Top Tech Jobs & Startup Jobs in Delhi

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Design, build, and maintain scalable test automation frameworks and CI/CD-integrated test suites for carrier-grade network systems. Apply AI/ML for intelligent test generation, anomaly detection, and predictive analysis. Analyze test/network data, develop visualization tools, collaborate with development and QA teams, and contribute to test strategy, reviews, and documentation to improve quality and delivery velocity.

Design and develop C/C++ modules for embedded systems, focusing on FPGA programming, device drivers, and network protocols in a Linux environment while mentoring teams.

The Continuous Improvement Engineer ensures production quality and efficiency at manufacturing partners, collaborating with cross-functional teams, managing customer complaints, driving quality improvements, and implementing advanced manufacturing methodologies.

Design, develop, and maintain AI-driven software and automation solutions; define APIs, optimize automation workflows, resolve integration/performance issues, support CI/CD and SCM, mentor DevOps engineers, and coordinate cross-functional delivery.

Support design, integration, verification, and testing of hardware, software, and systems. Develop and execute test plans and automated scripts, report defects, build AI-assisted verification frameworks, create data pipelines and dashboards, and maintain test environments for optical networking platforms.

Conduct targeted research and perform integration, verification, and testing of hardware, software, and systems. Develop and maintain Python-based automation and test frameworks, validate systems against requirements, analyze test data to identify defects, maintain lab equipment and test environments, troubleshoot integration issues, collaborate with cross-functional teams, and document verification activities and results.

Lead data science efforts by analyzing large datasets, developing and deploying ML models, building scalable data pipelines, designing experiments (A/B testing), creating visualizations, and mentoring junior team members to drive data-driven decisions.

Define and implement core domain strategy for cloud-native application and network function deployment automation. Lead architecture (HLD/LLD), CI/CD and AI-enabled automation solutions, migration strategies, design reviews, RCA and cross-functional escalations, and mentor teams to improve delivery velocity and operational efficiency.

Perform target-oriented R&D to apply findings to product design and incremental improvements. Integrate, verify, test, and modify SW/HW/system components for VoIP/IMS/VoLTE products, develop and execute test strategies, use traffic simulation and automation tools, and troubleshoot voice quality, protocols, and interfaces.