Senior Verification & Validation Engineer

• *Immediate Opening**

• *Location:** Bangalore, India

• *Model:** Onsite

• *Scope:** Contract (Ongoing \+ benefits)

• *Salary:** 20 LPA

• *Description:**

Are you passionate about breaking, testing, validating, and perfecting complex software systems? We're looking for a **Verification \& Validation Engineer** who thrives at the intersection of automation, cloud technologies, AI\-powered quality engineering, and enterprise\-scale software validation.

This is an opportunity to join an innovative team where you'll drive quality across the entire software development lifecycle, build advanced automation frameworks, validate cloud and AI\-enabled solutions, and influence the release readiness of mission\-critical products.

• *Responsibilities**

• Lead end\-to\-end verification and validation activities across functional and non\-functional testing.
• Design, develop, and maintain robust automation frameworks and test infrastructure.
• Validate cloud, hybrid, virtualized, and AI\-enabled solutions.
• Build and optimize CI/CD\-driven test automation pipelines.
• Drive performance, scalability, resilience, and security testing initiatives.
• Collaborate closely with engineering, product, architecture, and quality teams.
• Produce test evidence, quality reports, and release readiness assessments.
• Mentor junior engineers and champion quality engineering best practices.

• *Qualifications**

• Bachelor's degree in Computer Science, Engineering, or a related STEM field.
• 8\+ years of software engineering experience, including 5\+ years in software testing, verification, validation, or quality engineering.
• Strong automation experience using tools such as Selenium, JMeter, LoadRunner, UFT/QTP, TestComplete, Cucumber, or similar.
• Programming expertise in Python, Java, C\+\+, or C\#.
• Experience building and maintaining automation frameworks and CI/CD pipelines.
• Strong understanding of Agile development, SDLC, software testing methodologies, and quality processes.
• Experience with Docker, Kubernetes, cloud platforms (Azure, AWS, or GCP), and Infrastructure\-as\-Code.
• Exposure to AI\-assisted testing, intelligent test automation, or AI/ML solution validation. \- Must Have
• Strong Linux/Windows scripting and troubleshooting skills.

• *Nice to Have**

• Experience with Industrial Software, SCADA, MES, Historian, or OT environments.
• ISTQB, Kubernetes, Azure, AWS, VMware, or AI/ML certifications.
• Experience with observability, performance engineering, security testing, MLOps, or SRE practices.

• *Ready to take quality engineering to the next level? We'd love to hear from you.**