Staff Software Engineer – Observability
| Company | Ramp |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA, Remote in Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Minimum 4 years of experience shipping high-quality architectures for critical systems preferred
- Experience implementing modern observability solutions using industry tools (like Datadog, Prometheus, Grafana) and/or architecting custom in-house observability systems spanning metrics, logs, and distributed tracing with demonstrated success in complex, high-throughput environments
- 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: Real-time queue systems (e.g. Kafka, Celery, SQS, Temporal) or Container Orchestration/Web Server Administration (ECS/Kubernetes, Load Balancing, Gunicorn, Flask)
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
Preferred Qualifications
- Minimum 4 years of experience shipping high-quality architectures for critical systems preferred