about 5 hours ago
Responsibilities
- Build, scale, and maintain infrastructure for AI solutions with organization-wide usage.
- Lead architecture and technical design to ensure system reliability and scalability.
- Collaborate with Product Managers and Tech Innovation Strategists to define problem statements and requirements.
- Set high standards for engineering culture through code reviews and mentoring.
- Participate in sprint planning, technical grooming, and retrospectives.
Requirements
- 5+ years of experience in software engineering with a focus on backend engineering and cloud infrastructure.
- 1+ years of experience building production-grade AI solutions.
- Proficiency in backend languages such as Python, Java, Node.js, or Go.
- Strong experience in implementing APIs and writing end-to-end automated tests.
- Deep understanding of cloud platforms like AWS, GCP, or Azure.
- Expertise in infrastructure as code tools like Terraform and CI/CD solutions.
Benefits
- Solve real-world challenges that drive impact across Coursera’s business functions.
- Work with a supportive and innovative team focused on continuous improvement.
- Become a go-to technical leader and shape the internal developer experience.
- Be part of a mission-driven company transforming global access to education.