Ragie
This range is provided by Ragie. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $200,000.00/yr - $250,000.00/yr
Direct message the job poster from Ragie
Fractional Head of Technical Recruitment | Podcast Host | YouTuber @yournexttechstartup Ragie is a fully managed
RAG-as-a-service
platform that makes building RAG applications seamless for AI developers. We streamline ingestion, chunking, and multimodal indexing of structured and unstructured data, with built-in features like query rewriting, reranking, and flexible vector filtering to help enterprises deliver state-of-the-art GenAI. Ragie integrates directly into enterprise workflows, injecting accurate and actionable knowledge into mission-critical systems.
We are growing and we are looking for a
Senior Infrastructure Engineer
to join our core engineering team. This role is a unique opportunity to design and own the infrastructure behind a platform that runs multimodal GenAI workloads at scale. You’ll work with cutting-edge infrastructure technologies across
multi-cloud environments ,
GPU-accelerated compute , and
large-scale AI/LLM deployments .
Responsibilities
Architect, build, and maintain the foundational infrastructure for Ragie’s AI platform.
Design and manage
multi-cloud deployments
across providers such as Google Cloud, AWS, and Azure.
Deploy and scale
GPU clusters
for running LLMs and multimodal workloads efficiently.
Lead the setup and configuration of
Kubernetes clusters
for container orchestration and workload management.
Implement
Docker-based containerization strategies
to streamline application deployment and scaling.
Deploy and manage
Elasticsearch clusters
for large-scale indexing and retrieval.
Integrate and optimize
vector databases
(e.g., Pinecone, Weaviate, or equivalent) for hybrid search workloads.
Design and manage SQL and NoSQL databases, ensuring performance, reliability, and scalability.
Establish robust
observability practices
with monitoring, logging, and metrics solutions.
Partner closely with product and ML engineers to translate requirements into scalable, cost-efficient infrastructure.
Continuously optimize infrastructure for performance, resilience, and efficiency.
Requirements
6+ years of professional experience (preferably in startups or fast-paced environments), with at least 4 years in infrastructure engineering roles.
Hands-on experience building infrastructure from scratch using
Kubernetes, Docker, and Google Cloud Platform .
Proven experience managing
multi-cloud infrastructure
and orchestrating workloads across providers.
Strong expertise deploying and managing
GPU infrastructure
at scale.
Experience
running LLMs in production
and optimizing for latency, throughput, and cost.
Deep experience deploying and scaling
Elasticsearch clusters .
Familiarity with
vector databases
and search technologies.
Strong understanding of SQL and NoSQL databases.
Proficiency in scripting and automation (Python preferred).
Experience with observability tools such as Prometheus, Grafana, ELK stack, etc.
Ability to work autonomously and take initiative in a dynamic, evolving startup environment.
Excellent communication and collaboration skills across teams.
Competitive salary and equity options.
Opportunity to make a significant impact and shape the infrastructure of a rapidly growing startup.
Work with a world-class team building the next generation of RAG and multimodal GenAI.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Ragie by 2x
Inferred from the description for this job Medical insurance
Vision insurance
Get notified about new Infrastructure Engineer jobs in
San Francisco, CA .
San Francisco, CA $191,000 - $250,000 1 day ago
San Francisco, CA $180,000 - $250,000 2 months ago
San Francisco, CA $150 - $175 7 months ago
San Francisco, CA $150,000 - $250,000 6 days ago
San Francisco, CA $150,000 - $250,000 1 day ago
San Francisco, CA $188,000 - $339,500 6 days ago
San Francisco, CA $100,000 - $220,000 5 months ago
San Francisco, CA $150,000 - $300,000 1 month ago
San Francisco, CA $130,000 - $500,000 21 hours ago
San Francisco, CA $140,000 - $180,000 1 day ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Base pay range $200,000.00/yr - $250,000.00/yr
Direct message the job poster from Ragie
Fractional Head of Technical Recruitment | Podcast Host | YouTuber @yournexttechstartup Ragie is a fully managed
RAG-as-a-service
platform that makes building RAG applications seamless for AI developers. We streamline ingestion, chunking, and multimodal indexing of structured and unstructured data, with built-in features like query rewriting, reranking, and flexible vector filtering to help enterprises deliver state-of-the-art GenAI. Ragie integrates directly into enterprise workflows, injecting accurate and actionable knowledge into mission-critical systems.
We are growing and we are looking for a
Senior Infrastructure Engineer
to join our core engineering team. This role is a unique opportunity to design and own the infrastructure behind a platform that runs multimodal GenAI workloads at scale. You’ll work with cutting-edge infrastructure technologies across
multi-cloud environments ,
GPU-accelerated compute , and
large-scale AI/LLM deployments .
Responsibilities
Architect, build, and maintain the foundational infrastructure for Ragie’s AI platform.
Design and manage
multi-cloud deployments
across providers such as Google Cloud, AWS, and Azure.
Deploy and scale
GPU clusters
for running LLMs and multimodal workloads efficiently.
Lead the setup and configuration of
Kubernetes clusters
for container orchestration and workload management.
Implement
Docker-based containerization strategies
to streamline application deployment and scaling.
Deploy and manage
Elasticsearch clusters
for large-scale indexing and retrieval.
Integrate and optimize
vector databases
(e.g., Pinecone, Weaviate, or equivalent) for hybrid search workloads.
Design and manage SQL and NoSQL databases, ensuring performance, reliability, and scalability.
Establish robust
observability practices
with monitoring, logging, and metrics solutions.
Partner closely with product and ML engineers to translate requirements into scalable, cost-efficient infrastructure.
Continuously optimize infrastructure for performance, resilience, and efficiency.
Requirements
6+ years of professional experience (preferably in startups or fast-paced environments), with at least 4 years in infrastructure engineering roles.
Hands-on experience building infrastructure from scratch using
Kubernetes, Docker, and Google Cloud Platform .
Proven experience managing
multi-cloud infrastructure
and orchestrating workloads across providers.
Strong expertise deploying and managing
GPU infrastructure
at scale.
Experience
running LLMs in production
and optimizing for latency, throughput, and cost.
Deep experience deploying and scaling
Elasticsearch clusters .
Familiarity with
vector databases
and search technologies.
Strong understanding of SQL and NoSQL databases.
Proficiency in scripting and automation (Python preferred).
Experience with observability tools such as Prometheus, Grafana, ELK stack, etc.
Ability to work autonomously and take initiative in a dynamic, evolving startup environment.
Excellent communication and collaboration skills across teams.
Competitive salary and equity options.
Opportunity to make a significant impact and shape the infrastructure of a rapidly growing startup.
Work with a world-class team building the next generation of RAG and multimodal GenAI.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Ragie by 2x
Inferred from the description for this job Medical insurance
Vision insurance
Get notified about new Infrastructure Engineer jobs in
San Francisco, CA .
San Francisco, CA $191,000 - $250,000 1 day ago
San Francisco, CA $180,000 - $250,000 2 months ago
San Francisco, CA $150 - $175 7 months ago
San Francisco, CA $150,000 - $250,000 6 days ago
San Francisco, CA $150,000 - $250,000 1 day ago
San Francisco, CA $188,000 - $339,500 6 days ago
San Francisco, CA $100,000 - $220,000 5 months ago
San Francisco, CA $150,000 - $300,000 1 month ago
San Francisco, CA $130,000 - $500,000 21 hours ago
San Francisco, CA $140,000 - $180,000 1 day ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr