Job Overview
| Particulars | Details |
|---|---|
| Position | Senior QA Engineer |
| Company | ZIVENTRA AI Ventures Pvt. Ltd. |
| Job Type | Remote |
| Experience | 5 - 6 years |
| Category / Department | QA |
| Application Mode |
🏢 About ZIVENTRA AI Ventures Pvt. Ltd.
Company Overview
ZIVENTRA AI Ventures Pvt. Ltd. is an AI-first consulting and staff augmentation company built by experienced operators who understand enterprise delivery from the ground up. The company helps global businesses design, build, and scale production-ready AI systems, enterprise platforms, and engineering teams.
Company Mission
To empower organizations by delivering production-ready AI solutions, enterprise platforms, and highly skilled engineering talent that drive measurable business outcomes.
Company Vision
To become a trusted global AI and technology partner, enabling enterprises to accelerate innovation through intelligent solutions and delivery excellence.
Core Values
• Innovation
• Ownership
• Accountability
• Collaboration
• Excellence
• Integrity
• Customer Success
What Makes Them Different
• AI-first consulting and engineering approach.
• Focus on production-ready AI solutions instead of experimental projects.
• Intelligent AI-powered talent matching with expert human validation.
• Enterprise-grade delivery backed by experienced operators.
• Expertise across AI, enterprise platforms, and staff augmentation.
Leadership / Company Philosophy
Built by operators, designed for delivery—ZIVENTRA combines human expertise with AI-driven innovation to help enterprises build scalable, secure, and future-ready technology solutions.
📍 ZIVENTRA AI Ventures Pvt. Ltd.
401, Airen Heights, Vijay Nagar,
Indore, Madhya Pradesh – 452010, India
💡 Editor's Note / Preparation Tip
📝 Resume Preparation Tips
• Highlight end-to-end QA ownership and major testing projects.
• Include AI/ML application testing experience if available.
• Showcase defect management, regression testing, and release validation expertise.
• Mention testing tools, methodologies, and Agile experience.
• Quantify quality improvements and project outcomes wherever possible.
🎯 Interview Preparation
• Review manual testing fundamentals and SDLC/STLC concepts.
• Prepare examples of challenging defects you've identified and resolved.
• Understand AI application testing challenges and validation techniques.
• Be ready to discuss test planning, execution strategies, and release readiness.
• Demonstrate communication, ownership, and stakeholder collaboration skills.
🚀 Professional Tips
• Learn AI testing methodologies and prompt validation concepts.
• Strengthen exploratory and risk-based testing techniques.
• Stay updated on emerging QA automation and AI-assisted testing tools.
• Develop strong product thinking alongside testing expertise.
• Focus on delivering quality from the user's perspective.
📝 Job Description
🚀 Hiring | Senior QA Engineer
Are you an experienced Senior QA Engineer with expertise in Manual Testing and exposure to AI-based products? 🧪🤖 ZIVENTRA AI Ventures Pvt. Ltd. is looking for a quality-driven professional to join its growing AI-first engineering team. If you're passionate about ensuring product excellence, validating AI-powered applications, and taking end-to-end ownership of quality, this fully remote opportunity is for you.
━━━━━━━━━━━━━━━━━━ Position Details ━━━━━━━━━━━━━━━━━━
📌 Position: Senior QA Engineer (Manual Testing)
📍 Location: Remote
🏢 Work Mode: Remote
💼 Experience: 5–6 Years
🎓 Qualification: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field (Preferred)
📋 Employment Type: Full-Time
🤖 Domain Exposure: AI-Based Products
⚡ Joining Preference: Immediate to Short Notice Preferred
━━━━━━━━━━━━━━━━━━ Preferred Skills ━━━━━━━━━━━━━━━━━━
✔ AI Product Testing Experience
✔ End-to-End QA Ownership
✔ Release Readiness Validation
✔ Agile/Scrum Methodology
✔ Test Documentation
✔ Root Cause Analysis
✔ Analytical & Problem-Solving Skills
✔ Cross-Functional Team Collaboration
━━━━━━━━━━━━━━━━━━ Candidate Requirements ━━━━━━━━━━━━━━━━━━
• 5–6 years of professional experience in Manual QA.
• Experience testing AI/ML-based or AI-enabled products is preferred.
• Strong expertise in manual testing methodologies and best practices.
• Experience in test planning, execution, and defect lifecycle management.
• Excellent communication and stakeholder management skills.
• Ability to work independently in a remote environment.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Ownership mindset with attention to detail and quality.
━━━━━━━━━━━━━━━━━━ Why Join ZIVENTRA AI Ventures? ━━━━━━━━━━━━━━━━━━
⭐ Work remotely with a globally focused AI-first company.
⭐ Build and validate next-generation AI-powered enterprise solutions.
⭐ Collaborate with experienced engineering and product teams.
⭐ Opportunity to work on production-ready AI systems.
⭐ Ownership-driven engineering culture with high impact.
⭐ Exposure to modern AI technologies and enterprise platforms.
⭐ Continuous learning and career growth opportunities.
⭐ Be part of an innovative organization focused on execution and delivery.
━━━━━━━━━━━━━━━━━━ How to Apply ━━━━━━━━━━━━━━━━━━
📩 Interested candidates can apply through:
📧 careers@ziventra.com
💡 Important: Please share your updated resume along with your Aadhaar Card and LinkedIn profile link, as mentioned in the hiring post.
💡 Know someone who would be a great fit? Tag them or share this opportunity with your network!
🎯 Key Responsibilities
- ✓ Take complete ownership of end-to-end product quality.
- ✓ Perform comprehensive manual testing across multiple applications.
- ✓ Validate AI-driven features, workflows, and business logic.
- ✓ Prepare, execute, and maintain test plans and test cases.
- ✓ Identify, document, and track software defects through resolution.
- ✓ Collaborate with Product, Engineering, and stakeholder teams.
- ✓ Ensure release readiness with thorough quality validation.
- ✓ Support continuous product improvement through quality feedback.
- ✓ Maintain testing documentation and quality standards.
- ✓ Drive defect-free software delivery across AI-based products.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Senior QA Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
❓ Is this a remote role?
➡ Yes, this position is fully remote.
❓ What experience is required?
➡ Candidates should have 5–6 years of Manual QA experience.
❓ Is AI product testing experience mandatory?
➡ Experience with AI-based products is highly preferred.
❓ What testing methodology is required?
➡ Strong expertise in Manual Testing, test planning, execution, and release validation.
❓ What type of products will I work on?
➡ AI-powered enterprise applications and modern technology platforms.
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