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Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA and San Diego, CA Position Overview: ServiceNow is seeking a highly motivated and experienced Staff Software Engineer in Platform Persistence to solve complex problems in management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform. The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform’s data architecture and ensuring that data is stored, retrieved, and managed efficiently. In addition to traditional data management, this team will have a unique focus on telemetry and data visualization, making a substantial impact on how customer and platform data is utilized and presented. What you get to do in this role: Writing highly scalable code leveraging best practices on concurrency and memory utilization. Contribute to data management strategies, ensuring scalability, efficiency, and security. Collaborate with cross-functional teams to implement data-related initiatives. Explore and experiment with challenging data problems including but not limited to data loss detection & recovery. Champion data best practices and security standards across the organization. Monitor and optimize data performance, troubleshooting and implementing improvements as needed. Stay current with the latest data storage and management technologies, including distributed storage systems (S3, Apache Iceberg) and Kubernetes-based deployments. Use AI tools to help solve challenging data and distributed systems problems at scale, applying sound judgment on guardrails and process for AI-led software development. Fosters a culture of innovation and continuous improvement. To Be Successful in this role you have: 8+ years of software development experience with a Bachelor's degree; OR 5+ years with Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Proficiency in Java programming and strong expertise in data structures and algorithms. Proficiency with concurrency and parallel programming concepts. Working knowledge of databases, data modeling, and data storage technologies. Strong relational database experience to handle large amount of data on relational systems. Deep knowledge of Kubernetes and hands-on experience with Kubernetes service deployment is a strong plus. Working knowledge of distributed storage systems such as S3 and Apache Iceberg. Strong understanding of cloud-based and distributed systems. Familiarity with ServiceNow platform is a plus. Excellent problem-solving and communication skills. Working knowledge of JavaScript is beneficial for cross-functional collaboration. Experience with AI-assisted development tools and awareness of related guardrails/process is a plus. For positions in this location, we offer a base pay of $158,500 - $277,400 , 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA and San Diego, CA Position Overview: ServiceNow is seeking a highly motivated and experienced Staff Software Engineer in Platform Persistence to solve complex problems in management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform. The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform’s data architecture and ensuring that data is stored, retrieved, and managed efficiently. In addition to traditional data management, this team will have a unique focus on telemetry and data visualization, making a substantial impact on how customer and platform data is utilized and presented. What you get to do in this role: Writing highly scalable code leveraging best practices on concurrency and memory utilization. Contribute to data management strategies, ensuring scalability, efficiency, and security. Collaborate with cross-functional teams to implement data-related initiatives. Explore and experiment with challenging data problems including but not limited to data loss detection & recovery. Champion data best practices and security standards across the organization. Monitor and optimize data performance, troubleshooting and implementing improvements as needed. Stay current with the latest data storage and management technologies, including distributed storage systems (S3, Apache Iceberg) and Kubernetes-based deployments. Use AI tools to help solve challenging data and distributed systems problems at scale, applying sound judgment on guardrails and process for AI-led software development. Fosters a culture of innovation and continuous improvement. To Be Successful in this role you have: 8+ years of software development experience with a Bachelor's degree; OR 5+ years with Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Proficiency in Java programming and strong expertise in data structures and algorithms. Proficiency with concurrency and parallel programming concepts. Working knowledge of databases, data modeling, and data storage technologies. Strong relational database experience to handle large amount of data on relational systems. Deep knowledge of Kubernetes and hands-on experience with Kubernetes service deployment is a strong plus. Working knowledge of distributed storage systems such as S3 and Apache Iceberg. Strong understanding of cloud-based and distributed systems. Familiarity with ServiceNow platform is a plus. Excellent problem-solving and communication skills. Working knowledge of JavaScript is beneficial for cross-functional collaboration. Experience with AI-assisted development tools and awareness of related guardrails/process is a plus. 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.

