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The Staff Software Engineer (IC4) on AI-Native ITSM designs, builds, ships, and operates capabilities whose core behavior is model-driven rather than explicitly authored—agentic and conversational experiences that interpret an IT operator's or end-user's intent, reason over incident, request, change, and knowledge contexts, invoke tools and workflows, and act on the user's behalf across the incident-to-resolution and request-to-fulfillment lifecycles. An agent operating on incidents and requests touches SLA compliance, incident classification accuracy, knowledge fidelity, and user trust—a confidently wrong diagnosis is not a suggestion, it is a failed resolution. At IC4 the engineer owns AI design decisions across the domain, not within a single feature, and owns the correctness of what ships whether a person or an agent produced it. #### What You Do - Build AI-native capability across the IT service management: Design and ship features built around agentic behavior—intent interpretation, multi-step reasoning, tool invocation, and action on the user's behalf—together with the data models, integrations, and channels that make them usable in production. In AI-Native ITSM this spans guided request categorization and routing, natural-language incident description and classification, conversational incident status and in-flight updates, intelligent assignment and routing, knowledge article recommendation and summarization, and auto-remediation orchestration. - Design AI-driven autonomous workflows: Decompose ITSM processes into the steps and decision points an agent can execute—determining where autonomy is appropriate, where a checkpoint with a person is required, and how exceptions, retries, and hand-back are handled. The design must make that distinction structural rather than advisory. - Author and maintain agentic instructions as engineering artifacts: Write, structure, and version the system instructions, role definitions, tool descriptions, guardrails, and escalation paths that govern agent behavior in the domain—under code review, source control, and regression coverage. Own the shared instruction and tool-description surface that adjacent teams build against. - Build automated evaluation and test non-deterministic behavior: Design and operate the evaluation that makes change safe—golden datasets, multi-turn conversation suites, model-as-judge scoring calibrated to human review, CI gates, and drift detection—plus adversarial, jailbreak, grounding, and tool-selection testing. - Design conversational experiences across channels: Build experiences that hold context across turns, hand off cleanly between automated and live agents, and behave consistently across chat and voice—accounting for what voice imposes: latency budgets, barge-in, speech recognition error, disambiguation, and explicit confirmation before consequential actions. - Specify precisely and direct AI coding agents: Convert requirements into testable specifications with explicit scope, constraints, non-goals, and acceptance criteria; decompose work into agent-sized tasks; supervise several workstreams in parallel; and review agent output for correctness, spec adherence, security, and maintainability. You own the result regardless of what produced it. - Own quality, safety, and reliability in production: Monitor conversation quality, containment, hallucination rate, tool-selection error, and unsafe or unauthorized action. Defend against prompt injection and data leakage across integration surfaces. Maintain reasoning-trace observability and model rollback mechanisms, and feed production failures back into specifications and evaluation sets. Lead root-cause analysis when agentic behavior deviates from intent. - Ground it in solid full-stack delivery: Build the application, APIs, data models, and integrations around these capabilities—front-end experiences for IT operators and end-users, server-side logic, and the connections to knowledge, asset, change, and fulfillment systems—with the CI/CD, observability, and upgrade-safe extensibility expected of production software. - Collaborate across product, design, and engineering: Partner with product managers, designers, conversation designers, and engineers to define success criteria and communicate capability and risk clearly. Mentor IC1 to IC3 engineers, and raise the team's practices around instruction authoring, evaluation, and accountable agent use. Required Experience and Skills - Production track record: A demonstrated record of building, shipping, and operating production software, including hands-on delivery of AI-native application features that real users depend on. Depth and demonstrated judgment matter more than tenure; typically around 9+ years of relevant software engineering experience. - Agentic delivery experience: Direct experience authoring agentic instructions and prompts, designing AI-driven autonomous workflows, and building the evaluation and testing that verifies them. This is required, not preferred. - Production AI integration: Experience integrating large language model APIs and retrieval-grounded features, including agent orchestration, tool and function calling, and structured output enforcement. - Domain ownership: Demonstrated ownership of a complex domain or subsystem end-to-end, including the architectural decisions, migrations, and operational consequences. - Engineering fundamentals: Strong command of data structures, algorithms, system design, APIs, data modeling, and testing. Proficiency in front-end development with a modern component framework, server-side development, relational data modeling, and REST and GraphQL API design. - Applied machine learning literacy: A working command of the concepts that govern how these systems behave—evaluation, embeddings, and the probabilistic output and failure modes of modern models—sufficient to reason about, debug, and verify model-driven behavior in production. - Accountable use of