Senior Verification & Validation Engineer
Bengaluru, Karnataka, India
Company
OnTarget Communications
Job Description
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
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Lead end-to-end verification and validation activities across functional and non-functional testing.
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Design, develop, and maintain robust automation frameworks and test infrastructure.
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Validate cloud, hybrid, virtualized, and AI-enabled solutions.
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Build and optimize CI/CD-driven test automation pipelines.
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Drive performance, scalability, resilience, and security testing initiatives.
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Collaborate closely with engineering, product, architecture, and quality teams.
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Produce test evidence, quality reports, and release readiness assessments.
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Mentor junior engineers and champion quality engineering best practices.
Requirements
Qualifications
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Bachelor's degree in Computer Science, Engineering, or a related STEM field.
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8+ years of software engineering experience, including 5+ years in software testing, verification, validation, or quality engineering.
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Strong automation experience using tools such as Selenium, JMeter, LoadRunner, UFT/QTP, TestComplete, Cucumber, or similar.
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Programming expertise in Python, Java, C++, or C#.
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Experience building and maintaining automation frameworks and CI/CD pipelines.
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Strong understanding of Agile development, SDLC, software testing methodologies, and quality processes.
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Experience with Docker, Kubernetes, cloud platforms (Azure, AWS, or GCP), and Infrastructure-as-Code.
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Exposure to AI-assisted testing, intelligent test automation, or AI/ML solution validation. - Must Have
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Strong Linux/Windows scripting and troubleshooting skills.
Nice to Have
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Experience with Industrial Software, SCADA, MES, Historian, or OT environments.
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ISTQB, Kubernetes, Azure, AWS, VMware, or AI/ML certifications.
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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.