About Datastride Analytics:
Datastride Analytics is a fast-growing data & AI solutions company empowering enterprises to turn complex data into intelligent, actionable outcomes. We help businesses accelerate digital transformation through advanced analytics, AI-driven automation, cloud modernization, and scalable data platforms.
Our flagship product, Sia, is an AI-powered decision intelligence platform that unifies data, automates workflows, and delivers real-time insights to drive smarter, faster business decisions.
If you’re passionate about solving real business problems with data, building intelligent systems, and shaping the future of AI-driven operations, Datastride Analytics is the place to be.
Python Developer (Python + PySpark + NoSQL + Azure)About the Role
We are looking for a Python Developer experienced in building and deploying high-performance, AI-integrated backend systems on Azure. The ideal candidate is proficient in cloud-native architecture, NoSQL data design, and intelligent workflow automation using large language models (LLMs).
You’ll work across the full stack of backend and cloud infrastructure — from API design and data pipelines to AI agent integration, VM orchestration, and RAG-based knowledge systems. This role is ideal for someone who can bridge traditional backend engineering with emerging AI-driven system design.
Key Responsibilities
· Develop, optimize, and maintain scalable APIs using Python (FastAPI or REST frameworks).
· Design and manage NoSQL databases such as MongoDB and graph databases (Neo4j).
· Configure and manage cloud deployment pipelines on Azure Web Apps (experience with GCP/AWS is a plus).
· Integrate LLMs via frameworks like LangChain, or OpenAI APIs, building pipelines.
· Containerize applications using Docker and manage clusters, worker nodes, and scaling.
· Manage environment variables and configurations for multi-environment deployments.
· Implement advanced error handling, logging, and API monitoring.
· Collaborate with cross-functional teams to ensure seamless integration and delivery.
· Contribute to CI/CD pipelines (GitHub Actions) for automated testing and deployment.
· Focus on performance optimization, scalability, and clean coding practices.
· Design and refine prompts for AI agents, integrating LLM-based capabilities into backend systems.
· Support AI-driven workflow orchestration and secure integration with AI APIs or models.
Required Skills
Core Stack:
- Languages: Python (mandatory)
- Frameworks:FastAPI, PySpark
- Databases: MongoDB, Neo4j (Graph DB)
- Cloud: Azure (Web Apps, Functions, VMs, Container Apps), GCP/AWS (is a plus)
- DevOps: Docker, GitHub Actions (CI/CD)
- AI Frameworks:LangChain , OpenAI API
- RAG Systems: Vector databases (e.g., FAISS, Pinecone, ChromaDB) and document embedding techniques
Technical Expertise:
· API design and microservices architecture
· Multi-environment configuration management
· Cloud-native scaling, VM integration, and monitoring on Azure
· AI-driven data processing and contextual retrieval
· Model orchestration and prompt engineering for dynamic workflows
Preferred Qualifications:
· Bachelor’s degree in Computer Science, Information Technology, or related field
· 3–5 years of professional experience as a Backend Developer
· Proven experience with production-level deployments on Azure
· Strong problem-solving, debugging, and code-review skills
· Hands-on experience with LLM-powered applications, RAG pipelines, or LangChain agents
· Familiarity with event-driven architecture, WebSockets, or async I/O systems
Job Types: Full-time, Permanent
Pay: ₹391,647.08 - ₹876,485.32 per year
Work Location: In person
