Description

Job Description

• Design and implement end-to-end automation solutions for complex workflows.
• Architect frameworks that integrate multiple tools and services for testing, deployment, and monitoring.
• Build and optimize CI/CD pipelines for rapid and reliable software delivery.
• Implement infrastructure-as-code (IaC) for automated provisioning and configuration.
• Enable AI-driven analytics and automation in QA and operational workflows.
• Integrate ML models into automation pipelines for predictive insights and anomaly detection.
• Architect and manage cloud-based environments (AWS, Azure, GCP).
• Ensure scalability, security, and cost optimization for cloud deployments.
• Develop interactive dashboards using React or Angular for real-time monitoring and reporting.
• Design data pipelines for collecting, processing, and visualizing large datasets.
• Implement secure and efficient data storage and retrieval mechanisms.
• Identify bottlenecks and propose innovative automation strategies.
• Drive continuous improvement through advanced tooling and process optimization.
• Build robust infrastructure for automation frameworks and testing environments.
• Ensure high availability and fault tolerance in deployed systems.

Required Skills

• Programming & Frameworks: Python, JavaScript (React/Angular), REST APIs.
• DevOps Tools: Jenkins, GitHub Actions, Docker, Kubernetes, Terraform.
• Cloud Expertise: AWS, Azure, GCP.
• AI/ML Enablement: Familiarity with ML frameworks (TensorFlow, PyTorch) and AI-driven automation.
• Data Engineering: ETL pipelines, SQL/NoSQL databases.
• Soft Skills: Strong problem-solving, architectural thinking, and cross-functional collaboration.
   

Key Skills

Education

Any Graduate