Top Tech Jobs & Startup Jobs in Delhi

As a Senior QA Engineer, you will lead the testing and automation of optical networking systems, ensuring quality and performance through various testing strategies.

As a Staff QA Engineer, you'll define test strategies, drive automation plans, and validate complex systems within optical networking, collaborating across teams to improve quality.

As a SW QA Engineer 2, you'll develop and automate testing for Optical DWDM Equipment, focusing on protocol testing and system security. You'll contribute to test planning, execute tests, and collaborate with cross-functional teams to enhance quality and ensure feature delivery.

As a Staff QA Engineer, you will shape quality strategy for optical networking solutions, define test strategies, and collaborate with cross-functional teams for quality improvements.

As a Senior QA Engineer, you will design test strategies and automation for optical networking solutions, ensuring quality and performance through manual and automated testing, and collaborating with engineering teams.

Design and implement test strategies for 4G/5G core products, develop tools for verification, and ensure high-quality releases.

The role involves auditing processes, ensuring QMS compliance, implementing process improvements, and supporting junior staff in a SMT and box build environment.

The role involves software design and implementation for telecom systems, debugging, and collaborating with hardware teams, focusing on high-quality delivery.

Design, configure and support SAP S/4HANA solutions for Sales & Distribution and Customer Service. Gather requirements, lead process mapping and gap analysis, coordinate integrations and testing, provide SME guidance, support change management and user training, and promote standard solutions to minimize customizations.

Design, develop, and deploy advanced AI/ML models (including LLMs and agentic systems) to improve search, forecasting, text mining, anomaly detection and root-cause analysis. Optimize models and ML pipelines for performance, scalability, and resource efficiency; work with big-data frameworks and vector/search systems.