Member of Technical Staff (Software Engineer, Storage Platform)
Design and improve the storage platform for Perplexity's products and AI workloads, ensuring reliability and performance.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the engineer will design and enhance the storage platform that supports all of Perplexity's products and AI workloads, focusing on reliability and performance. Key skills include expertise in major database technologies and a solid understanding of distributed systems, along with proficiency in backend programming languages like Go or Python. This position is ideal for seasoned professionals with a strong background in large-scale infrastructure systems and a collaborative mindset, as they will work closely with various teams to optimize data access and management.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Perplexity AI's career page.
- Perplexity AI has 115 other open roles including Member of Technical Staff (Applied AI Engineer, Agent Capabilities), Strategic Business Operations Lead, API, Technical Customer Success Manager, API.
- 6546 active Python roles on Joblaze right now.
- 1984 active Go roles on Joblaze right now.
- 1362 active PostgreSQL roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3240 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Member of Technical Staff (Software Engineer, Storage Platform) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Cassandra, DynamoDB, Go, MySQL, PostgreSQL, Python.
- What seniority level is this role?
- Perplexity AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Software Engineer, Storage Platform) role at Perplexity AI.
From the original posting
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.
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.
Qualifications
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.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.