DevOps Python Developer

6+ Years

Python Expertise

• Strong proficiency in Python (6+ years) with a focus on building enterprise-grade backend APIs or data services.
• Experience with modern 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.