Top 4473 Infrastructure engineer Jobs in San Jose, Ca

Staff Agentic Search Infrastructure Engineer - Moveworks
ServiceNow —Mountain View, CA
- $165,500 - $291,400 a year
- Online Application
- Computer science
- 6 years
- Computer Science
- Employee stock purchase plan
- Health insurance
Quick Apply
Senior Backend Engineer, Settlement & Ledger
NitinX —Santa Clara, CA
- $120,000 - $220,000 a year
- Full-time
- Hybrid work
- System design
- Office
- US work authorization
- Health insurance
- Dental insurance
Quick Apply
2d
Staff Engineer, Build & Toolchain Infrastructure
ASML —San Jose, CA
- $171,750 - $257,625 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Dental insurance
Principal / Distinguished Engineer - Multi-Cloud - Control Plane - Kubernetes
ServiceNow —Santa Clara, CA
- $254,500 - $445,400 a year
- Online Application
- Hybrid work
- 11+ years
- Office
- Residential
- Employee stock purchase plan
- Health insurance
Quick Apply
Senior Systems Engineer
CALIFORNIA SCHOOL EMPLOYEES ASSOCIATION —San Jose, CA
- $140,780 - $174,402 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Health insurance
Data Center Engineer
Etched —San Jose, CA
- $130,000 - $210,000 a year
- Full-time
- System design
- Mid-level
- Contracts
- Health insurance
- Dental insurance
Senior Infrastructure Engineer – Bazel Remote Execution
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Remote
- Java
- 8 years
- Bachelor's degree
Silicon Engineer, EDA Infrastructure
Meta —Sunnyvale, CA
- $114,000 - $141,000 a year
- Computer science
- Computer Science
- Mid-level
1d
Lab Engineer, Device Services Infrastructure
Apple —Santa Clara, CA
- $144,600 - $218,000 a year
- Mid-level
- 2 years
- Communication skills
- Employee stock purchase plan
- Health insurance
Data Center Support Engineer
Zoom —San Jose, CA
- $87,600 - $186,000 a year
- Weekends as needed
- Hybrid work
- Mid-level
- Fair chance
- 2 years
- Opportunities for advancement
System Design Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $92,000 - $184,000 a year
- Full-time
- Bachelor of Science
- System design
- Windows
Software Engineer, Machine Learning Infrastructure - USDS
TikTok USDS JV —San Jose, CA
- $136,800 - $359,720 a year
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Desktop Support
Atomic Machines —Santa Clara, CA
- $60 - $75 an hour
- Google Workspace
- Computer Science
- Mid-level
Quick Apply
7d
Systems Application Engineer - Early Career
Marvell —Santa Clara, CA
- $94,160 - $141,000 a year
- Full-time
- Laboratory experience
- Master's degree
- Electrical Engineering
- Employee stock purchase plan
ASIC Verification Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $100,000 - $189,750 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Staff Cloud Infrastructure Engineer
Assured —Palo Alto, CA
- $180,000 - $210,000 a year
- Full-time
- Remote
- Mentoring
- Senior level
- Health savings account
- Paid holidays
Site Reliability Engineer - Data Infrastructure
TikTok —San Jose, CA
- $156,000 - $316,800 a year
- On call
- Computer science
- Computer Science
- DevOps
- Paid parental leave
- Paid holidays
IT Infrastructure Compliance Engineer
NVIDIA —Santa Clara, CA
- $168,000 - $264,500 a year
- Full-time
- Azure
- Computer Science
- Windows
Machine Learning Infrastructure Engineer
WindBorne Systems —Palo Alto, CA
- $140,000 - $240,000 a year
- Full-time
- Mid-level
- Office
- Quality control
- Health insurance
- Dental insurance
6d
Senior Platform Engineer - Core Infrastructure
Lambda —San Jose, CA
- $230,000 - $340,000 a year
- Full-time
- Hybrid work
- System design
- Office
- AWS
- Health insurance
- Dental insurance
2d

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Staff Agentic Search Infrastructure Engineer - Moveworks

ServiceNow -
Mountain View, CA

Quick Apply

Job Details

Full-time
$165,500 - $291,400 a year

Benefits

Employee stock purchase plan
Health insurance
Flexible spending account
Family leave
401(k) matching

Qualifications

Search engines

Full Job Description

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Contribute to the org-wide shift from product-specific search solutions to a composable, agent-native infrastructure foundation that agents and applications build on to locate, search, discover, and recommend resources across heterogeneous enterprise data.

