Top Tech Jobs & Startup Jobs

Design and implement high-performance management-plane systems for large-scale distributed networking, focusing on databases, replication, transactions, telemetry, and APIs. Lead complex architecture and performance optimizations, mentor engineers, and deliver production-quality code and system designs.

Develop and maintain core infrastructure for a large-scale distributed networking system (high-availability, data management, security, telemetry). Write and debug C/C++ code, optimize for performance, and mentor junior engineers.

Lead end-to-end finance systems and AI implementations for NetSuite and integrations. Translate accounting requirements into configurations, automate processes, build AI-enabled workflows and assistants, ensure controls and audit readiness, run testing/UAT, and drive adoption across Finance.

Develop and optimize high-performance GPU/NPU software stack components for distributed AI training and inference. Build memory management, runtimes, framework integrations (Triton, PyTorch, JAX), profile and optimize performance, collaborate across hardware, network, QA, and AI teams, and produce well-tested, documented code.

Manage month-end, quarter-end, and year-end closings under US GAAP; implement internal controls; oversee bookkeeping and foreign subsidiaries; handle AP, cash, banking, billing, VAT, payroll coordination, audits, and annual financial statements; support ad hoc accounting and finance projects.

Lead architecture and evolution of the DriveNets Automation Platform, defining automation frameworks for lifecycle management of Network Cloud at hyperscale. Bridge network infrastructure, NOS internals, Kubernetes-native microservices, OSS/BSS integration, telemetry, CI/CD, and AI-assisted operational automation while collaborating with engineering, SRE, product, and customers.

Lead end-to-end program and release management for large-scale networking and platform software across a global engineering organization. Translate strategy into multi-quarter roadmaps, govern release lifecycles, integrate AI-enabled tooling for forecasting and risk detection, align cross-functional stakeholders, and build a scalable Program & Release Management organization to ensure predictable, high-quality deliveries.