Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Storage Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design, operate, and scale Perplexity's storage platform across relational, NoSQL, and vector databases; own reliability and performance of stateful services; define storage APIs and tooling for product teams; collaborate with AI, infra, and product teams; lead capacity planning and lifecycle management to ensure low latency, high throughput, and cost efficiency for AI workloads.

Location: San Francisco, New York, Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Key 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 (e.g., 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 backend language (Go, Rust, or Python).

Experience:5+ yearsStorageBackendInfrastructureDatabasesDistributed systems

Skills:GoRustPythonPostgreSQLMySQLDynamoDBCassandraNoSQLVector databasesRelational databasesCloud storage

Languages:English

Tech Stack:GoRustPythonPostgreSQLMySQLDynamoDBCassandraNoSQLVector databasesCloud storageDistributed systems

Company Brief

Perplexity

Perplexity AI provides an AI-powered answer engine that returns conversational, citation-backed answers to user queries and offers Pro/Enterprise products and APIs for research, knowledge work, and search augmentation.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor

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Perplexity

1 month ago

Member of Technical Staff (Software Engineer, Storage Platform)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key 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.

Pay and Benefits

Salary: USD 220,000 - 405,000 annually

Equity and Bonus:Equity

Key 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 (e.g., 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 backend language (Go, Rust, or Python).

Experience:5+ yearsStorageBackendInfrastructureDatabasesDistributed systems

Skills:GoRustPythonPostgreSQLMySQLDynamoDBCassandraNoSQLVector databasesRelational databasesCloud storage

Languages:English

Tech Stack:GoRustPythonPostgreSQLMySQLDynamoDBCassandraNoSQLVector databasesCloud storageDistributed systems

Company Brief

Perplexity

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.6

Website LinkedIn Glassdoor