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Principal Software Engineer - Platform Engineering Workflow Automation

servicenow
Santa Clara, USA
Full-time
Onsite
$221,200–$387,100,
Discovered 1 weeks ago
Software engineeringPlatform engineeringWorkflow automationDistributed systemsWorkflow enginesIntegration platforms
Free

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Software engineeringPlatform engineeringWorkflow automation
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Role overview

Join the team building workflow and automation engines that power work across the ServiceNow Platform.

The engines process billions of workflow transactions each month and are being extended for AI-native, agentic workflows.

The role focuses on architecture, performance, reliability, and platform durability at enterprise scale.

Architecture and technical direction

  • Lead architecture and technical direction for problem areas across the workflow and automation portfolio.
  • Work with product and engineering leads to identify blockers and architectural opportunities.
  • Participate in design reviews and use data to challenge risky technical decisions.
  • Balance long-term architecture with shipping speed, customer impact, engineering velocity, and business priorities.

Hands-on engineering

  • Build prototypes and reference implementations to validate architectural ideas before broad adoption.
  • Test ideas with experiments and real data rather than design documents alone.
  • Document effective patterns and tradeoffs for reuse by other engineering teams.

AI-native workflow evolution

  • Move workflow capabilities toward agentic execution, improved context and data use, more autonomous flows, and concrete engineering outcomes.
  • Investigate underperforming agentic features across architecture, data, user experience, and cost model dimensions.
  • Reason about data quality, workflow correctness, evaluation, safety controls, observability, and human-in-the-loop review.

Collaboration and mentoring

  • Influence architecture across engineering teams through technical credibility and collaboration rather than formal authority.
  • Share effective practices across teams and help reusable patterns spread faster.
  • Mentor senior engineers and raise engineering standards.

Experience and technical qualifications

  • 15+ years of engineering experience or equivalent practical experience.
  • Strong experience building and operating large-scale distributed systems, workflow engines, integration frameworks, or cloud-scale infrastructure handling high transaction volumes.
  • Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness.
  • Strong technical depth in Java, Python, or a comparable programming language.
  • Proven ability to define technical direction and influence architecture across teams.

Preferred experience

  • Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems is strongly preferred.
  • Experience with workflow automation, business process management, low-code or no-code platforms, or process orchestration at scale is a strong plus.
  • Experience with large-scale enterprise customers, production systems, or complex migration and modernization efforts is a plus.

Compensation

  • The listed base pay range for this location is $221,200–$387,100, plus equity when applicable, variable or incentive compensation, and benefits.
  • Individual total compensation varies based on qualifications, skill level, competencies, and work location.

Work personas

  • ServiceNow uses flexible, remote, and required-in-office work personas based on the nature of the work and assigned work location.
  • Eligibility for a work persona may be determined using the distance between an employee's primary residence and the nearest ServiceNow office.

About ServiceNow

ServiceNow provides an AI platform that brings together AI, data, and workflow to support business reinvention.

The company states that its platform is used by 85% of Fortune 500 companies.

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