Top Tech Jobs & Startup Jobs in Mumbai

Lead architecture and development of agentic AI solutions for optical networks: design agent orchestration, memory, tool integration, guardrails, and human-in-the-loop workflows; convert processes into autonomous/semi-autonomous automation; document designs and best practices for scalable delivery.

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.

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.