Team: The Platform Access Controls team is within the Platform Security Core Organization and owns ServiceNow's core authorization frameworks, including ACLs, Security Policies, Security Attributes, and Security Filters. We are responsible for validating identity and access for every transaction across the platform, helping ensure a secure-by-default experience. Our team consists of passionate, self-directed engineers who enjoy solving complex security challenges and building scalable security controls. We foster a highly collaborative culture across distributed teams, empowering individuals with the support, autonomy, and opportunities needed to grow and succeed. As a Senior Staff Software Engineer, you’ll be a key technical leader in the Platform Access Controls group. You’ll set the architectural direction for the access control layer as it expands into securing AI Agent access across the product stack and raise the bar for engineering craftmanship across the organization. What you get to do in this role: Set the technical vision and architecture strategy for the authorization platform, balancing long-term scalability and delivery objectives while maintaining a secure-by-default posture. Work on core Authorization frameworks that touch every part of the product, keeping it high-quality, reliable, secure and fast. Own features from design through delivery, turning business requirements into well-architected, cross-team solutions. Lead design and code reviews, championing access control best practices, performance, maintainability, and testability across multiple teams Implement software that is simple to use to allow customers, applications to extend and customize the functionality to meet their specific needs. Define comprehensive test strategies covering functional, regression, integration and performance testing Diagnose, resolve, root cause and mitigation plans for the hardest production issues across the security stack Mentor engineers at every level and raise the technical bar across the organization. To be successful in this role you have: Having aptitude for learning new technologies quickly Domain experience in authorization technologies such as RBAC, ABAC, policy engines or adjacencies applicable to this space Demonstrated success completing complex, cross-team projects, on time and with quality Experience with troubleshooting difficult production issues e.g., memory leaks, concurrency issues, caching issues, network problems, intermittent failures etc. across the stack Track record of technical leadership — influencing architecture and engineering decisions across multiple teams without relying on direct authority Strong written and verbal communication skills, including experience authoring design docs/RFCs and presenting technical strategy to senior engineering leadership Qualifications 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. Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization at scale. Expert level understanding of best practices for object-oriented and modularized software, with emphasis on Java and Golang. Experience with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines. Deep understanding of software quality principles including reliability, observability, and production readiness Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. Nice to have: Prior experience with ServiceNow Platform Prior experience in building Authorization frameworks Experience with Kubernetes based services and deploying them in regulated environments with compliance and governance requirements. FD21 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting 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. About the team: We are seeking a Senior Staff Software Engineer (IC5 Level) to join our Data Platform Engineering organization. You will be a hands-on technical lead who will lead t he design and delivery of shared, multi-tenant platform services — Postgres, queueing/streaming, and key-value stores — on Kubernetes, and serves as the technical anchor for their availability, resilience, and operating model. What you get to do in this role: You will lead the design and delivery of shared platform services — managed Postgres, queueing/streaming, and key-value/cache — that run on Kubernetes across a large global fleet and that product teams across the company depend on, owning them from design through production operation. You will act as the technical lead on major initiatives within your team, breaking down ambiguous problems — “offer HA Postgres as a service to every cluster,” “make our queueing tier survive a zone loss” — into clear, executable designs with explicit availability, durability, and cost targets. You will define the HA, failover, disaster-recovery, and multi-region architecture for the services you own, and the Kubernetes-native automation (operators, controllers, CRDs, self-service APIs) that provisions, scales, upgrades, and fails them over without human intervention. You will partner with principal and distinguished engineers to align your work with the broader platform architecture and standards, and with product teams to set consumption contracts, tenancy models, and SLOs for shared services. You will identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, and operability — leading failure-mode analysis, game days, and post-incident reviews for stateful systems. You will spend significant time hands-on — designing, coding, and reviewing the core systems your team builds, such as operators, controllers, infrastructure automation, and platform services. You will mentor mid-level and junior engineers and raise the engineering bar through code reviews, design feedback, and pairing — particularly around distributed-systems and data-service design. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering and platform work — whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. 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. 