AI coding agents: Current, effective use of AI coding assistants and agents with evidence of accountable delivery: precise specification, critical review of generated output, and verification harnesses. - Operational experience: Hands-on CI/CD, containerized workloads, and observability experience, plus direct on-call and incident-command experience with customer-facing systems. - 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. Preferred Experience - ITSM domain depth: Incident management, request fulfillment, change management, problem management, knowledge management, or SLA-driven operations at a depth sufficient to challenge a requirement rather than only implement it. - Evaluation and observability tooling: Evaluation frameworks, prompt and instruction management tooling, tracing for model-driven applications, and analysis of production transcripts at scale. - Conversation design partnership: Working alongside conversation or content designers on dialogue flow, tone, and error-recovery design. - Forward-deployed delivery: Building against a customer's data, integrations, and ITSM tooling, and tuning instructions and evaluation sets in their environment. - Platform depth: ServiceNow ITSM experience including scoped applications, 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.

The Role As a Principal Engineer in HRSD, you set the technical direction for model-driven capability across the HR domain, the agentic and conversational experiences that interpret employee, manager, and HR agent intent, reason over profile, case, catalog, policy, and knowledge context, and act on the user's behalf. Your unit of ownership is the architecture, standards, and evaluation infrastructure that let multiple teams ship those experiences safely — not a single feature set. This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape the job: much of the load-bearing logic lives in natural language — instructions, prompts, context, tool descriptions, guardrails — and must be engineered with the same discipline as code; and because behavior is probabilistic, correctness is established through evaluation at scale, not fixed assertions. What You'll Own AI architecture for the domain. How agents are decomposed and composed, where reasoning happens, how context is assembled and bounded, how tools are exposed, and how autonomy is delegated. Own the multi-release calls: model selection and migration, orchestration approach, build-versus-adopt, and the cost/latency/quality tradeoffs behind each. The autonomy boundary. Decide as domain policy which HR actions an agent may take, which require a human decision point, and which no agent should attempt. Anything changing pay, employment status, restricted records, or employee-relations matters requires a human in the path by construction — build the mechanisms that make those constraints structural. The shared instruction and tool description surface. HRSD ships as product; customers configure, extend, and override this surface on their own instances. Treat it as a versioned contract with upgrade-safe extension points, deprecation paths, and compatibility guarantees. Evaluation as infrastructure. Own the golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection that let teams change behavior safely. Extend coverage to HR-specific failure classes: access-boundary violations, cross-scope leakage, jurisdictional and policy-variant correctness. Production quality and safety. Observability for containment, hallucination rate, tool-selection error, unsafe action, and injection vectors from user-supplied content entering agent context. Because HR conversation content is itself restricted, design diagnosis that works without exposing what was said. AI-assisted engineering standards. Convert ambiguous problems into testable specs; define what accountable agent-assisted delivery looks like for the domain — specification standards, review expectations, verification harnesses — and hold the line on it. Hands-on where it matters. The hard integration, the risky migration, the prototype that settles an architectural argument, the incident nobody else can unblock. Partner across functions. Collaborate efficiently with product, engineering, design to co-create scalable AI solutions and translate business needs into robust technical designs. What You Bring 10+ years of software engineering, with a record of technical direction adopted beyond your immediate team. Direct, hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building the evaluation that verifies them. Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement — including at least one model or orchestration migration carried through production. Entitlement-aware data handling: per-user access enforcement in retrieval and tool layers, scope separation between roles, and handling of restricted records under audit. Evaluation experience used by engineers other than yourself: dataset curation, judge calibration, CI gating, drift detection. Strong command of system design, APIs, data modeling, and testing across front-end, server-side, and relational data work with a high quality mindset. Effective, accountable use of AI coding assistants and agents. On-call and incident-command experience on customer-facing systems, including ownership of the systemic fixes that followed. Experience in software stack including Java, JavaScript/TypeScript, React and demonstrated ability to quickly learn new tools and frameworks. Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience. Preferred HR domain depth: case management, employee journey and lifecycle, or payroll/benefits/leave/absence sufficient to set requirements. Integration with core HR, payroll, or benefits systems of record, including reconciliation and eventual-consistency patterns. Contribution in a Forward deployment model to champion customer adoption. JV21 For positions in this location, we offer a base pay of $221,200 - $387,100 , 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.

