Software Development Engineer in Test

About Us We are an early-stage AI startup focused on Site Reliability Engineering (SRE). Rather than being another observability platform, its goal is to act as an AI SRE teammate that works alongside SRE, DevOps, Platform Engineering, Cloud Operations, and IT Operations teams to investigate incidents, determine root causes, and automate remediation. Our team includes experienced entrepreneurs and engineers who have built multiple billion-dollar products from scratch. As a well-funded US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you’ll have a front-row seat to shape the future of AI-driven Observability solutions. Role Overview We are looking for a QA / Automation Engineer having 4-8 years of industry experience who operates at the intersection of reliability engineering and system-level QA. You will define how reliability is validated, not just monitored. This includes building automation systems that continuously test, break, and verify complex distributed systems in production-like environments. What You’ll Work On - Kubernetes-based distributed systems at scale - Observability and alerting pipelines - AI-assisted incident investigation systems - Multi-cloud (AWS, Azure, GCP) environments, Networking Deployments - Reliability validation, chaos testing, and failure injection systems - Infrastructure and deployment automation pipelines Key Responsibilities - Define and own the strategy for system-level validation - Design and build scalable automation frameworks for: - API, integration, and end-to-end testing - Kubernetes and system-level validation - Regression and reliability pipelines - Build systems that proactively detect failures before they reach production - Drive chaos engineering and failure injection practices - Establish CI/CD reliability gates with strong validation coverage - Partner with SRE, platform, and backend teams to ensure systems are both observable and test