8+ years building production software, with solid experience operating distributed systems and running stateful workloads on Kubernetes at scale. A track record of leading the design and delivery of at least one shared, multi-tenant infrastructure service used broadly by other teams — a relational database service (Postgres or similar), a message queue or streaming platform (Kafka, NATS, RabbitMQ, or similar), or a key-value/cache service (Redis/Valkey, etcd, or similar) — including its HA, failover, and operating model. Deep understanding of high availability and failure handling: replication topologies, leader election, quorum and consensus, split-brain avoidance, backup/restore and point-in-time recovery, and designing to explicit RPO/RTO and durability targets. Strong system design skills — you can reason rigorously about consistency models, partitioning and rebalancing, capacity planning, tenant isolation, and noisy-neighbor mitigation, and communicate the trade-offs clearly to engineers and stakeholders. Hands-on experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, storage, and IAM primitives. Strong working knowledge of containers and Kubernetes (including stateful primitives: StatefulSets, CSI/persistent storage, PDBs, topology spread), CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or strong systems-language skills with a willingness to work primarily in Go). It also helps if you have: Experience building or extending Kubernetes operators that manage stateful systems (e.g., CloudNativePG, Zalando/Crunchy Postgres operators, Strimzi, Redis/Valkey operators), and opinions on when to adopt versus build. Deep expertise in one of the target systems: Postgres internals (WAL, streaming/logical replication, vacuum, connection pooling with PgBouncer/PgCat, major-version upgrades); Kafka/NATS (partitioning, ISR/replication, exactly-once semantics, consumer scaling); or Redis/Valkey (cluster mode, persistence, eviction, hot-key handling). Experience running data services across multiple regions or clusters — cross-region replication, failover orchestration, and DR testing. Experience with zero-downtime upgrades, schema/data migrations, and fleet-wide rollouts of stateful services. Experience with observability and SLOs for stateful systems — replication lag, saturation, tail latency, error budgets — and with capacity and cost management for shared infrastructure. Experience designing multi-tenancy: quotas, isolation, chargeback/showback, and self-service provisioning APIs or CRDs. Experience with container networking (CNI) and/or service mesh, and with workload identity, mTLS, and secrets management as applied to data services. Experience with managed Kubernetes (EKS/AKS/GKE), managed data services (RDS/Aurora, Cloud SQL, MSK, ElastiCache), and infrastructure-as-code tools such as Terraform or Crossplane. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.

What you get to do in this role: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Contribute to the design and implementation of new products and features while also enhancing the existing product suite. Be a mentor for colleagues and help promote knowledge-sharing. To be successful in this role you have: 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. Experience In using AI Productivity tools such as Claude Code, Codex, Devin. 6+ years of experience with Java, Kotlin, or a similar OO language. 2+ years of experience working with the Android Framework and common libraries like Dagger, Glide, RXJava, Coroutines. Passion for JavaScript and the Web as a platform, reusability, and componentization. Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations. Experience with any of the modern UI frameworks like Angular, React or Vue. Analytical and design skills. Ability to manage projects with material technical risk at a team level. 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.

As a Software Engineer, you will design, implement, and operate multi-agent workflows that bring automation and intelligence to accelerate asset management. What you get to do in this role: Design and build intelligent agent workflows that coordinate specialized AI agents through controlled orchestration frameworks. Engineer end-to-end multi-agent pipelines — from data retrieval and reasoning to evaluation and decision-making. Integrate frontier AI models (OpenAI, Gemini, Claude), or fine-tuned internal models for reasoning, enrichment, and contextual decision-making — select and switch models based on complexity, cost, and accuracy trade-offs. Design, develop and maintain existing features, and enhance platform capabilities based on user feedback.Develop robust back-end services and APIs (Python or ServiceNow). Collaborate closely with SAM/HAM domain experts,product managers, and engineers to translate automation goals into resilient agentic systems. Build intuitive UIs and dashboards in Service Portal, React, or Angular Leverage retrieval-augmented generation (RAG) strategies to ground AI reasoning in factual context from data sources — ensuring decisions are traceable and verifiable. Apply observability, logging, and traceability across all agent workflows to ensure reproducibility, reliability, and continuous improvement. Participate in code reviews, post-deployment analysis, and production debugging to maintain system quality and stability at scale. To be successful in this role you have: 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. 6-8 years of software development experience with strong command on a any object oriented language Java/Python. Hands-on experience developing LLM-powered or agent-based systems using frameworks for production use cases. Deep understanding of REST APIs, event-driven systems, asynchronous workflows, and scalable back-end design. Experience implementing frontier AI models in enterprise workflow applications. Strong problem solving & foundation in data structures, algorithms, object-oriented design, and design patterns, with attention to performance and scalability. Experience deploying AI or automation systems in production, emphasizing versioning, traceability, and performance monitoring. Familiarity with retrieval-augmented generation (RAG), vector stores, and prompt optimization. Working knowledge of the ServiceNow platform or willingness to learn it. Strong focus on code quality, observability, logging, and traceability — these are non-negotiable. Demonstrated ability to leverage or critically evaluate AI integration in work processes, decision-making, or problem-solving — including using AI-powered coding tools, automating workflows, analyzing AI-driven insights, and exploring AI's impact on business functions. 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.

