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We are the platform engineers handling app lifecycle at ServiceNow. We develop and maintain the server-side JavaScript engine at the heart of the ServiceNow platform — the runtime that powers custom applications, workflows, and business logic. We ensure apps move smoothly and securely from development to production. This role requires deep expertise in compiler and runtime systems you'll optimize execution engines, memory management, and performance at the systems level. Own code from design, implementation, test automation, and delivery across the scripting engine and the broader platform surfaces it touches Work with platform teams and internal stakeholders to understand requirements and drive the full development lifecycle Build software that is simple to use, allowing customers to extend and customize functionality to meet their specific needs Contribute to the design and implementation of new capabilities while maintaining and enhancing existing functionality Mentor colleagues and promote knowledge-sharing across teams Apply advanced knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Architect modular, reusable systems for scalability and extensibility Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the industry) 3+ years of experience with Java or similar OO language (C++, C#, Go equivalent acceptable) Passion for JavaScript as a language — its semantics, execution model, and evolution — as well as the Web as a platform Experience with backend or systems-level programming; exposure to language internals (parsing, compilation, interpretation) is a plus but not required Advanced knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Familiarity with distributed systems concepts — resource isolation, concurrency, and scaling execution across shared infrastructure Demonstrated capability to manage multiple projects with material technical risk across teams and processes Track record serving as functional lead or technical owner Exposure to multiple technology stacks (JVM/backend systems, platform infrastructure, security and sandboxing, service-oriented architecture) is a strong plus For positions in this location, we offer a base pay of $128,900 - $219,100 , 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 globaltalentss@servicenow.com 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.

We are seeking a Senior Staff Engineer (IC5) who will set the technical vision and architecture across AI-native and cloud-native systems. The IC5 engineer is a strategic technical leader who drives innovation, shapes engineering culture, and influences the direction of the platform. They work on the highest-impact, most complex problems—defining approaches for novel AI/ML challenges, establishing best practices at scale, and ensuring the organization's technical strategy aligns with business objectives. This role combines deep technical expertise with broad systems thinking, organizational influence, and the ability to mentor and develop senior engineers. IC5 engineers are trusted advisors to leadership and across the organization. What you get to do in this role: Technical Vision & Strategy • Define technical vision and strategy for AI-native and cloud-native systems; establish multi-year technology roadmaps and architectural patterns • Lead the development of core platforms and infrastructure that enable AI-native development at scale (evaluation frameworks, monitoring, security, deployment) • Drive adoption of emerging AI/ML technologies, frameworks, and best practices; assess new services and tools for organizational fit • Establish and evolve technical standards, architectural principles, and engineering excellence standards across the organization • Own the technical roadmap for critical business initiatives involving AI; evaluate feasibility and set realistic timelines • Champion investment in foundational improvements (refactoring, testing infrastructure, monitoring, security) that have organization-wide impact • Influence platform-level decisions involving cost, latency, reliability, and model quality; balance business objectives with technical constraints • Stay at the forefront of AI/ML research and industry trends; translate research into practical applications for the business Organizational Leadership & Mentorship • Mentor and develop senior engineers (IC3/IC4) and engineering leaders; support their growth into leadership and architectural roles • Lead technical hiring; assess candidates at senior levels and contribute to building a world-class engineering team • Establish and enforce engineering culture focused on technical excellence, learning, ownership, and collaboration • Lead by example in code quality, testing discipline, security practices, and responsible AI principles • Support manager and team leadership development; provide technical guidance to engineering managers and team leads • Conduct architectural and design reviews; provide critical feedback that shapes the quality of technical decisions across the organization • Foster knowledge sharing through documentation, technical talks, open-source contributions, and community engagement • Create and refine career paths and professional development opportunities for engineering team members Architecture & Systems Design • Design and architect large, complex systems involving multiple teams, cloud infrastructure, and sophisticated AI/ML components • Lead the design of evaluation frameworks, observability systems, and production monitoring for AI-driven features at scale • Establish security architecture and responsible AI guardrails that scale across the platform • Design high-performance data platforms, embedding systems, and retrieval pipelines that serve organization-wide needs • Evaluate and guide adoption of new cloud services, managed AI services, and technologies • Drive architectural decisions that balance competing concerns: performance, cost, scalability, reliability, developer experience, and business value • Conduct research and prototyping on novel technical approaches; lead exploration of emerging AI/ML techniques • Lead root cause analysis and architectural reviews for critical incidents; drive