The ad says“Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python)”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python)”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads”
The ad says“Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services”
The ad says“Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python)”
The ad says“Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python)”
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
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
Preferred experience
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above
Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams
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)
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
5+ years of experience building and operating large‑scale backend or infrastructure systems in production