This role is for an engineer who is beginning their software engineering career and learning to build reliable, maintainable AI-native and cloud-native software. The IC2 engineer works on well-defined features and components with close guidance from senior engineers and tech leads. They focus on developing solid software engineering fundamentals, gaining hands-on experience with modern development practices, and learning to integrate AI/ML services into applications. This role provides mentorship and opportunities to grow technical depth in Python, Java, JavaScript, and ServiceNow platform development while contributing meaningfully to the product. Responsibility Area: Software Development • Develop software features and components under the direction of senior engineers; take ownership of well-defined, scoped tasks • Write clean, maintainable code with comprehensive unit tests; follow established coding standards and best practices • Contribute to the implementation of AI-native features, including prompt design assistance, API integration, and basic evaluation • Work with assigned features from design through development, testing, and deployment with guidance from teammates • Troubleshoot and debug issues in development and staging environments; escalate complex issues to senior engineers • Follow secure coding practices, including responsible handling of customer data and AI safety considerations • Participate in code reviews and actively incorporate feedback from senior engineers • Learn and apply CI/CD practices; contribute to automated testing and deployment pipelines Responsibility Area: ServiceNow Platform Development • Develop features and customizations on the ServiceNow platform with minimal supervision • Write ServiceNow workflows, business rules, and automation using JavaScript and GlideScript with guidance • Build forms and dashboards on ServiceNow; learn data model design and query optimization techniques • Contribute to development of ServiceNow AI agents & skills • Learn ServiceNow APIs, web services, and integration patterns through hands-on implementation • Participate in ServiceNow application maintenance and support for assigned features • Seek to understand ServiceNow platform capabilities and how they apply to business problems Responsibility Area: Learning & Collaboration • Learn from code reviews, pair programming, and mentorship from senior engineers • Ask clarifying questions and seek guidance when encountering unfamiliar technical challenges • Actively participate in team discussions, design reviews, and sprint planning • Communicate clearly about progress, blockers, and technical challenges • Participate in knowledge-sharing sessions and team learning opportunities • Support junior teammates and newer developers by sharing what you've learned • Take initiative to understand the broader system and how your work fits into the product Responsibility Area: Customer Support & Quality • Participate in issue triage and bug fixing under supervision • Assist senior engineers in troubleshooting reported issues and understanding root causes • Contribute to documentation and internal knowledge bases • Learn from issues and help identify patterns that could prevent future problems • Communicate respectfully and professionally with customers and internal teams Qualifications Bachelor's degree in computer science, engineering, or related field (or equivalent practical experience) 4+ years of professional software development experience Proficiency in at least one programming language (Python, Java, or JavaScript); willingness to learn others Understanding of fundamental software engineering concepts: version control, testing, debugging Basic knowledge of relational databases and SQL Familiarity with RESTful APIs and modern web services Strong problem-solving skills and ability to learn quickly from feedback Good communication skills and ability to work collaboratively with a team Understanding of AI/ML concepts; hands-on experience with LLMs or AI APIs a plus Prior experience of ServiceNow is a must. Certification is highly desirable Experience with Agile development methodologies is a plus Ability to take direction, ask for help when needed, and work independently on assigned tasks Passion for software quality, testing, and continuous learning 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.

