Job Overview
Location
New York
Job Type
Full-time
Category
Software Engineering
Date Posted
August 11, 2026
Full Job Description
đź“‹ Description
- • Join a fast-growing, venture-backed AI data analytics company building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data.
- • As a Senior Software Engineer, Platform, you'll be a core member of the platform team shaping the data foundation that powers AI-driven analytics at scale — no heavy schema migrations or data movement required.
- • This is an early-stage, high-ownership role for a backend or platform engineer who thrives in a zero-to-one environment and wants to help define the architecture of next-generation AI analytics infrastructure.
- • You'll be responsible for building the system that gives AI agents the context to query enterprise data correctly, along with the guardrails to validate and prove results.
- • You'll design and implement orchestration systems for agents that interact with the real world, including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
- • You'll architect AI-centric ETL pipelines for data lakehouses, enabling large-scale analytics for organizations with minimal dedicated data engineering resources.
- • You'll work closely with the platform team to design and implement the data foundation that powers AI-driven analytics at scale.
- • You'll collaborate with cross-functional teams to ensure seamless integration and deployment of the platform.
- • You'll contribute to the development of the platform's architecture, ensuring it meets the needs of the business and is scalable, secure, and maintainable.
- • You'll participate in code reviews, ensuring high-quality code and adherence to coding standards.
- • You'll work in an agile environment, collaborating with the team to prioritize and deliver features and bug fixes.
🎯 Requirements
- • 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
- • Proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed.
- • Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
- • Experience building orchestration systems for distributed agents — covering API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization.
🏖️ Benefits
- • Salary: $200,000 – $350,000 USD annually, depending on experience.
- • Visa sponsorship is available.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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