Staff Software Engineer

About this role

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Skills you'll use

What you'll do

• Production track record.  A demonstrated record of building, shipping, and operating production software, including hands-on delivery of AI-native application features that real users depend on rather than demos or prototypes. Depth and demonstrated judgment matter more than tenure; typically around 8+ years of relevant software engineering experience.
• Agentic delivery experience.  Direct experience authoring agentic instructions and prompts, designing AI-driven autonomous workflows, and building the evaluation and testing that verifies them. This is required, not preferred.
• Production AI integration.  Experience integrating large language model APIs and retrieval-grounded features, including agent orchestration, tool and function calling, and structured output enforcement.
• Domain ownership.  Demonstrated ownership of a complex domain or subsystem end-to-end, including the architectural decisions, migrations, and operational consequences.
• Engineering fundamentals.  Strong command of data structures, algorithms, system design, APIs, data modeling, and testing. Proficiency in front-end development with a modern component framework, server-side development, relational data modeling, and REST and GraphQL API design.
• Applied machine learning literacy.  A working command of the concepts that govern how these systems behave—evaluation, embeddings, and the probabilistic output and failure modes of modern models—sufficient to reason about, debug, and verify model-driven behavior in production.
• Accountable use of AI coding agents . Current, effective use of AI coding assistants and agents with evidence of accountable delivery: precise specification, critical review of generated output, and verification harnesses.
• Operational experience.  Hands-on CI/CD, containerized workloads, and observability experience, plus direct on-call and incident-command experience with customer-facing systems.

Who can apply

• Mentorship.  Demonstrated mentorship of less-experienced engineers and a record of raising quality through code review.
• Education . Bachelor's degree in computer science, software engineering, or a related technical field, or equivalent practical experience. Advanced degrees are a plus but not a substitute for a record of shipping reliable AI-native applications.
• Order and quoting domain depth.  Quote-to-cash, configure-price-quote, product catalog modeling, or order management, at a depth sufficient to challenge a requirement rather than only implement it.
• Evaluation and observability tooling.  Evaluation frameworks, prompt and instruction management tooling, tracing for model-driven applications, and analysis of production transcripts at scale.
• Conversation design partnership.  Working alongside conversation or content designers on dialogue flow, tone, and error-recovery design.
• Forward deployed delivery.  Building against a customer's data, integrations, and channels, and tuning instructions and evaluation sets in their environment.
• Platform and standards depth.  Industry order-management interoperability models, or Now Platform development experience: scoped applications, Flow Designer, UI Builder, Automated Test Framework, and upgrade-safe extension patterns.

About ServiceNow

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