Role summary The Senior Staff Software Engineer (IC5) on HR Service Delivery sets and owns the technical direction for model-driven capability across the HR domain and the surfaces adjacent domains build on top of it. The work is agentic and conversational experiences that interpret an employee's, manager's, or HR agent's intent, reason over profile, case, catalog, policy, and knowledge context, invoke tools, and act on the user's behalf — but the unit of ownership is the architecture, the standards, and the evaluation infrastructure that let multiple teams ship those experiences safely, not a set of features. This is not a machine learning or AI research role; the engineer does not train foundation models. It is also distinct from traditional staff-level full-stack engineering, where systems follow deterministic logic rather than selecting execution paths at runtime. Two consequences shape the work. First, the most important logic often lives in natural language — instructions, prompts, tool descriptions, guardrails, escalation rules — which must be engineered, versioned, and reviewed with the same discipline as code, and which needs an architecture once more than one team is authoring it. Second, because behavior is probabilistic, correctness is established by measuring behavior at scale rather than by asserting fixed outputs, which makes evaluation a platform investment rather than a per-feature activity. HR sharpens both points along two independent axes. Accuracy. An agent answering on payroll, benefits, leave, or a lifecycle event touches statutory entitlement, jurisdiction-specific policy, and an employee's pay. A confidently wrong output is not a bad answer; it is a missed enrollment window or an incorrect leave balance acted on in good faith. Audience. HR data is among the most sensitive on the platform, and correctness of content is not sufficient. An answer grounded in a record or knowledge article the requestor is not entitled to read is a data exposure even when every fact in it is true, and manager-scope and employee-scope views of the same question have different correct answers. Enforcement belongs in the retrieval and tool layer, not in a request to the model, and at this level you own that being true by construction across every team building in the domain. The distinguishing expectation at IC5 is that the hardest problems arrive unframed. You decide what the domain should do about them, commit the organization to an approach, and are accountable for that approach across releases — including for the decisions that turn out wrong. What you do Set the AI architecture for the domain Own the architecture of model-driven capability across the employee lifecycle: how agents are decomposed and composed, where reasoning happens, how context is assembled and bounded, how tools are exposed and described, and how autonomy is delegated and revoked. Establish the reference patterns other teams build against, and the boundaries between what is a shared platform concern and what each product area owns. Make the calls with multi-release consequences — model selection and migration, orchestration approach, build-versus-adopt, and the cost, latency, and quality tradeoffs behind each — and own the outcome. Define where autonomy goes, and where it does not Decide, as a matter of domain policy rather than per-feature design, which HR actions an agent may take, which require a human decision point, and which no agent should attempt. Anything that changes pay, employment status, or a restricted record, and anything touching employee relations or investigation, needs a human in the path by construction. Then build the mechanisms that make those constraints structural and hard to violate accidentally, so that a team shipping a new capability inherits the boundary instead of re-deriving it. You hold the authority to refuse a shipping decision on these grounds, and are expected to use it. Own the shared instruction and tool-description architecture HRSD ships as product: customers configure, extend, and override the instruction and tool surface on their own instances, and adjacent domains build against it. Treat it as a versioned contract with upgrade-safe extension points, deprecation paths, and compatibility guarantees. Own how that surface is structured, reviewed, and evolved across teams — including the authoring standards, the review bar, and the regression coverage that make natural-language logic maintainable at organizational scale rather than only within one codebase. Build the evaluation infrastructure the organization ships against Own evaluation as leverage: the golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection that let many teams change behavior safely and quickly. Extend coverage to the HR-specific failure classes — access-boundary violations in retrieval and citation, cross-scope leakage, jurisdictional and policy-variant correctness — and keep it meaningful across the range of customer configurations rather than a single reference environment. Define the resolution, containment, and quality metrics the domain is measured on, be the person who can say whether they are instrumented correctly, and raise the standard of evidence required before a behavioral change ships. Frame problems the organization has not yet framed Identify the risks, gaps, and structural weaknesses in model-driven behavior that no one has articulated yet, quantify them, and drive them to a decision. This includes the failure classes that only appear at scale or in specific