
Staff Software Engineer
ServiceNow · Posted Oct 12
Cloud-based workflow automation and artificial intelligence platform services
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About the role
ServiceNow is a cloud-based platform company whose engineering teams build AI-native and cloud-native systems. This Staff Engineer role works at the intersection of UI, backend, and AI-driven engineering, architecting solutions that improve developer experience and expand platform capabilities. The role involves leading design and delivery of complex systems, building evaluation infrastructure and AI guardrails, and mentoring senior engineers across teams.
What you will do
- Design and implement AI-Native product development, using cutting-edge technical approaches to deliver business value
- Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.)
- Drive complex, multi team technical initiatives and resolve architectural conflicts without management escalation
- Own your code from design through implementation, test automation, and delivery
- Collaborate with product managers to define feature sets that solve real customer problems
- Lead architecture and code reviews, mentor senior engineers, and raise the front end bar across the organization
- Build the evaluation infrastructure: golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection.
- Bring judgment on where AI belongs in the engineering workflow, and set the guardrails for AI assisted development
- Make informed architectural and technical trade-off decisions between latency, cost, scalability, reliability, and model quality
- Stay current with emerging AI/ML frameworks, services, and techniques; evaluate and recommend adoption where applicable
- Contribute to code and architecture standards; ensure adherence to established best practices
Skills used in this role
What the employer is looking for
- Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 8+ years of experience in software engineering, with a track record of delivering high-quality products.
- 3+ years of hands-on work with LLM prompting, agent design, and retrieval systems (RAG, semantic search,
- Experience integrating LLM APIs (Anthropic, OpenAI, Bedrock, Vertex, or similar), including tool/function calling, structured-output enforcement, and guardrails.
- Experience building and debugging evaluation harnesses and metrics for AI features, such as accuracy, reg detection.
- Working knowledge of embeddings, vector stores, and the failure modes of probabilistic systems, enough to debug and verify behavior in production.
- Strong JavaScript/Node.js and Python, Java, with solid data modeling and query optimization
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
- Front-end experience with modern frameworks (React, Lit, Angular, or Vue) for conversation-first experiences.
- Automated testing (unit and integration), CI/CD, containers, and observability, plus on-call or incident experience with customer-facing systems.
- Current, effective use of AI coding agents, with evidence of accountable delivery: precise specs, critica harnesses.
- Demonstrated mentorship and a record of raising quality through code review.
- Clear communication with both engineers and non-technical stakeholders.
- Experience with LLM orchestration frameworks and vector databases (LangChain, LlamaIndex, pgvector, or similar).
- Familiarity with automated testing frameworks (e.g., JUnit, Playwright, TestNG) and integrating tests into CI/CD pipelines
- Understanding software quality principles including reliability, observability, and production readiness.
- Ability to troubleshoot complex systems and optimize performance across the stack.
- Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
- Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
Benefits and support
- Compensation and benefits are detailed in the job posting
About ServiceNow
ServiceNow provides an end-to-end cloud-based platform and workflow automation solutions that help enterprises digitize and unify operations. Its platform leverages artificial intelligence and machine learning to streamline IT service management, customer service, and business processes.
- Industry
- Software Development
- Company size
- 10001+ employees
- Founded
- 2004
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $4.08B raised
- 2026-04-17Post IPO Debt$4.00B
Leadership
Chairman and Chief Executive Officer
President and Chief Financial Officer
President, Chief Product Officer and Chief Operating Officer
Chief Technology Officer and EVP, DevOps
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