Summary

Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! They are highly cross-functional, and eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling it in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they’re familiar with our stack or not. As an early employee, you’ll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture.

Our ideal candidate possesses a deep knowledge of AWS, or an equivalent cloud provider and will assist in constructing the upcoming versions of our database infrastructure. They have been accountable for deploying production databases and have experience handling scale, concurrency, fault tolerance, and idempotency. They exhibit a strong sense of ownership, promptly addressing high-urgency issues, and they also mentor and foster the growth of every other team member.

What You’ll Do

1. Influence and implement the next generation of Ramp's database, real-time queue, or container orchestration infrastructure
2. Work across our engineering organization to introduce and scale best practices with cloud-native technologies like Cloudflare, Amazon ALB, Service Discovery, ECS/EKS, Celery, Kafka, Amazon Aurora PostgreSQL, Elasticache Redis, and S3
3. Build abstractions within Terraform to simplify the architecture and increase velocity and ownership
4. Find solutions to Ramp's toughest scaling, performance, and low latency problems
5. Participate in an On Call rotation to solve critical production events

What You Need

1. Minimum 4 years of experience shipping high-quality architectures for critical systems preferred
2. Production experience in AWS, GCP, or Azure
3. An ability to think through customer requirements and come up with high-impact ways to quickly solve their problems
4. Expertise in a production deployment of Infrastructure-as-Code i.e. Terraform
5. Proficiency in an object-oriented programing language
6. Deep experience in one of the following:
7. Large-scale SQL database administration (e.g. PostgreSQL, MySQL)
8. Real-time queue systems (e.g. Kafka, Celery, SQS, Temporal)
9. Container Orchestration/Web Server Administration (ECS/Kubernetes, Load Balancing, Gunicorn, Flask)

Skills

• AWS
• Database Management
• Development
• Problem Solving
• SQL