Opportunity Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
techroles

Principal Software Engineer

ServiceNow servicenow.com Open · verified Oct 24, 2026
Hybrid Santa Clara Full-time Senior Software Engineering

At a glance

Senior Software Engineering role at ServiceNow. Santa Clara · full-time · $221,200–$387,100 base.

SalaryStated by ServiceNow
$221,200 – $387,100
Base salary for this role, in USD per year, as published in the posting.
This role, from ServiceNowOur estimate for the market: $169,898–$205,538Median $184,095
Above the market median of $184,095 for senior software engineering roles in Santa Clara.
Worked out from 30 postings that stated pay, median $184,095. Last updated Oct 24, 2026.
RoleSoftware Engineering
SenioritySenior
LocationSanta Clara
WorkplaceHybrid
EmploymentFull-time
Base pay$221,200–$387,100
PostedSep 24, 2026 · 4w ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Set the HR domain’s agent architecture, including how agents reason, use context and tools, and hand off decisions
  • Define which HR tasks agents can perform, require human review, or must not handle, with safeguards for sensitive actions
  • Maintain customer-configurable instructions and tool descriptions as versioned interfaces with safe upgrade paths
  • Build evaluation systems that test HR-specific access, data separation and policy risks, and catch changes in behavior
  • Establish production monitoring and privacy-conscious incident diagnosis, and step in on difficult integrations or migrations

What you bring

  • At least ten years in software engineering, with technical decisions adopted beyond your own team
  • Hands-on work creating agent instructions, autonomous workflows and evaluations, plus production LLM systems and a completed migration
  • Experience enforcing user-level access in retrieval and tools, and building evaluations used by other engineers
  • You bring system design, API, data modeling and testing skills across client, server and relational data work
  • A computer science, software engineering or related technical degree, or equivalent practical experience

Who this fits

This principal-level role suits an engineer who sets direction across teams while staying hands-on with high-risk technical work. It is focused on production agent systems and evaluation, not foundation-model research. The role is based in Santa Clara and is listed as hybrid.

From the employer

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$220k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.