Software Engineer in Test

Job description

**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 - Design and build end-to-end test infrastructure for zaimler's backend services, APIs, and data pipelines - Own performance and load testing: define benchmarks, build harnesses, and establish baselines for latency, throughput, and resource consumption under production-realistic conditions - Build and maintain integration test suites that validate correctness across the full stack, from data ingestion through knowledge graph construction to inference endpoints - Develop automated regression and smoke test pipelines integrated into CI/CD, ensuring every deploy is validated before it reaches enterprise customers - Identify reliability risks early by instrumenting systems, analyzing failure modes, and building chaos/fault-injection tests for critical paths - Collaborate directly with infrastructure and ML engineers to define testability requirements for new systems before they're built, not after ### Must-haves: - 3+ years of experience in software engineering, test engineering, or a related role - Strong software engineering fundamentals: you write production-grade code, not just test scripts - Deep experience with backend and API testing: REST/gRPC, async workflows, distributed systems - Hands-on experience building performance and load testing frameworks (e.g., Locust, k6, Gatling, or custom tooling) - Proficiency in Python; familiarity with Go or Java is a plus - Experience with CI/CD pipelines (GitHub Actions, Jenkins, or similar) and containerized environments (Docker, Kubernetes) - Understanding of data pipeline testing, validating correctness, consistency, and completeness across ETL or streaming systems ### Nice-to-haves: - Experience testing graph databases, knowledge graphs, or semantic/ML inference systems - Familiarity with observability tooling (Prometheus, Grafana, Datadog) and using metrics to drive test strategy - Background in infrastructure-as-code and environment provisioning for test environments - Experience at a startup or early-stage company where you built testing practices from scratch ### Working style: - You care about quality as a property of the system, not a phase in the process - You're comfortable defining what "good" looks like when there's no existing playbook - You'd rather automate yourself out of repetitive work than do it twice ### Compensation & Benefits - Competitive salary benchmarked to the Bengaluru market - Meaningful early-stage equity - Health insurance - Flexible PTO - On-site in Bengaluru