Aida
Backend and Infra Engineer
About this role
Aida, a stealth-mode B2B enterprise AI startup founded by former leaders from Glean and Apple, seeks an experienced Backend and Infra Engineer to build and maintain scalable systems. You'll work with a 20-person team in Palo Alto designing AI assistants for enterprise roles in a fast-paced environment.
What you'll do
- Design and implement backend systems using Python, JavaScript/TypeScript, and other languages
- Build and manage cloud infrastructure on AWS, GCP, or Azure with containerization and infrastructure-as-code
- Architect scalable databases using SQL and NoSQL solutions
- Establish monitoring, logging, and observability systems
- Implement CI/CD pipelines and DevOps automation
- Ensure network security and optimize system performance
What they're looking for
- Python, JavaScript/TypeScript programming
- Data structures and algorithms
- System design and architecture
- SQL and NoSQL databases
- AWS, GCP, or Azure cloud platforms
- Docker, containerization, and infrastructure-as-code
- Monitoring tools (Prometheus, Grafana, ELK, DataDog)
- Linux/Unix, networking, and security fundamentals
Benefits
- Competitive pay and benefits package
- Work with well-funded startup backed by strong founders
- Fast-paced environment with 20-person distributed team
- Opportunity to build AI-powered enterprise products
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Aida
Aida builds role-specific AI assistants for enterprise customers, leveraging cutting-edge language models and cloud infrastructure. The company is hiring backend, infrastructure, AI, and frontend engineers to develop scalable systems and user-facing features for its conversational AI platform.
View all jobs at AidaLikely interview questions
- Walk us through a moderately complex system design problem you've solved—how did you approach database selection, scaling, and trade-offs?
- Describe your experience setting up CI/CD pipelines and infrastructure-as-code. What tools have you used and what challenges did you encounter?