improvements to prevent recurrence Cross-Organizational Influence & Communication • Communicate technical vision and strategy to executives, product leadership, and engineering teams; influence organizational priorities • Partner with product, design, and domain specialists to define ambitious technical roadmaps aligned with business strategy • Represent the engineering organization in high-stakes customer and partnership discussions; build credibility and trust • Lead or contribute to technical due diligence for acquisitions, partnerships, and strategic technology evaluations • Translate complex AI/ML concepts, trade-offs, and limitations for audiences ranging from technical engineers to executive leadership • Advocate for technical health, engineering culture, and long-term sustainability over short-term pressures • Participate in industry forums, conferences, and communities; enhance the organization's external reputation • Lead technical interviews and design discussions; mentor interviewing skills across the engineering organization Software Development Excellence & Innovation • Develop innovative solutions to the organization's most complex technical challenges, particularly around AI/ML integration and distributed systems • Prototype and validate new approaches; share learnings and best practices across the organization • Contribute to critical code paths and architectures; model best practices in code quality, testing, and maintainability • Build evaluation frameworks, monitoring systems, and testing infrastructure that scale across the organization • Implement security best practices, responsible AI guardrails, and compliance mechanisms that serve as templates for the organization • Work with cloud services, managed AI services, Kubernetes, and infrastructure-as-code at an architectural level • Troubleshoot and resolve the most complex production issues; establish practices to prevent future incidents • Contribute to open-source projects, research initiatives, or industry collaboration where aligned with business strategy ServiceNow Platform Strategy & Excellence • Define platform architecture and integration patterns for AI-native ServiceNow applications • Establish best practices and architectural standards for ServiceNow development across the organization • Lead technical decisions on ServiceNow platform capabilities vs. custom development trade-offs • Drive adoption of ServiceNow platform features and managed services; evaluate and recommend platform upgrades • Partner with ServiceNow product teams and technical account managers on advanced integrations and customizations • Mentor senior engineers on ServiceNow platform architecture and advanced development patterns • Ensure applications remain compatible with ServiceNow platform updates and evolution Customer Strategy & Support Leadership • Shape organizational approach to customer support and issue resolution; establish standards for response and resolution • Lead customer-critical incident response and complex troubleshooting; provide technical escalation path • Engage with strategic customers on technical topics, roadmap alignment, and complex integration challenges • Gather and synthesize customer feedback to inform product and platform strategy • Establish programs and practices that improve customer experience and reduce support burden • Work with customer success leadership to align technical capabilities with customer success metrics • Lead technical due diligence and support in customer selection and onboarding processes To Be Successful in this role you have: 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience 4+ years in cloud-native and AI-native systems or equivalent senior-level roles 5+ years of experience with LLM/AI systems at scale, including prompt engineering, agent design, retrieval systems, and production AI/ML services 5+ years of hands-on experience building and scaling systems with third-party AI/ML services and platform APIs across multiple cloud providers 3+ years of experience designing and building applications on platform-as-a-service or SaaS platforms; deep expertise with ServiceNow platform at scale Expert-level proficiency in Python, Java, and JavaScript/GlideScript; deep expertise in ServiceNow scripting, APIs, and platform architecture Demonstrated expertise in distributed systems design, microservices architecture, and large-scale systems Proven track record designing high-performance, mission-critical data pipelines, embedding systems, and vector databases Expert knowledge of LLM orchestration frameworks, RAG architectures, retrieval optimization, and vector database technologies Deep expertise with cloud computing (AWS/GCP/Azure), managed AI services, and infrastructure-as-code Strong background in Kubernetes, containerization, and cloud-native deployment patterns Expertise in building evaluation frameworks, metrics systems, and production monitoring for AI/ML systems Experience with and strong opinions about secure coding practices, responsible AI, and compliance requirements Exceptional communication skills; ability to influence across levels of technical seniority and non-technical audiences; demonstrated customer engagement experience Proven ability to lead large, cross-functional technical initiatives; track record of significant technical accomplishments Strong background in software architecture, system design, and technical strategy; experience shaping platform strategy and roadmap Experience mentoring senior engineers, engineering managers, or technical leaders Experience leading customer-critical initiatives or providing technical leadership on strategic accounts Bachelor's degree in computer science, engineering, or related field; advanced degree or significant AI/ML research/publications is a plus Active engagement with the broader engineering and AI/ML community (conferences, publications, open-source, etc.) Demonstrated thought leadership in AI-native development, cloud architecture, or software engineering For positions in this location, we offer a base pay of $190,900 - $334,100 , 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 globaltalentss@servicenow.com 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.

