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Securonix, a cybersecurity unicorn backed by Vista Equity Partners and a five-time Gartner Magic Quadrant Leader for SIEM, is seeking an experienced Staff Software Development Engineer in Test (SDET) to lead quality engineering across distributed data platforms, microservices, modern web applications, and agentic AI systems.
In this role, you will define and execute comprehensive test strategies across three major domains:
**Big Data, Backend, and Microservices Testing:** Design end-to-end test strategies for batch, streaming, and data-warehouse workloads using Spark, Kafka, Hadoop, Hive, HDFS, and Delta Lake. Automate data-quality validation using Python, PySpark, and Pytest. Validate ingestion, transformation, schema evolution, partitioning, reconciliation, completeness, accuracy, freshness, and business rules. Test distributed microservices, REST and GraphQL APIs, and event-driven architectures. Build API, integration, component, and consumer-driven contract tests using Postman/Newman, REST Assured, or equivalent frameworks. Validate authentication, authorization, backward compatibility, retries, timeouts, circuit breakers, data consistency, idempotency, failure recovery, and service resilience. Evaluate scalability, performance, and fault tolerance under production-like traffic and data volumes.
**Web and Browser Automation:** Design and maintain scalable test frameworks using Playwright and Cypress. Develop reliable end-to-end, API, integration, visual-regression, and accessibility test coverage. Leverage Playwright capabilities including browser isolation, fixtures, auto-waiting assertions, network interception, API testing, tracing, screenshots, parallel execution, and test sharding. Test dynamic, data-driven interfaces and validate consistency across browser, APIs, microservices, and data stores. Improve automation reliability through stable locators, deterministic test data, service virtualization, API mocking, and effective failure diagnostics.
**Agentic AI and LLM Testing:** Define evaluation strategies for LLM applications, RAG systems, AI copilots, tool-using agents, and multi-agent workflows. Build evaluation datasets from curated, production-derived, edge-case, and adversarial scenarios. Measure task completion, accuracy, groundedness, retrieval quality, instruction following, tool selection, structured outputs, state management, and workflow completion. Test AI systems for prompt injection, jailbreaks, sensitive-data leakage, hallucination, insecure output handling, excessive agency, and unsafe tool use. Validate guardrails, least-privilege access, sandboxing, rate limits, human approvals, and recovery from failed or unexpected actions. Implement trace-based evaluation and continuous quality gates for agent decisions, tool calls, latency, errors, token usage, and cost. Use Playwright to test browser-capable AI agents, including navigation, form interaction, permissions, approval checkpoints, and error recovery.
Securonix's Unified Defense SIEM provides organizations with AI-reinforced security operations on a cloud-native architecture leveraging Snowflake Data Cloud. The company serves over 1,000 customers worldwide, including 10% of the Fortune 100, with a network of 150+ partners and MSSPs.
**Requirements:**
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- 8+ years of experience in software quality engineering, test automation, or software development, including senior technical leadership
- Strong experience testing distributed data pipelines, microservices, APIs, or event-driven systems
- Hands-on experience with Spark, Kafka, Hadoop, Hive, or modern cloud-data platforms
- Advanced programming and automation skills in Python and JavaScript/TypeScript
- Strong browser-automation experience with Playwright or Cypress, including framework design, API testing, parallel execution, and CI integration
- Experience with API contracts, service virtualization, distributed workflows, authentication, and failure handling
- Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
- Working knowledge of Docker, Kubernetes, Linux, cloud environments, and production observability
- Strong communication, collaboration, mentoring, and problem-solving skills
