Job highlights

- Experience validating AI / ML systems,including evaluation harnesses,statistical acceptance criteria,model regression testing,RAG validation,hallucination detection,guardrail verification,prompt injection,jailbreak testing,and OWASP LLM security practices
- ISTQB Advanced Test Automation Engineer or Technical Test Analyst certification
- Experience: 8-10+ years . About BinQle

Position Name:Verification Validation (VV) Engineer

Location: Bangalore

Experience: 8-10+ years

About BinQle

BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.

Role Summary

Lead and execute quality engineering, test automation, and validation activities across AI-enabled, cloud, and hybrid solutions. Ensure compliance in regulated environments and drive testing best practices across functional and non-functional domains.

What Youll Do

- Derive test conditions from requirements and maintain end-to-end traceability
- Create and execute test strategies, plans, protocols, automation frameworks, and comprehensive VV activities
- Drive quality throughout the SDLC in collaboration with development, product, architecture, and quality teams
- Build and maintain automation frameworks, test infrastructure, cloud environments, CI/CD pipelines, and quality metrics
- Validate AI-enabled products and services using approved tooling, evaluation frameworks, security testing, and governance controls
- Perform performance, resilience, security, scalability, cloud, hybrid, and edge deployment validation
- Produce objective evidence, VV reports, release readiness assessments, and support audits and reviews
- Mentor junior engineers and contribute to quality engineering best practices and standards

What We re Looking For (Must-Haves):




- Solid automation engineering expertise with tools such as Selenium, JMeter, LoadRunner, Silk Test, UFT/QTP, TestComplete, Watir, Cucumber, or similar
- Hands-on programming experience with Python, Java, C++, or C#; experience developing API/UI automation frameworks
- Expertise in automation framework design, maintenance, extension, migration, and optimization
- Experience with SDLC, Agile/Lean/XP methodologies, CI/CD, software security, testing techniques, data structures, and algorithms
- Experience in unit, integration, system, functional, regression, exploratory, non-functional, performance, security, scalability, installability, migration, upgrade, and acceptance testing
- Scripting in Linux/Windows (Bash, PowerShell), networking fundamentals, and VMware administration-level expertise
- Experience validating Data Center, virtualized, hybrid, and cloud-hosted solutions
- Practical use of AI coding assistants (eg, GitHub Copilot, Claude, Cursor) for automation framework development
- Ability to generate deterministic, traceable, and verifiable test cases from requirements using AI
- Experience with AI-driven test design, coverage analysis, predictive test selection, flaky-test detection, automated triage, failure clustering, and regression optimization
- Knowledge of AI-enabled testing platforms, self-healing automation, visual AI validation, agentic testing, and associated risks
- Experience validating AI/ML systems, including evaluation harnesses, statistical acceptance criteria, model regression testing, RAG validation, hallucination detection,



guardrail verification, prompt injection, jailbreak testing, and OWASP LLM security practices
- Understanding of AI governance, evidential integrity, data privacy, tool validation requirements, and responsible use of AI in regulated environments
- Experience containerizing test solutions with Docker and orchestrating execution on Kubernetes
- Infrastructure-as-Code and Environment-as-Code experience using Terraform, Ansible, ARM/Bicep, or CloudFormation
- CI/CD implementation using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI
- Experience building ephemeral test environments, distributed test execution, and cloud-based test labs
- Strong knowledge of Azure, AWS, or Google Cloud services
- Experience with observability platforms (eg, Prometheus, Grafana, ELK/OpenSearch, Datadog, Application Insights, OpenTelemetry)
- Expertise in performance engineering, resilience testing, chaos engineering, disaster recovery validation, cloud security testing, secrets management, and hybrid/cloud deployment validation

Good to Have (Optional - only if mentioned):
- Experience with Proficy, Industrial Software, SCADA, MES, Historian, or other OT/Industrial platforms
- ISTQB Advanced Test Automation Engineer or Technical Test Analyst certification
- Azure, AWS, Kubernetes (CKA), VMware, AI/ML, or cloud-related certifications
- Experience with MLOps platforms, model registries, service virtualization, contract testing, security testing, accessibility validation, mobile automation, and SRE practices

Qualifications: Bachelors degree in Computer Science, Engineering, or other STEM discipline

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Verification & Validation (V&V) Engineer (Bengaluru)
🏢 Proffer IT Consultancy
📍 Bengaluru