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Member of Technical Staff (Software Engineer, Storage Platform)

San Francisco💼 Full-time🗓 2026-06-03 → 2026-07-31

Core

Design, operate, and optimize the storage platform (relational, NoSQL, vector databases) powering Perplexity's AI workloads and product data persistence.

Role type

Senior IC backend/infrastructure engineer (storage platform)

Builds

High-availability, high-performance storage systems and abstractions for AI and product teams

Domain

AI infrastructure, distributed systems, data management

Deliverable

production ML models | infrastructure

Required skills

distributed systems design, database technology expertise (Postgres, NoSQL, vector DBs), performance optimization, capacity planning, Go/Rust/Python proficiency, end-to-end service ownership

Preferred skills

cloud storage services familiarity, data modeling, low-latency system design

Technologies

Postgres, MySQL, DynamoDB, Cassandra, Go, Rust, Python

Responsibilities

Design and operate storage platform for AI workloads; own reliability SLOs and incident resolution; define storage abstractions and APIs; partner on data models and access patterns; lead capacity planning and cluster lifecycle management

Seniority

Senior, hands-on IC

Rewrite
## About the Role The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload. This foundational, high-impact group is responsible for the full spectrum of storage technologies – relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale. By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible. ## Responsibilities - Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases. - Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long-term fixes for storage-related incidents. - Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale. - Partner with AI, infra, and product teams to design data models and access patterns that meet low-latency, high-throughput, and cost-efficiency requirements. - Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations. ## Requirements - 5+ years of experience building and operating large-scale backend or infrastructure systems in production. - Deep hands-on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services. - Strong fundamentals in distributed systems, data modeling, and performance optimization for high-throughput, low-latency workloads. - Proven track record of owning services end-to-end, including design, implementation, deployment, and on-call. - Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python). - Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams. ## Nice to Have - None specified. ## Benefits - The role offers the opportunity to work on high-impact, foundational systems that power AI and product workloads. - Collaborate with cross-functional teams including AI, infrastructure, and product teams. - Contribute to the design and evolution of storage abstractions and tooling that enable product innovation.
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