The Role As a Principal Engineer in HRSD, you set the technical direction for model-driven capability across the HR domain, the agentic and conversational experiences that interpret employee, manager, and HR agent intent, reason over profile, case, catalog, policy, and knowledge context, and act on the user's behalf. Your unit of ownership is the architecture, standards, and evaluation infrastructure that let multiple teams ship those experiences safely — not a single feature set. This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape the job: much of the load-bearing logic lives in natural language — instructions, prompts, context, tool descriptions, guardrails — and must be engineered with the same discipline as code; and because behavior is probabilistic, correctness is established through evaluation at scale, not fixed assertions. What You'll Own AI architecture for the domain. How agents are decomposed and composed, where reasoning happens, how context is assembled and bounded, how tools are exposed, and how autonomy is delegated. Own the multi-release calls: model selection and migration, orchestration approach, build-versus-adopt, and the cost/latency/quality tradeoffs behind each. The autonomy boundary. Decide as domain policy which HR actions an agent may take, which require a human decision point, and which no agent should attempt. Anything changing pay, employment status, restricted records, or employee-relations matters requires a human in the path by construction — build the mechanisms that make those constraints structural. The shared instruction and tool description surface. HRSD ships as product; customers configure, extend, and override this surface on their own instances. Treat it as a versioned contract with upgrade-safe extension points, deprecation paths, and compatibility guarantees. Evaluation as infrastructure. Own the golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection that let teams change behavior safely. Extend coverage to HR-specific failure classes: access-boundary violations, cross-scope leakage, jurisdictional and policy-variant correctness. Production quality and safety. Observability for containment, hallucination rate, tool-selection error, unsafe action, and injection vectors from user-supplied content entering agent context. Because HR conversation content is itself restricted, design diagnosis that works without exposing what was said. AI-assisted engineering standards. Convert ambiguous problems into testable specs; define what accountable agent-assisted delivery looks like for the domain — specification standards, review expectations, verification harnesses — and hold the line on it. Hands-on where it matters. The hard integration, the risky migration, the prototype that settles an architectural argument, the incident nobody else can unblock. Partner across functions. Collaborate efficiently with product, engineering, design to co-create scalable AI solutions and translate business needs into robust technical designs. What You Bring 10+ years of software engineering, with a record of technical direction adopted beyond your immediate team. Direct, hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building the evaluation that verifies them. Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement — including at least one model or orchestration migration carried through production. Entitlement-aware data handling: per-user access enforcement in retrieval and tool layers, scope separation between roles, and handling of restricted records under audit. Evaluation experience used by engineers other than yourself: dataset curation, judge calibration, CI gating, drift detection. Strong command of system design, APIs, data modeling, and testing across front-end, server-side, and relational data work with a high quality mindset. Effective, accountable use of AI coding assistants and agents. On-call and incident-command experience on customer-facing systems, including ownership of the systemic fixes that followed. Experience in software stack including Java, JavaScript/TypeScript, React and demonstrated ability to quickly learn new tools and frameworks. Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience. Preferred HR domain depth: case management, employee journey and lifecycle, or payroll/benefits/leave/absence sufficient to set requirements. Integration with core HR, payroll, or benefits systems of record, including reconciliation and eventual-consistency patterns. Contribution in a Forward deployment model to champion customer adoption. JV21 For positions in this location, we offer a base pay of $199,100 - $348,400 , 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.

