Senior SDET: Data Connectors & High-Scale Ingestion

Veeam; San Jose (CA); On-site; USD 250,000 - 465,000; Full time

Benefits offered by this job

Unlimited PTO

12 paid holidays

Medical, dental, vision coverage

401(k) with company match

Job summary

Veeam is seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors and High-Scale Ingestion to design testing frameworks and benchmarking tools validating multi-source data pipelines handling petabyte-scale throughput across AWS, Azure and Kubernetes.

You will build scalable performance tests, automate fault-injection, and orchestrate large test clusters with Kubernetes to ensure zero-data-loss execution in real-world conditions.

Qualifications

• 8+ years of software engineering/SDET experience in C++, Java, Go, or Python.
• Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST).
• Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators).
• Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines).

Responsibilities

• 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.
• Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution.
• Utilize Kubernetes to dynamically orchestrate transient, high-concurrency test clusters and mock target endpoints at scale.

Skills

SDET experience

C++, Java, Go, Python

Streaming test design

API protocol testing

Tools

Locust

k6

Custom load engines

Job description

Veeam is seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors and High-Scale Ingestion to design testing frameworks and benchmarking tools validating multi-source data pipelines handling petabyte-scale throughput across AWS, Azure and Kubernetes.

You will build scalable performance tests, automate fault-injection, and orchestrate large test clusters with Kubernetes to ensure zero-data-loss execution in real-world conditions.