Key skills
AWSInfrastructure-as-CodeLarge-scale SQL databasesObject-oriented programmingReal-time queue systemsContainer orchestrationMentoringProblem-solvingSQLAIKafkaFlaskAzureGCPTerraformKubernetesECSEKSS3SQSPostgreSQLMySQLRedisCloudflareLoad Balancing
About this role
Ramp is a financial operations platform that aims to innovate how finance teams operate using AI. The role involves building and scaling the database infrastructure, implementing cloud-native technologies, and solving complex engineering challenges.
Responsibilities:
- Influence and implement the next generation of Ramp's database, real-time queue, or container orchestration infrastructure
- 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
- Build abstractions within Terraform to simplify the architecture and increase velocity and ownership
- Find solutions to Ramp's toughest scaling, performance, and low latency problems
- Participate in an On Call rotation to solve critical production events
Requirements:
- 2+ of experience shipping high-quality architectures for critical systems preferred
- Production experience in AWS, GCP, or Azure
- An ability to think through customer requirements and come up with high-impact ways to quickly solve their problems
- Expertise in a production deployment of Infrastructure-as-Code i.e. Terraform
- Proficiency in an object-oriented programing language
- Deep experience in one of the following: Large-scale SQL database administration (e.g. PostgreSQL, MySQL), Real-time queue systems (e.g. Kafka, Celery, SQS, Temporal), Container Orchestration/Web Server Administration (ECS/Kubernetes, Load Balancing, Gunicorn, Flask)