Infrastructure Engineer (£65k–£95k + Equity) at Valyu
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Key skills for this role
About the Role
Valyu, a seed-stage startup building AI agent infrastructure, is hiring an Infrastructure Engineer to own petabyte-scale storage, retrieval, and serving systems. You will design high-performance architectures in Rust and Python on AWS/GCP.
Key Skills for This Role
Responsibilities
- Own the end to end architecture of critical layers, including search and storage engines, data lakes, ingestion pipelines, and ML serving systems.
- Make foundational technical decisions on storage formats, query algorithms, and scheduling models that balance petabyte scale latency against operational costs.
- Engineer high concurrency systems using Rust and Python, operating them on AWS and GCP with tools like Kubernetes, Terraform, and advanced observability.
Requirements
- At least 3 years of experience shipping and operating systems intensive infrastructure or distributed systems in production environments
- Highly proficient in Rust and Python
- Background in database internals, search infrastructure, or scaling ML systems like vector databases and RAG
- Managed cloud workloads on AWS/GCP
- Possess technical judgment to make long term architectural trade offs
Full Job Posting
Job Description
- Join Valyu to own the core infrastructure powering the next generation of AI agents.
- You will design and operate petabyte scale storage, retrieval, and serving systems.
- By building high performance architectures in Rust and Python, you'll ensure that AI agents have the fast, reliable context they need for complex reasoning and research.
What You Will Do
- Own the end to end architecture of critical layers, including search and storage engines, data lakes, ingestion pipelines, and ML serving systems.
- Make foundational technical decisions on storage formats, query algorithms, and scheduling models that balance petabyte scale latency against operational costs.
- Engineer high concurrency systems using Rust and Python, operating them on AWS and GCP with tools like Kubernetes, Terraform, and advanced observability.
The ideal candidate
- A mid level engineer with at least 3 years of experience shipping and operating systems intensive infrastructure or distributed systems in production environments.
- Highly proficient in Rust and Python, with a background in database internals, search infrastructure, or scaling ML systems like vector databases and RAG.
- A relentlessly resourceful builder who has managed cloud workloads on AWS/GCP and possesses the technical judgment to make long term architectural trade offs.
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