tests using pytest or unittest with 80% coverage. Integrate external services using webhooks (Stripe, Razorpay, etc.). Contribute to CI/CD pipelines and follow Git best practices. Participate in tech-talks, team learning sessions, and regular code reviews.
Required Qualifications
Bachelor's degree in Computer Science or related field.
2–5 years of experience in Python development.
Strong grip on Python standard libraries and tools (NumPy, etc.).
Experience with API design and integration (REST/GraphQL).
Hands-on with Docker and one major cloud platform (AWS or Azure).
Skilled in automated testing, Git workflows, and CI/CD practices.
Excellent communication and analytical thinking.
Nice to Have Experience with Django and Celery. Familiarity with AI/ML tools (TensorFlow, Keras, PyTorch). Understanding of ML concepts like neural networks & computer vision. Background in data analysis, statistics, or applied mathematics. Contributions to open-source projects are a plus!
Why Join Us Competitive compensation and perks Work on impactful, innovative AI applications A collaborative and learning-focused work culture Opportunity to grow alongside a high-performing tech team
... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
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