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# Engineer - Cloud SDET

- **Company:** CrowdStrike
- **Location:** United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, C++ (Programming Language), Software as a Service, Cloud Computing, Software Debugging, Distributed Systems, Python (Programming Language), Redis, Cloud Services, Service-Oriented Architecture, Systems Integration, Rust (Programming Language), Delivery Pipeline, Backend, Kotlin, Containerization, Kubernetes, Cassandra, Apache Kafka, Oracle Cloud Infrastructure, Docker, SDET, Golang
- **Published:** October 2, 2026
- **Apply:** https://jobs.military.com/career/353813/sr-engineer-cloud-sdet-lightning-hybrid-california-ca-redmond

## About the Role

* 9+ years of experience (Avg. YoE: 11-16 years) as either/both an SDET or Backend Developer (combined)\n
 * Experience building testing frameworks and tooling for a Cloud SaaS product or other SOA with similar cloud components\n
 * Experience contributing to or defining testing strategy at a team or organizational level\n
 * Strong debugging skills: ability to spot design flaws, race conditions, and performance bottlenecks in complex architectures\n
 * Expertise in any of: Golang, Python, Java, Kotlin, Rust, or C/C++ - Go is our primary language, but strong engineers in any of these are welcome and we support ramp-up\n
 * Experience in a cloud distributed systems stack: e.g. Kubernetes, Cassandra, Redis, Kafka, and/or similar technologies - you don't need all of these specifically, but transferable skills in each category are a must\n
 * Experience with distributed systems and scalability challenges\n
 * Experience with cloud services, such as AWS or GCP, particularly compute and storage offerings\n
 * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n
 * Experience with CI/CD pipelines and integrating automated testing into deployment workflows\n
 * Experience developing and deploying in containerized environments (e.g., Docker, Kubernetes)\n
 * Experience mentoring engineers and driving quality culture across a team or organization\n, * Experience building, operating, validating, and scaling low-latency cloud services using gRPC and event-driven messaging systems such as Kafka\n
 * Experience building and shipping cloud-connected endpoint software\n
 * Experience with at least one cloud environment, such as AWS, GCP, or OCI\n
 * Experience leveraging AI and agentic tools to enhance testing workflows and automation\n