As a Staff 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 with a 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 globaltalentss@servicenow.com 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.

Come join the dream team. We're rapidly expanding Agentic Playbook, ServiceNow's platform for sequencing work between AI Agents , automations , and people across enterprise applications. It combines the power of AI , the predictability and performance of automated flows , and the judgment of humans-in-the-loop — all within a single governed process running on ServiceNow's enterprise Flow Engine. Agentic Playbooks can be built using a drag-and-drop diagram experience or agentically with tools like Build Agent . Once running, multiple stakeholders can interact with a Playbook through an AI-native UI that updates in real time, or conversationally across channels like Teams and Slack — including through MCP , which lets external AI assistants interact with a running Playbook directly. This dramatically reduces the engineering expertise required to automate a multi-step process, and makes it possible to create compelling, dynamic user experiences that would otherwise take a specialized team to build. This is at the heart of ServiceNow's purpose to make AI work for everyone. There's never been a better time to join the ServiceNow family. What you get to do in this role: As a Sr Staff Software Engineer you will be designing architecture that will unlock the next generation of automated process design and execution, enabling our customers to be efficient in their work. You will use your experience building modern web experiences and your expertise in performance, architecture, and object-oriented design to push the boundaries of our platform. You will also collaborate with cross-functional engineering teams to develop new and improve on existing platform features. Build highly interactive web-based application UIs that can scale with application complexity Create tools, libraries, and frameworks for other developers to build upon Work with a strong set of teams to improve developing and deploying applications and customizations Apply new technology and innovation to improve platform functionality Deliver and outstanding experience for our customers Be a mentor for colleagues and help promote knowledge-sharing To be successful in this role you have: 12+ years of experience building scalable software applications using Java or a similar object-oriented programming language Strong experience with JavaScript or TypeScript and modern frontend engineering practices Experience with React, Angular, Vue, or similar UI frameworks Strong foundation in data structures, algorithms, object-oriented design, and performance optimization Experience building reusable, maintainable systems and components for large-scale applications Proven ability to solve significant technical problems with broad impact across teams or product areas Demonstrated expertise in architecture, technical strategy, and driving complex initiatives from design through delivery Experience mentoring engineers and influencing engineering excellence through reviews, standards, and technical leadership Practical experience using AI-assisted coding tools to improve development workflows and engineering productivity Good judgment in applying emerging agentic development capabilities without compromising quality, security, or maintainability Strong analytical and software design skills 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 globaltalentss@servicenow.com 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.

What you get to do in this role: Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation. Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs. Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy. Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence. Maintain a strong hands-on presence across the development lifecycle, including designing, coding, and reviewing core systems such as Kubernetes operators, controllers, infrastructure automation, and platform services. Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. 14+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production environments. Demonstrated experience building and operating Kubernetes platform infrastructure at scale, with ownership of platform capabilities through deployment, upgrades, and production operations. Hands-on developing Kubernetes Operators, Admission Controllers, or other platform extensions using Kubebuilder, Operator Framework, or similar technologies. Experience operating both managed Kubernetes services (EKS, AKS, GKE) and self-managed Kubernetes environments. Experience supporting cloud-native database platforms, large-scale data infrastructure, or stateful services on Kubernetes. Strong software engineering expertise in Go, with hands-on experience developing Kubernetes Operators, Controllers, Custom Resource Definitions (CRDs), and platform automation capabilities. Deep understanding of Kubernetes architecture, including orchestration, scheduling, security, storage, networking, and workload management. Proven experience operating stateful and distributed workloads on Kubernetes, including databases, data services, or other mission-critical platform components. Extensive experience with public cloud platforms (AWS, Azure, or GCP), including compute, networking, security, and identity management services. Strong background designing and building microservices, event-driven systems, and distributed application architectures. Experience owning complex technical initiatives end-to-end, from architecture and design through implementation, deployment, and operational support. Hands-on experience with containers, CI/CD, GitOps practices, and Infrastructure-as-Code using tools such as Terraform, Crossplane, or equivalent technologies. Experience implementing observability and reliability best practices, including metrics, logging, tracing, monitoring, alerting, and service-level objectives. Proven ability to drive technical strategy through architectural design reviews, technical proposals, and cross-functional collaboration. Good to have: Experience with container networking (CNI) and/or service mesh. Experience with mTLS, workload identity, and secrets management at fleet scale. Experience with observability—metrics, tracing, and SLOs. Experience with Terraform, Crossplane, or similar declarative infrastructure tooling. Experience designing or tuning distributed data or compute workloads on Kubernetes. 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 globaltalentss@servicenow.com 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.

