Ceramic.ai

Enterprise AI infrastructure accelerating distributed training

Infrastructure Engineer - Search

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeMountain View, CA, USANo salary listedIn-person

About the Job

Requirements

At least 4 years of experience building distributed systems at scale.
Deep experience with search infrastructure.
Strong understanding of caching strategies, sharding, and replication.
Experience optimizing for low-latency, high-throughput workloads.
Proficiency with cloud infrastructure.
Proficiency in C++.
Extensive hands-on coding experience.
Ability to understand the importance of uptime and propose designs that demonstrate this awareness.

Responsibilities

Design and maintain distributed search infrastructure across multiple regions.
Optimize query routing, load balancing, and failover strategies.
Build caching layers that maximize hit rates without sacrificing freshness.
Implement monitoring and alerting to catch performance degradations early.
Scale index management to handle billions of documents efficiently.
Ensure high availability and disaster recovery capabilities.

About the Role

You'll help build and scale the distributed systems that already make Ceramic.ai fast. Our customers will expect fast response times, and you'll ensure we deliver that consistently while handling growing query volumes.

What You'll Do

Design and maintain distributed search infrastructure across multiple regions
Optimize query routing, load balancing, and failover strategies
Build caching layers that maximize hit rates without sacrificing freshness
Implement monitoring and alerting to catch performance degradations early
Scale our index management to handle billions of documents efficiently
Ensure high availability and disaster recovery capabilities

What We're Looking For

4+ years building distributed systems at scale
Deep experience with search infrastructure
Strong understanding of caching strategies, sharding, and replication
Experience optimizing for low-latency, high-throughput workloads
Proficiency with cloud infrastructure
C++ proficiency
Deep hands on coding experience
Understand the importance of uptime and propose designs that show this awareness.

Benefits

100% medical/dental/vision insurance coverage, 90% for dependents
Employer sponsored 401k w Fidelity
3 weeks of full office shut down
Daily lunch when in office
Free office snacks
Flexible schedule
Great office views of the mountains
WFH stipend for office, cell phone & wifi
Generous time off
Free parking

About the Company

Ceramic.ai

Enterprise AI infrastructure accelerating distributed training

Ceramic.ai provides enterprise-grade AI infrastructure that speeds up distributed model training and reduces compute needs. Its platform enables long-context training for models of any size by using breakthrough optimizations and new architectural approaches, delivering faster training with lower costs. The product works by providing optimized, scalable training infrastructure and workflows that handle distributed training efficiently, allowing clients to run large-scale experiments and train models more quickly and cheaply; revenue comes from proof-of-concept engagements and enterprise partnerships. Ceramic.ai differentiates itself from competitors through its focus on long-context training, compute optimization, and enterprise-grade reliability, aiming to help businesses accelerate AI innovation at scale. The company’s goal is to empower enterprises and researchers to build superior models faster and more cost-effectively by supplying high-performance AI training infrastructure.

Company size: 51-200
Company stage: Seed
Total funding: $12M
Headquarters: Mountain View, CA
Founded: 2024

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