Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design, build, and operate core infrastructure for a people-data and AI agent platform, including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.
- • Architect and maintain production-grade systems capable of handling millions of API requests with a focus on performance, cost efficiency, and reliability across cloud and Linux server environments.
- • Own projects end-to-end — from ambiguous problem definition through deployment and iteration — shipping quickly without sacrificing system integrity.
- • Collaborate directly with the CEO and CTO on technical decisions, roadmap priorities, and foundational architectural choices that will define the company's long-term direction.
- • Contribute broadly across the stack, including developer documentation, technical tutorials, internal tooling, and experimental builds that showcase and stress-test platform APIs.
- • Work in a seed-stage AI data infrastructure startup as a foundational hire with real ownership and direct influence on the product’s technical direction as it scales toward Series A.
- • Operate in a fast-moving, ambiguous environment as a first-principles thinker with founder aspirations, taking initiative without detailed direction.
- • Build systems that integrate AI agents and people-data pipelines, ensuring scalability, low latency, and robust error handling in production.
- • Implement and optimize data pipelines that ingest, normalize, and resolve identity data at scale using distributed systems and microservices.
- • Maintain and improve cloud infrastructure on AWS or GCP, ensuring high availability, security, and cost optimization for core platform services.
- • Participate in technical planning sessions to define the architecture of the platform’s next-generation features and scalability milestones.
- • Write clear, maintainable code and documentation that enables rapid iteration and onboarding of future engineering hires.
- • Stress-test platform APIs through experimental builds and internal tooling to identify performance bottlenecks and reliability risks.
- • Work exclusively on-site in San Francisco, CA, with no remote work option; candidates must be available to work in-person daily.
🎯 Requirements
- • 1+ years of professional experience shipping software to production.
- • Hands-on experience with APIs, distributed systems, microservices, and data pipelines.
- • Experience with cloud infrastructure (AWS or GCP) and Linux server environments.
- • Strong instincts for performance, reliability, and cost-efficient system design.
- • High agency — ability to move fast, take ownership, and operate well with limited direction.
- • First-principles thinker energized by building 0-to-1 in a fast-moving environment.
🏖️ Benefits
- • Salary: $150,000 – $220,000 USD annually.
- • Early-stage equity as a founding team member.
- • On-site work environment in San Francisco, CA.
- • Direct collaboration with CEO and CTO on foundational technical decisions.
Skills & Technologies
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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