The Role As a Staff Engineer in HRSD, you set the technical direction for model-driven capability across the HR domain, the agentic and conversational experiences that interpret employee, manager, and HR agent intent, reason over profile, case, catalog, policy, and knowledge context, and act on the user's behalf. Your unit of ownership is the architecture, standards, and evaluation infrastructure that let multiple teams ship those experiences safely — not a single feature set. This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape the job: much of the load-bearing logic lives in natural language — instructions, prompts, context, tool descriptions, guardrails — and must be engineered with the same discipline as code; and because behavior is probabilistic, correctness is established through evaluation at scale, not fixed assertions. What You'll Own AI architecture for the domain. How agents are decomposed and composed, where reasoning happens, how context is assembled and bounded, how tools are exposed, and how autonomy is delegated. Own the multi-release calls: model selection and migration, orchestration approach, build-versus-adopt, and the cost/latency/quality tradeoffs behind each. The autonomy boundary. Decide as domain policy which HR actions an agent may take, which require a human decision point, and which no agent should attempt. Anything changing pay, employment status, restricted records, or employee-relations matters requires a human in the path by construction — build the mechanisms that make those constraints structural. The shared instruction and tool description surface. HRSD ships as product; customers configure, extend, and override this surface on their own instances. Treat it as a versioned contract with upgrade-safe extension points, deprecation paths, and compatibility guarantees. Evaluation as infrastructure. Own the golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection that let teams change behavior safely. Extend coverage to HR-specific failure classes: access-boundary violations, cross-scope leakage, jurisdictional and policy-variant correctness. Production quality and safety. Observability for containment, hallucination rate, tool-selection error, unsafe action, and injection vectors from user-supplied content entering agent context. Because HR conversation content is itself restricted, design diagnosis that works without exposing what was said. AI-assisted engineering standards. Convert ambiguous problems into testable specs; define what accountable agent-assisted delivery looks like for the domain — specification standards, review expectations, verification harnesses — and hold the line on it. Hands-on where it matters. The hard integration, the risky migration, the prototype that settles an architectural argument, the incident nobody else can unblock. Partner across functions. Collaborate efficiently with product, engineering, design to co-create scalable AI solutions and translate business needs into robust technical designs. What You Bring 7+ years of software engineering, with a record of technical direction adopted beyond your immediate team. Direct, hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building the evaluation that verifies them. Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement — including at least one model or orchestration migration carried through production. Entitlement-aware data handling: per-user access enforcement in retrieval and tool layers, scope separation between roles, and handling of restricted records under audit. Evaluation experience used by engineers other than yourself: dataset curation, judge calibration, CI gating, drift detection. Strong command of system design, APIs, data modeling, and testing across front-end, server-side, and relational data work with a high quality mindset. Effective, accountable use of AI coding assistants and agents. On-call and incident-command experience on customer-facing systems, including ownership of the systemic fixes that followed. Experience in software stack including Java, JavaScript/TypeScript, React and demonstrated ability to quickly learn new tools and frameworks. Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience. Preferred HR domain depth: case management, employee journey and lifecycle, or payroll/benefits/leave/absence sufficient to set requirements. Integration with core HR, payroll, or benefits systems of record, including reconciliation and eventual-consistency patterns. Contribution in a Forward deployment model to champion customer adoption. FD21 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.

