Software Engineer in Test
BengaluruOn-siteFull-time
AI Summary
Owns quality and reliability of zaimler's platform by designing and building end-to-end test infrastructure, performance benchmarks, and integration validation for real-time knowledge graph and data pipelines.
About this role
About zaimler
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.
The Role
We're looking for a Software Engineer in Test to own the quality and reliability of zaimler's platform from the ground up. Our infrastructure handles real-time knowledge graph construction, semantic inference, and data ingestion across complex enterprise environments, systems where correctness isn't optional and failures are expensive. You'll build the testing infrastructure, performance benchmarks, and integration validation that let us ship with confidence as we scale across production deployments.
This is not a QA role. You'll write more code than most software engineers, and the systems you build will be as critical as the platform itself.
What You'll Do
Must-haves:
Nice-to-haves:
Working style:
Compensation & Benefits
Skills
CI/CDDataDogDockerGatlingGitHub ActionsGrafanaGraph DatabasesGRPCInfrastructure As CodeJenkinsK6KubernetesLocustObservabilityPrometheusPythonREST API
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