Top Tech Jobs & Startup Jobs in Delhi

Design, develop, and maintain scalable test automation frameworks and suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for test-case generation and anomaly detection, analyze large test/network datasets, and collaborate with development and QA teams on test strategy and defect resolution.

Design, develop, and maintain scalable automation frameworks and automated test suites (functional, regression, performance, end-to-end) for carrier-grade network systems. Integrate tests into CI/CD, apply AI/ML for test generation, anomaly detection, predictive defect analysis, and self-healing. Analyze large test and network datasets, build AI-driven analysis and visualization tools, collaborate with development/product/QA teams, and contribute to test strategy, reviews, and documentation.

Build end-to-end infrastructure for AI agents: design React/TypeScript UIs, implement Python agent harnesses, develop Kubeflow-based MLOps pipelines, fine-tune foundation LLMs (LoRA/QLoRA/SFT/RLHF), deploy and operate services on Kubernetes, integrate agent frameworks, and apply software engineering best practices, testing, and CI/CD.

Design, build, and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD, apply AI/ML for intelligent test generation and anomaly detection, analyze test/network data, and collaborate with development and QA to ensure product quality and faster delivery.

Design and maintain scalable network test automation frameworks and automated test suites. Integrate tests into CI/CD, apply AI/ML for intelligent test generation and analysis, analyze large test and network datasets, build AI-driven analysis tools, and collaborate with development and QA to ensure testability and timely defect resolution.

Design, develop, and maintain scalable test automation frameworks and suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for intelligent test generation and anomaly detection, analyze large test/network datasets, build AI-driven analysis tools, and collaborate with development, product, and QA teams to ensure testability and timely defect resolution.

Design and implement production-grade AI agent harnesses, build and operate MLOps pipelines with Kubeflow, fine-tune foundation LLMs (LoRA/QLoRA, SFT, RLHF), deploy and manage services on Kubernetes, integrate agent frameworks, and apply software engineering best practices to move models from prototype to production.

Design, build, and maintain scalable test automation frameworks and automated test suites for functional, regression, performance, and end-to-end network testing. Integrate tests into CI/CD pipelines, apply AI/ML for intelligent test generation and anomaly detection, analyze large test/network datasets, build AI-driven analysis tools, and collaborate with development and QA teams.

The Network Management Solution Specialist validates service portals for telecom operators, designs test strategies, and mentors junior engineers, focusing on automation and service assurance in complex networks.

The role involves resolving technical network issues, participating in customer projects, and providing support for Juniper products and services.