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.