Overview The Data Platform group builds highly scalable, high‑performance platform capabilities for data‑in‑motion and backend storage systems. Our customers operate at massive scale, pushing the boundaries of data volume, throughput, and concurrency. We are looking for a seasoned IC5 Senior Staff Engineer with deep expertise in distributed systems and Data Lake architectures to drive next‑generation platform innovation. Role Summary As an IC5 Senior Staff Engineer, you will architect and deliver large‑scale distributed platform components, lead complex technical initiatives, and define engineering best practices. You will bring strong leadership, hands-on engineering depth, and the ability to design and operate reliable, scalable, and high‑performance data systems. Key Responsibilities Architect, design, and build high‑performance distributed systems and platform components. Build distributed systems data ingestion solutions with strong emphasis on scalability, quality, and operational excellence. Deliver high‑quality, clean, modular, and reusable code while enforcing engineering best practices (code reviews, unit testing, automation, design reviews). Build foundational libraries, frameworks, and tools focused on modularity, extensibility, configurability, and maintainability. Collaborate across engineering teams to refine requirements and deliver end‑to‑end solutions. Provide technical leadership for projects with significant complexity and risk. Research, evaluate, and adopt new technologies that enhance platform capabilities. Troubleshoot and diagnose complex production issues across distributed systems. Required Skills & Experience Experience Level • 15–20 years of hands‑on engineering experience in distributed systems, data platforms, or large‑scale backend infrastructure. Core Engineering Expertise Strong fundamentals in distributed systems architecture, design patterns, and algorithms. Deep programming expertise in Java , including JVM internals, memory models, and garbage collection. Proven experience in JVM performance tuning, profiling, and diagnosing performance bottlenecks. Strong understanding of concurrency, networking, sockets, OS internals, and performance optimization. Hands-on experience building and operating large‑scale distributed systems. Experience with relational databases such as Oracle, MySQL, or PostgreSQL. Distributed Systems Expertise Experience with large‑scale deployments of distributed systems . Deep knowledge of replication, fault-tolerant, and HA strategies. Experience working in DevOps environments to operationalize distributed platforms. Strong expertise in designing and architecting platforms using: Kubernetes ( workload deployments, upgrades, monitoring and maintenance) Apache Iceberg (tables, catalogs, schema evolution, metadata management) is a plus Apache Kafka (high‑scale clusters, topic/partition strategies, HA) is a plus Apache Flink (stateful stream processing, exactly‑once semantics) is a plus Apache Spark (batch & streaming jobs, optimization, partitioning) is a plus Expertise in data formats such as Parquet, ORC, and Avro, along with compaction and governance strategies. Ability to build scalable, fault‑tolerant ingestion and transformation workflows. Experience integrating Data Lakes with analytics engines, query services, or ML platforms. 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 globaltalentss@servicenow.com 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.

We are the Unified Employee Experience (UEX) team at ServiceNow, also known as EmployeeWorks. We build Employee Slate, our conversation first employee experience, along with Employee Center and Employee Center Pro. Employees at some of the largest enterprises in the world use what we build to find answers and get work done, on web and on mobile. The experience is AI first, so the front end platform has to be fast, consistent, and extensible enough that every team building on it moves quickly. This is a front end architecture role. You will own the architecture of the front end platform and the framework that feature teams across the organization build on, and you will own the performance of the experience end to end. We are looking for someone who has built and owned a front end platform at scale, not just features on top of one. What you get to do in this role: Own the architecture, technical direction, and roadmap of our front end platform and the framework it exposes to other engineering teams Architect modular, reusable component systems built for extensibility, versioning, and adoption across many teams at once Own front end performance end to end and hold the platform to it as the product and the customer base grow Drive complex, multi team technical initiatives and resolve architectural conflicts without management escalation Lead architecture and code reviews, mentor senior engineers, and raise the front end bar across the organization Act as the technical escalation point for the hardest production problems in the front end Bring judgment on where AI belongs in the engineering workflow, and set the guardrails for AI assisted development Partner with product and design early enough to shape what gets built, not just how it gets built Experience in leveraging or critically 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. 10+ years of professional software engineering experience, with the majority of it building web front ends and front end platforms Deep expertise in JavaScript and TypeScript, along with advanced knowledge of data structures, algorithms, object oriented design, and design patterns Advanced experience with modern component based UI frameworks and web components, such as Lit, React, Angular, or Vue Proven track record designing framework level abstractions that many other engineering teams build on Deep front end performance experience, including profiling, diagnosing, and fixing performance problems in production at scale Demonstrated experience as a Staff or Principal engineer or equivalent senior individual contributor accountable for architecture and technical direction, with a track record leading months long initiatives across team boundaries Working proficiency in a server side language such as Java, Node.js, Python, or Go Exposure to building front ends on top of AI or LLM driven capabilities Excellent communication skills, including the ability to explain complex architecture clearly to engineers, product managers, and senior leadership B.S. or M.S. in Computer Science, Engineering, or an equivalent technical field, or equivalent practical experience Preferred Experience with design systems or component libraries adopted across multiple organizations Experience with front end observability and real user performance monitoring Familiarity with large scale, multi tenant SaaS platforms 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 globaltalentss@servicenow.com 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.

