Verification & Validation (V&V) Engineer

Technical Skills: Selenium, JMeter, LoadRunner, Silk Test, UFT/QTP, TestComplete, Watir, Cucumber or similar; Python, Java, C++ or C#; API/UI automation framework design and maintenance; SDLC, Agile/Lean/XP, CI/CD and software security testing; unit, integration, system, functional, regression, exploratory, performance, security, scalability, installability, migration, upgrade and acceptance testing; Bash/PowerShell; TCP/IP, DNS, routing, firewalls, proxies, load balancing and packet analysis; VMware; data-centre, virtualized, hybrid and cloud-hosted solutions. AI/Cloud Skills: AI coding assistants (GitHub Copilot, Claude, Cursor or equivalent); AI-driven test design, coverage analysis, predictive test selection, flaky-test detection, automated triage and regression optimization; self-healing automation, visual AI validation and agentic testing; AI/ML validation, evaluation harnesses, statistical acceptance criteria, model regression, RAG validation, hallucination detection, guardrails, prompt-injection and jailbreak testing, OWASP LLM security; Docker, Kubernetes, Terraform, Ansible, ARM/Bicep, CloudFormation; Jenkins, Azure DevOps, GitHub Actions, GitLab CI; Azure, AWS or Google Cloud; Prometheus, Grafana, ELK/OpenSearch, Datadog, Application Insights, OpenTelemetry; resilience, chaos, disaster recovery and cloud security. Responsibilities: Derive test conditions and maintain end-to-end traceability from requirements through execution, defects, evidence and closure; create test strategies, plans, protocols and automation frameworks; drive quality across the SDLC; build and maintain test infrastructure, cloud environments, CI/CD pipelines and quality metrics; validate AI-enabled products using approved tools and governance controls; perform performance, resilience, security, scalability, cloud, hybrid and edge validation; produce V&V reports and release-readiness assessments; support audits and mentor junior engineers. Preferred Qualifications 1. Experience with Proficy, Industrial Software, SCADA, MES, Historian, or other OT/Industrial platforms. 2. ISTQB Advanced Test Automation Engineer or Technical Test Analyst certification. 3. Azure, AWS, Kubernetes (CKA), VMware, AI/ML, or cloud-related certifications. 4. Experience with MLOps platforms, model registries, service virtualization, contract testing, security testing, accessibility validation, mobile automation, and SRE practices