Top Engineering Jobs

Build and own runtime infrastructure for agentic AI: orchestration engine, distributed session management, event-driven pipelines, structured concurrency, observability, and caching/state layers to support long-running, low-latency agent sessions at scale.

Design, build, and operate agentic search infrastructure including indexing engines, ingestion/enrichment pipelines, multi-modal and vector indices, entity resolution, and knowledge graph work. Improve scalability, performance, and observability of search clusters and collaborate cross-functionally to deliver production-grade agentic search capabilities.

Advise customers on ServiceNow platform architecture, governance, integrations, instance health, and technical roadmaps. Guide enterprise architects and delivery teams, reduce technical debt, support sales scoping, and promote platform best practices to achieve long-term outcomes.

Build the judgment layer and infrastructure for an agent evaluation platform: orchestration for multi-turn agent scenarios, observability and OpenTelemetry-based tracing, stateful simulation environments, and scalable evaluation pipelines to produce calibrated signals usable for training and gating agent releases.

Advise customers on ServiceNow platform architecture, instance strategy, integrations, governance, and platform health. Collaborate with executives, enterprise architects, and delivery teams to design long-term solutions, reduce technical debt, and scope engagements while contributing ServiceNow leading practices.

Serve as a senior architectural advisor for ServiceNow implementations: design platform strategy, governance, integrations, and roadmaps; reduce technical debt; engage stakeholders and Enterprise Architects; support sales scoping and lead large program architecture for long-term platform success.

Lead a team building user-facing product features that leverage the ML platform. Design scalable, reliable frameworks and APIs, develop full-stack features, resolve production issues, ensure performance and security, and collaborate across teams while participating in code and design reviews.

Design, optimize, and maintain language execution engines and runtime systems (JIT/AOT, memory management) for scalable applications. Own full development lifecycle, implement high-quality reusable code, profile and optimize performance, integrate AI into workflows, collaborate with product owners, and mentor engineers on low-level systems and optimization techniques.

Design, develop, and maintain scalable Workplace Service Delivery applications and workflows. Build new features, support customers during implementations and go-live, ensure security and reliability, mentor teammates, and troubleshoot performance while following engineering best practices and test automation.