The Role As a Staff Engineer in HRSD, you set the technical direction for model-driven capability across the HR domain, the agentic and conversational experiences that interpret employee, manager, and HR agent intent, reason over profile, case, catalog, policy, and knowledge context, and act on the user's behalf. Your unit of ownership is the architecture, standards, and evaluation infrastructure that let multiple teams ship those experiences safely — not a single feature set. This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape the job: much of the load-bearing logic lives in natural language — instructions, prompts, context, tool descriptions, guardrails — and must be engineered with the same discipline as code; and because behavior is probabilistic, correctness is established through evaluation at scale, not fixed assertions. What You'll Own AI architecture for the domain. How agents are decomposed and composed, where reasoning happens, how context is assembled and bounded, how tools are exposed, and how autonomy is delegated. Own the multi-release calls: model selection and migration, orchestration approach, build-versus-adopt, and the cost/latency/quality tradeoffs behind each. The autonomy boundary. Decide as domain policy which HR actions an agent may take, which require a human decision point, and which no agent should attempt. Anything changing pay, employment status, restricted records, or employee-relations matters requires a human in the path by construction — build the mechanisms that make those constraints structural. The shared instruction and tool description surface. HRSD ships as product; customers configure, extend, and override this surface on their own instances. Treat it as a versioned contract with upgrade-safe extension points, deprecation paths, and compatibility guarantees. Evaluation as infrastructure. Own the golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection that let teams change behavior safely. Extend coverage to HR-specific failure classes: access-boundary violations, cross-scope leakage, jurisdictional and policy-variant correctness. Production quality and safety. Observability for containment, hallucination rate, tool-selection error, unsafe action, and injection vectors from user-supplied content entering agent context. Because HR conversation content is itself restricted, design diagnosis that works without exposing what was said. AI-assisted engineering standards. Convert ambiguous problems into testable specs; define what accountable agent-assisted delivery looks like for the domain — specification standards, review expectations, verification harnesses — and hold the line on it. Hands-on where it matters. The hard integration, the risky migration, the prototype that settles an architectural argument, the incident nobody else can unblock. Partner across functions. Collaborate efficiently with product, engineering, design to co-create scalable AI solutions and translate business needs into robust technical designs. What You Bring 7+ years of software engineering, with a record of technical direction adopted beyond your immediate team. Direct, hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building the evaluation that verifies them. Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, and structured output enforcement — including at least one model or orchestration migration carried through production. Entitlement-aware data handling: per-user access enforcement in retrieval and tool layers, scope separation between roles, and handling of restricted records under audit. Evaluation experience used by engineers other than yourself: dataset curation, judge calibration, CI gating, drift detection. Strong command of system design, APIs, data modeling, and testing across front-end, server-side, and relational data work with a high quality mindset. Effective, accountable use of AI coding assistants and agents. On-call and incident-command experience on customer-facing systems, including ownership of the systemic fixes that followed. Experience in software stack including Java, JavaScript/TypeScript, React and demonstrated ability to quickly learn new tools and frameworks. Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience. Preferred HR domain depth: case management, employee journey and lifecycle, or payroll/benefits/leave/absence sufficient to set requirements. Integration with core HR, payroll, or benefits systems of record, including reconciliation and eventual-consistency patterns. Contribution in a Forward deployment model to champion customer adoption. FD21 For positions in this location, we offer a base pay of $166,500 - $291,400 , 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.

Job Summary We are seeking an experienced Senior Workday Integration Developer to independently own and deliver complex Workday integration initiatives. This role requires deep technical expertise across the Workday integration ecosystem and the ability to contribute with minimal ramp-up time, supporting both strategic project work and mission-critical production operations. Key Responsibilities Independently design, develop, test, and deploy Workday integrations end-to-end. Build and maintain integrations using Workday Studio, EIB, Core Connectors, and Orchestrate.Experience with Workday Web Services and APIs (REST and SOAP) Develop and support PECI/PICOF payroll integrations. Design integrations between Workday and external enterprise applications using custom REST APIs. Build and maintain reporting solutions using Workday Reports, RaaS, and Calculated FieldsImplement and manage integration authentication and security, including OAuth 2.0, ISU (Integration System User) configuration, Integration System Security Groups, domain security policies, and API scopes. Troubleshoot integration issues, optimize performance, and provide ongoing production support Support recurring business-critical programs, including Annual Compensation Review (ACR), Mid-Year Performance processes, and biannual Workday releases/regression testingContribute to strategic initiatives such as Workday Payroll, My Total Rewards (MTR), Moveworks, and new third-party/vendor integrations Partner effectively with business, security, architecture, and external vendor teams throughout the integration lifecycle To be successful in this role you have: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. 