Top Engineering Jobs

Build scalable, reusable software using sound engineering practices, AI tools, code reviews, unit testing, and test automation. Own features from design through delivery, collaborate with product owners, design extensible customer functionality, and enhance existing products. The role requires Java or similar object-oriented programming, JavaScript, Lit.js, web platform knowledge, data structures, algorithms, design patterns, performance considerations, and development tools.

Define enterprise platform vision, strategy, standards, and governance for ServiceNow. Guide architecture, integrations, data models, scalability, performance, and technical-debt decisions. Facilitate governance forums, influence executives and delivery teams, mitigate platform risks, promote leading practices, and provide feedback to product and engineering teams. The role may require travel up to 50% annually.

Define enterprise ServiceNow platform vision, strategy, standards, and governance. Guide architecture across integrations, instance strategy, and data models; facilitate governance forums; mitigate scalability, performance, and technical-debt risks; influence executives, partners, and delivery teams; and provide feedback to product and engineering organizations. The role serves as a trusted advisor for enterprise platform decisions and may require travel of up to 50% annually.

The Principal Platform Architect defines enterprise platform vision, standards, governance, and architecture strategy for ServiceNow. The role guides platform designs, integrations, data models, and multi-workflow architectures; facilitates governance forums; mitigates scalability, performance, and technical-debt risks; influences executives and delivery teams; and provides feedback to product and engineering organizations. Success requires aligning platform adoption with enterprise objectives and establishing consistent, scalable governance across teams and partners.

Manages a network reliability and resiliency team, including career development, project prioritization, performance reviews, crisis management, and onboarding. Leads infrastructure reliability initiatives, automation efforts, process improvements, monitoring solutions, training, and adoption of new technologies. Requires hands-on Linux, database, systems, coding, cloud operations, distributed-team, SaaS infrastructure, and ITIL experience. Government of Canada Reliability Status screening is required.

Build and own distributed runtime infrastructure for Moveworks’ AI agents, including agent orchestration, long-running session management, event-driven messaging, structured concurrency, observability, caching, and state layers. Design reliable, scalable backend systems supporting multi-step workflows, tool calls, human interactions, crash recovery, real-time streaming, and low-latency responses for enterprise users.

Build and own distributed runtime infrastructure for Moveworks AI agents, including orchestration state machines, session leasing and recovery, event-driven messaging, asynchronous concurrency, observability, caching, and state layers. Design production backend systems that handle high-scale real-time traffic while ensuring correctness, low latency, fault tolerance, traceability, and graceful recovery across long-running agent workflows.

Build and own distributed runtime infrastructure for AI agents, including orchestration state machines, session management, event-driven pipelines, structured concurrency, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle long-running workflows, leases, checkpointing, concurrency, streaming, tracing, and production-scale traffic.

Build and own distributed runtime infrastructure for AI agents, including orchestration engines, long-running session management, event-driven pipelines, concurrency systems, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle distributed coordination, crash recovery, streaming, tracing, and production traffic at scale.

Leads engineering teams building AI-native ITOM Discovery products. Owns technical strategy, architecture, delivery, reliability, hiring, coaching, and organizational development. Diagnoses architecture, UX, data, cost, and feedback-loop issues; establishes engineering standards and reusable patterns; and collaborates with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, releases, compliance, and customer value.