Top Tech Jobs & Startup Jobs in Mumbai

Lead architecture and evolution of large-scale Kubernetes-based platforms. Translate business needs into scalable HLD/LLD solutions, set cloud-native best practices, guide engineering teams, support implementation and production troubleshooting, and improve platform capabilities across CI/CD, observability, and security.

Conduct target-oriented R&D to design, develop, test, and improve integrated hardware/software systems. Lead small projects or teams, manage builds/releases, apply quality standards, train lower support tiers, and implement configuration and build tools to meet customer technical requirements.

Validate and test Layer 2/Layer 3/MPLS access network software for the Lightspan product family. Design and execute functional and regression tests, use packet generators (Spirent/IXIA), create test beds, troubleshoot hardware/software issues, collaborate with R&D/product teams, mentor juniors, and improve automation and software architecture.

Lead 6G radio research, focusing on AI-native PHY design and MIMO technologies. Shape standards strategy and collaborate with teams to ensure technology advancement.

Lead architecture and design of DWDM/OTN optical transport systems, translate customer requirements into system and functional specifications, guide cross-functional teams, produce detailed architectural documentation, and ensure alignment across hardware, software, verification, and documentation for carrier-grade networking products.

Design, implement, and maintain embedded Linux network software (L2/L3 forwarding, GPON, WLAN). Analyze customer requirements, refactor modules, perform board bring-up, device driver work, debugging, RCA, and collaborate cross-team to deliver customer-focused features.

Monitor and analyze mobile network performance, diagnose root causes, and implement optimizations (QoS, parameter tuning, software upgrades). Act as SME for OEMs, lead technical domains, run benchmarking and carrier aggregation analysis, validate NPO tools, and collaborate cross-functionally to meet SLA KPIs and regulatory requirements.

Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.