5+ years of experience in Workday integrations, with strong hands-on development experience. Experience designing, developing, testing, deploying, and supporting Workday integrations. Strong experience with Workday Studio, EIB, Prism, Core Connectors, Cloud Connect, and Workday Web Services (SOAP/REST APIs). Proficiency in XML, XSLT, XPath, JSON, and web service technologies. Experience with integration middleware and enterprise integration platforms such as Boomi, MuleSoft, or similar technologies. Strong understanding of Workday business processes, security, calculated fields, custom reports, and integration system configurations. Experience troubleshooting and resolving integration failures and production issues. Ability to analyze business requirements and translate them into scalable and reliable integration solutions. Experience working in an Agile development environment using tools such as Jira or similar platforms. Strong problem-solving, communication, and stakeholder management skills. Preferred Qualifications Experience integrating Workday with enterprise systems such as HR, Payroll, Benefits, Finance, Identity Management, and third-party applications. Knowledge of Workday integration best practices, security, and data privacy standards. Experience with monitoring, support, and operational management of enterprise integrations. Familiarity with DevOps practices, version control, CI/CD, and automated testing. Workday Integration certification is a plus. Ability to work independently while effectively collaborating with cross-functional and global teams. 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 Overview ServiceNow is seeking a highly motivated and experienced Senior Staff Software Engineer for platform engineering across DevOps, Deployment, and Performance Engineering functions within the PAXE DevOps & Performance Engineering organization. This role sits at the intersection of developer productivity, AI-native tooling, and operational excellence, owning the systems and practices that enable teams to ship with speed and confidence. As a technical anchor on the team, you will drive the strategy and execution for CI/CD pipeline enablement, the cross team AI development platform, and shift-left performance engineering. You will work closely with partner organizations including framework, UX and other engineering teams to build the infrastructure and tooling that powers how AI is built, tested, and delivered at ServiceNow. Success in this role requires strong cross-functional collaboration aligning on developer experience, end-to-end delivery, and platform teams on observability and release quality. This role offers high executive visibility and the opportunity to shape foundational engineering practices across the organization. Key Responsibilities DevOps & Release Engineering Lead design and execution of CI/CD pipeline enablement, working with devProd to improve developer throughput, greenlight processes, and merge guidance. Own the Application Rating Tool and observability infrastructure, partnering with platform teams to surface actionable engineering metrics via a centralized dashboard. Drive the all Pods technically, establishing scalable testing patterns across frameworks and applications built on Karuna. Build and maintain the IT initial triage agent, applying AI to automate first-line engineering support. Cross team delivery Platform Own the cross team platform roadmap. Architect and implement batch API strategies to avoid API rate-limit thresholds and improve platform reliability. Build and iterate on the Pod Coach / Scrum Master agent, applying agentic AI to improve team delivery workflows. Drive MCP integration and lead weekly communications, demos, and governance meetings to align stakeholders and scale adoption. Maintain documentation and program-level visibility. Performance Engineering Lead a shift-left performance strategy, embedding client, API, and page-load performance tooling earlier in the development lifecycle. Define and drive performance monitoring requirements for Lit based framework and application-level workloads. Own the Performance Tooling efforts, reporting infrastructure, and test data strategy. Coordinate with the broader Performance Engineering team on MCP integration and result triage workflows. Technical Leadership Act as a technical leader and mentor, setting engineering standards, driving code quality, and fostering a culture of continuous improvement. Champion the use of AI to accelerate DevOps and platform engineering including AI-assisted PR reviews, skill/agent development, deployment recommendations, test generation, and predictive monitoring. Partner with Engineering Managers and cross-functional teams to align on roadmap priorities, delivery milestones, and operational health. 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 of software engineering experience in a high-traffic, cloud-based environment, with at least 3 years in a senior or staff-level individual contributor role. Strong proficiency in Java, javascript and/or Python, with solid understanding of distributed systems, concurrency, and scalable service design. Deep hands-on experience with CI/CD platforms (e.g., Jenkins, GitHub Actions) and modern DevOps tooling at scale including pipeline design, build optimization, and release automation. Expert-level knowledge of Kubernetes and container orchestration Strong observability and monitoring background — hands-on with Grafana, Prometheus, OpenTelemetry, or equivalent stacks; able to design and instrument dashboards, alerts, and SLO/SLI frameworks across distributed services. Experience operating and debugging services on Kubernetes clusters — log aggregation, tracing, resource profiling, and incident response in containerized environments. Demonstrated experience building and operating developer productivity or internal platform tooling. Understanding of performance engineering concepts including load testing, API latency profiling, page-load optimization, and shift-left testing strategies. Track record of applying AI/ML or agentic AI to engineering workflows; experience with MCP, A2A, or AI-native development platforms is a strong plus. Excellent cross-functional collaboration and communication skills — able to influence partner orgs (App and platform teams), lead governance forums, and drive alignment without direct authority. Familiarity with the ServiceNow platform is a plus. 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. 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.