6+ Years

Python Expertise
Robust proficiency in Python (6+ years) with a focus on building enterprise-grade backend APIs or data services.
Experience with up-to-date frameworks like FastAPI, Flask, or Django optimized for asynchronous execution.
Understanding of data handling libraries (e.g., Pandas, SQLAlchemy, Pydantic) and integrating with GenAI/LLM frameworks (like LangChain, LlamaIndex, or native AI APIs) is a massive plus.

DevOps & CI/CD
Proven experience building and maintaining secure CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins.
Extensive experience with Infrastructure as Code (IaC) using Terraform or Ansible to manage multi-source cloud environments.
Deep knowledge of cloud platforms (AWS, Azure, or GCP), specifically networking, security policies, and IAM management.





Container Management & Orchestration
Production-level expertise with Docker for containerising microservices and AI workloads.
Deep hand-on experience managing and scaling Kubernetes (EKS, AKS, GKE, or OpenShift) clusters.
Familiarity with Kubernetes constructs (Helm charts, ingress controllers, network policies, and cluster autoscaling).

Data & Monitoring
Comfortable interfacing with distributed data storage solutions (SQL, NoSQL, and Vector databases).
Experience implementing comprehensive observability stacks (Prometheus, Grafana, ELK/PLG, Datadog) to monitor system and query performance.

📌 Devops Python Developer Bangalore Rural (India)
🏢 Datamatics
📍 India