Top Engineering Jobs

Design, build, and maintain scalable cloud infrastructure and GitOps platform; provision tooling; partner with product teams to improve developer velocity, reliability, observability, and operational excellence.

Lead and mentor an engineering team owning tier-1 backend and data platform services. Design and build highly available, high-throughput services, evolve architecture for scale, and collaborate cross-functionally to integrate robust data solutions.

Build and evolve a high-scale data platform (mondayDB) and end-to-end data applications. Own backend-focused full-stack features, collaborate with product and design, improve architecture, and deliver production-quality user-facing systems.

Lead the Resilience Group to ensure platform availability and fast incident response. Define technical strategy, remove platform bottlenecks, improve observability, traffic shaping, and reliability engineering. Manage and develop Team Leaders, own incident practices, and drive end-to-end reliability programs.

Own and architect infrastructure for running AI coding agents and user-created apps at scale. Build sandboxed execution environments, edge deployment and CDN delivery, CI/CD pipelines, observability, and production operations. Partner with engineers on architecture, reliability, cost management, incident response, and developer velocity across the Vibe platform.

Design and build large-scale observability systems: intelligent log-routing agents, AI-driven anomaly detection, alert governance, metric storage optimization, telemetry cost control, and SLO/SLI standardization across cloud and platform infrastructure.

Lead the Core Retrieval Platform group to ensure unified, fresh, low-latency data retrieval. Define technical strategy with the Group Tech Lead, manage and develop Team Leaders, partner with stakeholders to enable product and AI agent capabilities, and drive end-to-end architecture delivery and operational improvements for large-scale data processing and search.

Lead SRE-focused projects to build AI/LLM-driven reliability tooling and self-healing systems. Define SLIs/SLOs, guide architecture for resilience, automate incident response, embed validation in CI/CD, champion Chaos Engineering, manage internal platforms, and mentor engineers.

Own design, implementation, and operation of IT infrastructure for the New York office and global teams. Manage cloud platforms, enterprise SaaS, networking equipment, security controls, monitoring, automation and incident response. Lead infrastructure projects end-to-end, apply scripting and AI-assisted tooling to streamline operations, and collaborate with security, procurement, and R&D. Participate in on-call rotations and ensure resilience, compliance, and cost optimization.

Lead engineering for the Agentic OS by managing Data, Knowledge, and Context layers; partner with Product for AI agent orchestration.