Job Description
Full job description
Search Infrastructure Engineer
What you can expect
We’re building the next-generation AI-native knowledge platform to help organizations easily access and retrieve internal knowledge using the power of LLMs. You’ll join a fast-moving engineering team to build scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure — powering enterprise search, AI assistants, and knowledge discovery experiences.
About the Team
You’ll collaborate with world-class engineers, designers, and product thinkers to define what "AI-powered search" really means in the enterprise. As a core engineer on this team, you'll work across real-time document pipelines, vector databases, and permission-aware retrieval to push the boundaries of applied LLM systems at scale.
Responsibilities
Designing and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, whiteboards, videos, etc.).
Building robust ingestion and indexing pipelines for semi-structured data sources with fine-grained, permission-aware access control.
Developing APIs and backend systems to enable efficient querying, retrieval, and ranking.
Collaborating with ML/NLP engineers to iterate on embedding models and improve search quality.
Ensuring reliability, low latency, and scalability across the entire data retrieval and augmentation stack.
Monitoring system performance and optimize for high-throughput, low-latency workloads under real-world load.
What we’re looking for
Have experience (4+) in backend or distributed systems engineering
Have a productivity mindset with experience using AI tools effectively
Have experience designing and operating large-scale data ingestion pipelines (message queues, vector stores, Temporal, Elasticsearch etc.)
Track record of building highly available, multi-tenant backend services
Have experience with document-level permission modeling and secure data handling
Possess with cloud-native tools such as Docker, Kubernetes, and AWS
Have experience in Go is a bonus
Have experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.)
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Search Infrastructure Engineer
What you can expect
We’re building the next-generation AI-native knowledge platform to help organizations easily access and retrieve internal knowledge using the power of LLMs. You’ll join a fast-moving engineering team to build scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure — powering enterprise search, AI assistants, and knowledge discovery experiences.
About the Team
You’ll collaborate with world-class engineers, designers, and product thinkers to define what "AI-powered search" really means in the enterprise. As a core engineer on this team, you'll work across real-time document pipelines, vector databases, and permission-aware retrieval to push the boundaries of applied LLM systems at scale.
Responsibilities
Designing and implement a scalable RAG system for real-time Q&A across internal content (meetings, messages, documents, whiteboards, videos, etc.).
Building robust ingestion and indexing pipelines for semi-structured data sources with fine-grained, permission-aware access control.
Developing APIs and backend systems to enable efficient querying, retrieval, and ranking.
Collaborating with ML/NLP engineers to iterate on embedding models and improve search quality.
Ensuring reliability, low latency, and scalability across the entire data retrieval and augmentation stack.
Monitoring system performance and optimize for high-throughput, low-latency workloads under real-world load.
What we’re looking for
Have experience (4+) in backend or distributed systems engineering
Have a productivity mindset with experience using AI tools effectively
Have experience designing and operating large-scale data ingestion pipelines (message queues, vector stores, Temporal, Elasticsearch etc.)
Track record of building highly available, multi-tenant backend services
Have experience with document-level permission modeling and secure data handling
Possess with cloud-native tools such as Docker, Kubernetes, and AWS
Have experience in Go is a bonus
Have experience integrating with SaaS platforms (Google Workspace, Microsoft 365, Slack, etc.)
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
💡 Quick Summary
Seeking a career-building opportunity? The Search Infra Engineer position is now open for candidates interested in the Remote Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.