As a Python Developer, you will design and implement automated solutions across cloud infrastructure, testing frameworks, and CI/CD pipelines. Your focus lies in building scalable microservices, developing intelligent automation frameworks, and integrating GenAI-driven enhancements to accelerate testing, provisioning, and deployment workflows.
Key Responsibilities:
- Cloud Automation & Infrastructure
- Develop end-to-end automation scripts in Python for AWS services including S3, IAM, EC2, and Lambda.
- Design and simulate IAM roles and access policies to ensure secure and least-privilege access control.
- Automate provisioning and configuration of S3 buckets, networking, and resource policies.
- Test Automation & BDD Frameworks
- Architect and maintain a Behavior-Driven Development (BDD)-based end-to-end test automation framework using tools like Behave/Pytest-BDD.
- Implement automated validation for RESTful APIs, ensuring integration reliability across distributed systems.
- Integrate test automation into CI/CD pipelines for continuous validation and deployment.
- Maintain reusable pipeline templates for multi-environment deployments.
- Implement containerized workflows and automate image builds using Docker and Helm.
- GenAI-Driven Automation
- Explore and integrate Generative AI models to enhance automation insights, test data generation, and anomaly detection.
- Leverage AI pipelines for predictive analysis and intelligent failure triaging within test frameworks.
- Microservices & API Development
- Develop modular microservices and REST APIs in FastAPI/Flask for automation and orchestration.
- Ensure high availability, logging, and observability through metrics and tracing integrations.
Tech Stack:
Frameworks: FastAPI, Pytest-BDD, Behave
Cloud & DevOps: AWS (IAM, S3, EC2, Lambda), Kubernetes, Docker, Terraform
CI/CD: Jenkins, GitHub Actions
AI/ML: OpenAI / GenAI Integrations
Version Control: Git, GitHub
Monitoring: CloudWatch, Splunk, Prometheus