The Team The Platform Engineering organization builds the foundational services, frameworks, and developer capabilities that power the ServiceNow platform. Our teams create the infrastructure and platform technologies that enable engineers across ServiceNow to innovate faster while maintaining enterprise-grade scalability, reliability, security, and operational excellence. We are at the center of ServiceNow's AI Platform transformation, delivering the runtime services, platform capabilities, and engineering infrastructure required to support the next generation of AI-powered experiences. Key Areas of Focus Platform Services & Frameworks – Building core platform capabilities that support large-scale application development across the Now Platform. Developer Productivity & Engineering Excellence – Creating tools, frameworks, and platform capabilities that improve developer velocity, software quality, and operational efficiency. Scalability & Performance – Designing highly available, resilient systems capable of supporting enterprise-scale workloads. Cloud-Native Architecture – Advancing modern platform architecture through automation, observability, distributed systems, and reliability engineering. AI Platform Enablement – Supporting intelligent automation, AI-powered workflows, telemetry-driven insights, and next-generation AI experiences across the platform. Operational Excellence – Driving platform reliability, security, performance, compliance, and service health through engineering best practices. Engineers in this organization solve complex technical challenges that impact every ServiceNow product and customer, helping shape the future architecture of the Now Platform. What You Get To Do In This Role Lead multiple engineering teams responsible for strategic platform capabilities and services. Partner closely with Product Management, Architecture, Infrastructure, AI Platform teams, and other engineering organizations to define and execute technical roadmaps. Drive delivery of scalable, secure, and highly available platform solutions. Build and grow high-performing engineering teams through coaching, mentorship, talent development, and succession planning. Establish technical direction and engineering best practices across multiple teams. Drive operational excellence through observability, automation, reliability, and performance optimization. Lead large cross-functional initiatives involving platform modernization, scalability improvements, and AI-powered capabilities. Balance technical strategy, business priorities, and execution to achieve organizational goals. Foster a culture of innovation, ownership, inclusion, and continuous learning. Help advance ServiceNow's AI-first strategy by integrating intelligent automation and AI-powered engineering capabilities into platform development. To be successful in this role you have: Experience leveraging AI tools, AI-driven insights, intelligent automation, or AI-assisted software development practices. 10+ years of software engineering experience, including experience building large-scale enterprise or cloud-native platforms. 3+ years of experience leading engineering managers, technical leads, or multiple software engineering teams. Strong experience in Java and large-scale distributed systems. Experience building platform services, frameworks, infrastructure components, or developer-facing technologies. Deep understanding of software architecture, scalability, performance, reliability, and security. Experience working in cloud environments and modern DevOps/SRE operating models. Strong track record of delivering complex technical initiatives across organizational boundaries. Exceptional communication, collaboration, and stakeholder management skills. Experience leading teams in Agile development environments. Preferred Qualifications Experience with platform engineering, developer platforms, runtime services, or infrastructure engineering. Experience with distributed systems, event-driven architectures, and cloud-scale applications. Experience supporting AI/ML platforms, telemetry systems, or intelligent automation capabilities. Experience driving engineering transformation and organizational scale. Passion for building high-performing teams and developing future engineering leaders. For positions in this location, we offer a base pay of $190,900 - $334,100 , 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 globaltalentss@servicenow.com 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.