Staff Software Engineer - Federal

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Position Location: This is a Flexible (Hybrid) position based in Santa Clara, CA. Flexible positions require 2 days per week in our Santa Clara office location. Please Note: This position will includesupporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. As a Staff Software Engineer, you will independently lead the design, development, and delivery of complex, high-impact AI-native and cloud-native systems. The IC4 engineer takes ownership of critical components or features, sets technical direction within their domain, and serves as a technical resource to peers and junior engineers. They combine deep software engineering fundamentals with hands-on expertise in AI/ML integration, cloud architecture, and production systems. This role requires the ability to balance technical depth with organizational impact, working across teams to solve ambiguous problems and drive platform improvements. What you get to do in this role: Responsibility Area: Technical Leadership & Architecture Lead the design and architecture of complex, production-critical AI-native systems, including LLM integrations, agentic workflows, retrieval pipelines, and inference services Own end-to-end delivery of medium-to-large features or systems, including specification, design, implementation, testing, deployment, and production monitoring Make informed architectural and technical trade-off decisions between latency, cost, scalability, reliability, and model quality Establish evaluation frameworks, testing strategies, and production monitoring for AI-driven features; drive adoption of eval-driven development practices Design and optimize high-performance data pipelines, embedding systems, and vector stores handling millions of rows and complex retrieval scenarios Champion security best practices, including prompt-injection defense, data privacy, PII handling, responsible AI guardrails, and compliance with regulatory requirements Participate in architectural reviews across teams and contribute to platform-level technical decisions Stay current with emerging AI/ML frameworks, services, and techniques; evaluate and recommend adoption where applicable Responsibility Area: Mentorship & Technical Influence Mentor junior and mid-level engineers (IC2/IC3) through pair programming, design reviews, architecture discussions, and hands-on coaching Conduct thorough code reviews, including evaluation of prompts, agent logic, retrieval strategies, and AI/model behavior validation Identify technical debt and improvement opportunities; advocate for and lead initiatives to address them Share knowledge through documentation, brown‑bag sessions, and architectural guidance Contribute to hiring and interview processes; provide technical assessment and feedback on engineering candidates Model best practices in software craftsmanship, testing discipline, and debugging methodology Support onboarding of new team members and ensure knowledge transfer across projects Responsibility Area: Cross-Functional Collaboration & Communication Work closely with product management, domain specialists, and other engineering teams to define requirements and technical specifications Translate complex technical concepts and AI trade‑offs for non‑technical stakeholders (product, leadership, customers) Lead root cause analysis for customer‑reported issues, including those involving model behavior, hallucinations, retrieval quality, and distributed system complexity Participate in design reviews, technical planning sessions, and retrospectives; contribute perspectives on technical feasibility and risk Communicate clearly about design decisions, implementation challenges, AI limitations, and production incidents Build and maintain relationships with adjacent teams and external partners where applicable Proactively identify opportunities to improve development processes, tooling, and team efficiency Responsibility Area: Software Development Excellence Develop robust, maintainable, and well‑tested AI-native software using Python, Java, and JavaScript as appropriate Build comprehensive unit tests, integration tests, and AI evaluation harnesses (accuracy, regression, hallucination detection) Troubleshoot complex issues in distributed systems, probabilistic models, and cloud infrastructure; isolate root causes efficiently Implement secure coding practices and responsible AI guardrails throughout the development lifecycle Manage deployment, monitoring, and iteration of features in production; respond to performance issues and model drift Work with cloud services (AWS/GCP/Azure), managed AI services (Bedrock, Vertex AI, Azure OpenAI), Kubernetes, and CI/CD pipelines Contribute to code and architecture standards; ensure adherence to established best practices Responsibility Area: ServiceNow Platform Development Design and develop custom applications, extensions, and integrations on the ServiceNow platform Develop workflows, business rules, and automation using ServiceNow scripting (JavaScript, GlideScript, REST APIs) Build data models, forms, and dashboards for ServiceNow applications; optimize database queries for performance Integrate third‑party AI/ML services and custom APIs with ServiceNow platform services Contribute to and maintain ServiceNow plugin and app architecture; follow ServiceNow best practices and coding standards Participate in ServiceNow upgrades and configuration management; ensure compatibility with platform updates Mentor junior engineers on ServiceNow platform capabilities and development patterns Responsibility Area: Customer Support & Product Excellence Participate in customer issue triage and root cause analysis for production ServiceNow application issues Work closely with customer success and support teams to understand and resolve complex technical issues Provide technical guidance to customers on application usage, configuration, and troubleshooting Identify patterns in customer issues and drive improvements to prevent recurrence Contribute to customer documentation and internal knowledge bases Support customer escalations; provide timely resolutions to critical issues affecting customer operations Gather customer feedback and communicate product improvement opportunities back to product management To be successful in this role you have: 8+ years of software development experience with a Bachelor's degree; OR 6+ years witha Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Practical software development experience, with 5+ years working with modern cloud-native and AI-native systems 3+ years of hands‑on experience with LLM prompt engineering, agent design, and retrieval systems (RAG, semantic search, knowledge bases) 3+ years of demonstrated experience integrating third‑party AI/ML services and platform APIs (OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, etc.) 2+ years of hands‑on experience developing applications and extensions on the ServiceNow platform Strong proficiency in JavaScript/GlideScript, Python, and Java; familiarity with ServiceNow scripting patterns and APIs Solid understanding of ServiceNow data model, form/workflow design, and business process automation Solid understanding of microservices architecture, REST/streaming APIs, and modern backend frameworks (Spring Boot, FastAPI, etc.) Experience designing and optimizing high‑performance data pipelines, embedding systems, and vector stores at scale Demonstrated expertise in LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel) and vector databases (Pinecone, Weaviate, pgvector, etc.) Experience with cloud computing platforms and managed AI services (AWS, GCP, Azure); hands‑on experience with infrastructure‑as‑code Proficiency with Kubernetes, containerization, CI/CD pipelines, and automated testing frameworks Experience developing and debugging evaluation harnesses, benchmarks, and metrics for AI/ML features Proven ability to troubleshoot and isolate root causes in complex, distributed, and probabilistic systems Strong communication skills; ability to explain technical concepts to both technical and non‑technical audiences; customer‑facing experience a plus Experience with Agile and Scrum development methodologies; comfort with iterative development and continuous improvement Demonstrated ability to engage with customers, understand their needs, and support issue resolution Track record of taking ownership of significant technical initiatives and delivering them successfully Demonstrated mentorship of junior engineers or technical leadership in previous roles For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third‑party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact View email address on click.appcast.io for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. #J-18808-Ljbffr ServiceNow