customer environments, the second-order consequences of a model or platform change, and the places where current practice will not survive the next generation of capability. Bring these to product and engineering leadership with the analysis and the recommendation, not the problem alone. Direct AI coding agents, and set how the organization does Convert ambiguous problem statements into testable specifications with explicit scope, constraints, non-goals, and acceptance criteria; decompose work into agent-sized tasks; and supervise parallel workstreams. Beyond your own delivery, define what accountable agent-assisted engineering looks like for the domain — specification standards, review expectations, verification harnesses — and hold the line on it. You own the result regardless of what produced it, and you own the norm. Own production quality, safety, and reliability across the domain Own the observability and safety posture for agentic behavior: conversation quality, containment, hallucination rate, tool-selection error, unsafe or unauthorized action, and the paths where user-supplied content — case notes, inbound email, attachments, authored knowledge — enters agent context as an injection vector. Because HR conversation content is itself restricted, design diagnosis that works without exposing what was said. Lead root-cause analysis on the incidents no one else can resolve, hold the distinction between a genuine model failure and a platform or configuration failure presenting as one, and close the loop from production failure back into specification and evaluation. Deliver hands-on where it matters Stay in the code on the load-bearing parts: the hard integration, the risky migration, the prototype that settles an architectural argument, the incident nobody else can unblock. Delivery at this level is selective and deliberate rather than continuous, and the expectation is that your hands-on work resolves uncertainty for others rather than absorbing feature scope. Influence beyond the team Represent the domain's technical position to engineering and product leadership, to customers, and to partner organizations. Communicate capability and risk to non-engineering audiences without flattening either. Build alignment across teams that do not report to you and whose priorities compete. Grow staff-level engineers, raise the bar in technical review and hiring, and make the domain's practices around instruction authoring, evaluation, and accountable agent use durable enough to outlast your involvement in any one project. Required experience and skills 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. 12+ years software engineering experience (backend, frontend, or full stack) Strong JavaScript/Node.js, React and API integration skills Automated testing (unit + integration) and CI/CD pipeline experience Solid understanding of data modelling and query optimization Agentic delivery experience: Hands-on experience with AI/GenAI or ML-driven features (LLM prompting, NLU, classification models, or similar) Hands-on experience with LLM-integrated features: prompt design, context injection, output tuning, guardrails. Experience with NLU/intent classification or conversational AI systems Familiarity with ML-driven automation (classification, clustering, recommendation systems) Production AI integration. Experience integrating large language model APIs and retrieval-grounded features, including agent orchestration, tool and function calling, and structured output enforcement. 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 behaviour 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. 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. Preferred experience HR domain depth. HR case management, the employee lifecycle, or payroll, benefits, leave, and absence, at a depth sufficient to challenge a requirement rather than only implement it — including why the same policy question resolves differently by jurisdiction, employment type, or plan year. HCM and downstream integration. Integration with core HR, payroll, and benefits systems of record, including the reconciliation and eventual-consistency problems that come with treating an external system as the authority on employment data. Extensible product engineering. Building capability that customers configure, extend, and override on their own instances, where instruction and tool surfaces are versioned contracts rather than internal implementation. Evaluation and observability tooling. Evaluation frameworks, prompt and instruction management tooling, tracing for model-driven applications, and analysis of production transcripts at scale, particularly where transcript content is itself access-restricted. Conversational channel breadth. Employee self-service portals, virtual agent or chat shells, workplace messaging clients, and voice, including handoff between automated and live agents. Conversation design partnership. Working alongside conversation or content designers on dialogue flow, tone, and error-recovery design — with attention to how an HR answer is worded when the subject is the employee's own pay, health coverage, or employment status. Forward deployed delivery. Building against a customer's data, integrations, and channels, and tuning instructions and evaluation sets in their environment. Now Platform depth. Scoped applications, ACLs and platform security rules, Flow Designer, UI Builder, Automated Test Framework, and upgrade-safe extension patterns. 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.