Posted:-1 days ago|
Platform:
Hybrid
Full Time
Years of experience: 3 - 8 Years
Key Responsibilities•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
Allegis Global Solutions (AGS)
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