Build and own the infrastructural substrate beneath the agentic search platform, spanning the index engine, the ingestion and enrichment pipeline, and the entity, identity, and feature intelligence that gives content context. Solve the hard problem of keeping index-time enrichments aligned with what agents expect at query time, so retrieval, ranking, and reasoning all build on a consistent foundation.
Build and operate hybrid indexing technology at scale across large clusters, spanning keyword-based sparse-vector indices, embedding-based semantic indices, and emerging semantic-ID indexing driven by next-token prediction. Own the full index lifecycle, and expose clean, unified contracts to the search primitives and recipes that agents compose on top of the corpus.
Design and run high-throughput ingestion and enrichment pipelines that produce a multi-representation, permission-aware corpus at index time. Orchestrate the stages that make content agent-ready, including parsing, chunking, embedding, entity resolution, and access control, and evolve them as new agentic use cases emerge.
Build and operate multi-modal indexing across the full mix of enterprise data, from free text and structured content such as tables to diagrams, images, and audio and video. Represent each modality so it is retrievable through a unified surface, letting agents find the right material regardless of its form or source.
Contribute to a knowledge graph that resolves entities across enterprise data sources, letting agents link disparate resources such as tickets, files, and people through canonical entity relationships.
Improve the performance, scalability, and observability of search, including query latency, indexing throughput, and cluster health, to deliver low-latency, high-quality agentic search experiences. Apply techniques such as vector quantization to balance model quality, retrieval performance, and storage cost.
Own search infrastructure end to end, from intake and design through rollout and ongoing operations, and help shape the search roadmap as the platform grows to support new agents, primitives, and recipes, including needs not yet anticipated.
Drive reliability and operability across the platform through index lifecycle policies, capacity planning, and cluster scaling strategies that keep a growing library of reusable search capabilities healthy in production.

This is a highly collaborative, in-person role, working cross-functionally with Search Ranking, ML, and Platform engineering teams to deliver robust, production-grade agentic search capabilities.

Qualifications

BS or MS in Computer Science or an equivalent engineering background; PhD is a plus.
6+ years of full-time industry experience.
Hands-on experience with search technologies; proficiency in one or more search technologies such as Lucene, Solr, Elasticsearch, or OpenSearch is required, with additional experience in vector databases being an advantage.
Excited to be part of an in-person team culture, collaborating on-site with colleagues every day.

For positions in this location, we offer a base pay of $165,500 - $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.

Additional Information

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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 [email protected] 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.

Quick Apply

Refine Your Search

infrastructure engineer jobs in san jose, ca

Staff Agentic Search Infrastructure Engineer - Moveworks

Senior Backend Engineer, Settlement & Ledger

Staff Engineer, Build & Toolchain Infrastructure

Principal / Distinguished Engineer - Multi-Cloud - Control Plane - Kubernetes

Senior Systems Engineer

Data Center Engineer

Senior Infrastructure Engineer – Bazel Remote Execution

Silicon Engineer, EDA Infrastructure

Lab Engineer, Device Services Infrastructure

Data Center Support Engineer

System Design Engineer - New College Grad 2026

Software Engineer, Machine Learning Infrastructure - USDS

Desktop Support

Systems Application Engineer - Early Career

ASIC Verification Engineer - New College Grad 2026

Staff Cloud Infrastructure Engineer

Site Reliability Engineer - Data Infrastructure

IT Infrastructure Compliance Engineer

Machine Learning Infrastructure Engineer

Senior Platform Engineer - Core Infrastructure

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