Description:

Woolf is on a mission to expand access and enhance quality in higher education by bridging the gap between regulators and colleges worldwide.
The company has grown to serve over 10,000 students across more than 30 colleges in just five years.
Woolf's platform has analyzed over 60 million learning activities and verified more than 300,000 study materials.
As the company enters its next growth phase, it is integrating AI and ML to enhance efficiency, scalability, and impact.
The Senior Back-End Engineer will help build stable, efficient, and scalable systems, focusing on backend engineering, optimizing performance, and working with AI-driven solutions.
The tech stack includes Node.js with tRPC for the backend, Gemini and Vertex AI for AI/ML, and GCP, Cloud Run, Cloud Tasks, Kubernetes, Redis for infrastructure, along with PostgreSQL, AlloyDB, and BigQuery for databases.
Responsibilities include developing and maintaining scalable, high-performance backend applications, integrating AI/ML capabilities, optimizing databases and APIs, researching best practices for AI/ML applications, conducting code reviews, and collaborating with product and technical teams.

Requirements:

Candidates must have experience in AI/ML-powered applications and scalable backend architectures.
A strong knowledge of PostgreSQL and system performance optimization is required.
Expertise in troubleshooting and resolving scalability and performance issues is essential.
Proficiency in English and strong communication skills are necessary.
The ability to work independently and take ownership of projects is expected.
A passion for learning and adapting to new technologies is important.
Commitment to delivering high-quality, maintainable code is required.

Joining Woolf means working on a high-impact mission that improves education worldwide.
Employees will be part of a fast-growing, AI-driven company.
There will be opportunities to collaborate with highly skilled engineers and product leaders.
Employees will have the chance to solve complex technical challenges at scale.