Member of Technical Staff (Software Engineer, Enterprise Knowledge Platform)
Perplexity5 months ago
London, United Kingdom +4 moreMid Level
H1B sponsor
Base Salary
$220k - $405k/yr
Responsibilities
- Own the runtime for registering, hosting, and executing native connectors, hosted MCP servers, and CLI-backed tools.
- Build semantic schemas, capability metadata, relationships, organizational terminology, provenance tracking, and permission-aware knowledge layers.
- Design discovery, search, and recommendation systems for tools and enterprise context.
- Build marketplace and activation experiences covering browsing, recommendations, installation, configuration, admin enablement, and adoption.
- Improve connector reliability with structured results, retries, idempotency, pagination, rate-limit handling, monitoring, and incident response.
- Implement connector authentication, credential isolation, permission enforcement, and tenant boundaries.
- Build onboarding and publishing workflows for internal teams and external partners, including validation, review, testing, and versioning.
- Lead ambiguous cross-team initiatives from architecture through adoption and mentor other engineers.
Requirements
- 4+ years of software engineering experience owning complex backend systems through design and production operation.
- Strong system design experience building reliable, scalable platforms that integrate heterogeneous APIs and services with security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust.
- Hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in connector runtimes, API platforms, MCP servers, semantic modeling, knowledge systems, search, ranking, recommendation, marketplaces, developer platforms, or enterprise onboarding experiences.
- Ability to work across backend infrastructure and customer-facing product experiences and translate integration requirements into APIs, developer tools, and workflows.
- Sound technical judgment in security-sensitive distributed systems, including credential isolation, permission correctness, failure behavior, performance, and usability.
- Track record of leading ambiguous cross-team initiatives, setting technical direction, and raising engineering quality through mentorship.
- Applicants are encouraged to apply even if they do not meet every qualification; demonstrated impact, ownership, and initiative are valued.
About Perplexity
Perplexity builds an AI-powered answer engine for web and mobile and an enterprise product, Perplexity Computer, for AI-driven workflows across tools and apps. The company monetizes through individual subscriptions (Perplexity Pro) and enterprise plans. Founded in 2022 and headquartered in San Francisco, it operates as a privately held company.