Software Verification Engineer

Responsibilities

• Own the end-to-end verification of product features, including requirements analysis, risk assessment, test planning, system-level validation, automated test development, execution, and release readiness.
• Build and maintain Python-based test infrastructure, CI pipelines, and regression suites, continuously improving coverage, reliability, execution time, and the quality of engineering feedback.
• Develop deep domain expertise in networking, telemetry, and distributed systems, and use it to investigate complex failures across the product, test automation, and lab environment.
• Design and build agentic verification workflows that analyze product and code changes, plan test coverage, select or generate tests, execute them, observe results, and perform controlled diagnosis and correction loops.
• Turn expert verification practices into repeatable and measurable workflows, integrating agents with source control, requirements, CI/CD, issue tracking, lab orchestration, and observability systems while defining test oracles, guardrails, human approval points, evaluation, and tracing.
• What we need to see
• B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 3+ years of software engineering experience, with significant hands-on work in test automation, system verification, test infrastructure, or related areas.
• Deep, production-grade Python expertise, including type-safe data modeling, clear APIs and tool contracts, automated testing, static analysis, performance-aware implementation, and mechanisms for validating and monitoring AI-generated code.
• Experience testing complex product features and building production-quality automation, CI pipelines, and regression environments, together with strong debugging skills and knowledge of Linux, Git, APIs, containers, and modern software engineering practices.

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