SWE Backend
Role Overview
This senior-level backend engineering role involves architecting and developing high-performance systems for AI-driven analytics at a fast-paced startup. You'll build scalable APIs, optimize data processing pipelines, and ensure system security and reliability, working closely with front-end engineers and data scientists to deliver impactful features that help businesses control their AI presence.
Perks & Benefits
The job is remote, offering flexibility in location, though the description mentions an on-site role in Union Square, so time zone expectations may align with NYC hours. You'll join a high-performance startup environment with opportunities for career growth through ownership of key technical decisions, backed by recent Series B funding from top venture capital firms like Sequoia Capital.
Full Job Description
Profound is on a mission to help companies understand and control their AI presence. As a Backend Engineer, you’ll build and optimize the infrastructure that powers our AI-driven insights. You’ll design scalable APIs, process large datasets efficiently, and ensure high-performance systems that help businesses take control of their AI presence.
What You’ll Do
Architect and develop high-performance backend systems that support AI-driven analytics.
Build and maintain scalable APIs to power real-time insights and data retrieval.
Optimize data processing pipelines to handle large-scale structured and unstructured data.
Ensure system security, performance, and reliability at every level of the stack.
Work closely with front-end engineers and data scientists to deliver seamless, high-impact features.
Own key technical decisions, balancing speed with long-term maintainability.
Who You Are
A strong portfolio or GitHub showcasing backend development expertise.
Proficient in Node.js, Python, or Rust, with experience in scalable backend architecture.
Deep understanding of databases (PostgreSQL, MySQL, or OLAP databases) and query optimization.
Experience designing efficient data pipelines and working with distributed systems.
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Strong grasp of security best practices, API authentication, and performance tuning.
Comfortable in a fast-moving, high-performance startup environment.
This is an on-site role—designed for builders who thrive on speed, iteration, and impact.
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