Senior Full-Stack AI Platform Engineer

Servicenow

Santa Clara (CA)

On-site

USD 167,000 - 291,000

Full time

7 hours ago
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Benefits offered by this job

Health plans
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs

Job summary

ServiceNow is seeking a senior engineering leader to shape backend and frontend standards within the AI Experience team on a production-scale platform. You will mature architecture, improve quality, and build frameworks others rely on.

The role focuses on scalable RESTful APIs, Java backend, Kubernetes deployments, and collaboration with UX/PM to translate designs into reusable UI components. You will mentor engineers and drive AI integrations across workflows.

Qualifications

  • At least 12+ years of software engineering experience building scalable applications.
  • Experience driving AI integrations into work processes or products.
  • Proven track record of setting architecture and engineering standards at scale.

Responsibilities

  • Design and implement scalable RESTful APIs and microservices architectures.
  • Build and maintain backend services using Java and relational databases.
  • Develop and deploy microservices-based applications on Kubernetes.
  • Integrate backend services with frontend systems.
  • Design reusable component libraries, frameworks, and tooling for engineers.
  • Collaborate with UX, PM and design teams to translate designs into scalable UI components; mentor engineers.

Skills

Critical thinking
AI integration
Architectural governance
Mentoring
Cross-team collaboration

Tools

Java
Kubernetes
REST
JSON
AJAX
Relational databases

Job description

ServiceNow is seeking a senior engineering leader to shape backend and frontend standards within the AI Experience team on a production-scale platform. You will mature architecture, improve quality, and build frameworks others rely on.

The role focuses on scalable RESTful APIs, Java backend, Kubernetes deployments, and collaboration with UX/PM to translate designs into reusable UI components. You will mentor engineers and drive AI integrations across workflows.

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