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Veeam

Staff Software Development Engineer in Test (Connectors)

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Description

  • We are seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors & High-Scale Ingestion
  • In this role, you will be the technical authority responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes
  • 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

Benefits

  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Unlimited paid time off, plus 3 global VeeaMe Days for self-care
  • Medical, dental, and vision coverage from day one
  • 401(k) retirement plan with matching contributions up to annual limits
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
  • Legal services, identity protection, and supplemental health insurance options
  • AirVet: 24/7 virtual veterinary care at no cost
  • Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • 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)
  • Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)

Skills

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