Staff Software Development Engineer in Test (Connectors)
Veeam
- San Jose, United States
- Lead/Staff
- 8+ years
- Posted
Skills
Required
- Kafka
- Event Hubs
- gRPC
- REST
- C++ / Java / Go / Python
- Implement automated fault-injection pipelines
- network partitions
- rate limits
- authentication
- guarantee zero-data-loss execution
- streaming architectures
- queueing systems
- API protocols
- WebSockets
Preferred
- AWS
- Azure
- Kubernetes
- Helm / custom controllers / K8s operators
- Build automation suites
- Hubs
- backpressure
- RabbitMQ
- S3
Join our team as a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors & High-Scale Ingestion. In this role, you will be responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes. You will also build automation suites to test real-world connector data flows under degraded network conditions and extreme concurrency.
Responsibilities
- This position offers unlimited paid time off, paid parental leave, medical, dental, and vision coverage from day one, and many other benefits.
- Design and execute scalable performance, backpressure, and stress-testing harnesses for ingestion connectors (REST, gRPC, CDC, Kafka, RabbitMQ).
- Build automation suites across AWS (S3, SQS, Kinesis, EKS) and Azure (Event Hubs, Blob, AKS) to test real-world connector data flows under degraded network conditions and extreme concurrency.
Requirements
- Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution.
- Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST)
- 8+ years of software engineering/SDET experience in C++, Java, Go, or Python
- Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines)
Preferred
- Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)
Pay
USD 250,400 - 465,100
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