Sr. Engineer - Cloud SDET - Lightning (Hybrid)

About the role

The Sr. SDET will build and own Lightning-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing infrastructure. This critical role owns end-to-end validation across both cloud-side services and Falcon Sensor interactions (e.g., validating interactions between cloud services and lightweight endpoint agents) — ensuring the system behaves correctly at every stage, from individual components to full system behavior.

Responsibilities

• Own end-to-end validation of Lightning services across cloud-side and Falcon Sensor interactions, spanning component, integration, and application levels, while continuously improving test and validation processes
• Build and own Lightning-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing tools and infrastructure
• Define and drive testing strategies across functional, performance, contract, and chaos testing concerns
• Participate in technical design reviews and provide clear guidance on testability, quality, and code hygiene
• Participate in code reviews with a focus on quality, serving as the team's SME for code hygiene
• Contribute to service operations, including improving overall service observability and monitoring, root cause analysis of production issues, and implementing quality improvements to prevent future outages

Requirements

• 8+ years of experience (Avg. YoE: 11-16 years) as an SDET or Backend Developer (combined)
• Experience building testing frameworks and tooling for a Cloud SaaS product or other SOA with similar cloud components
• Experience contributing to or defining testing strategy at a team or organizational level
• Strong debugging skills: ability to spot design flaws, race conditions, and performance bottlenecks in complex architectures
• 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
• Experience with distributed systems and scalability challenges
• Experience with cloud services, such as AWS or GCP, particularly compute and storage offerings
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• Experience with CI/CD pipelines and integrating automated testing into deployment workflows
• Experience developing and deploying in containerized environments (e.g., Docker, Kubernetes)
• Experience mentoring engineers and driving quality culture across a team or organization

Bonus points

• Experience building, operating, validating, and scaling low-latency cloud services using gRPC and event-driven messaging systems such as Kafka
• Experience building and shipping cloud-connected endpoint software
• Experience with at least one cloud environment, such as AWS, GCP, or OCI
• Experience leveraging AI and agentic tools to enhance testing workflows and automation