Junior QA Analyst (Security, Automation & AI-Driven Testing) at InstaSafe Technologies Private Limited

Bhubaneswar Municipal Corporation, Odisha, India -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Logical Reasoning, Programming Logic, GenAI Tools, Test Case Generation, Test Script Generation, Security Protocols, Vulnerability Detection, AI-Driven Scanners, Automation, Debugging, Performance Optimization, Zero Trust Security, ZTNA, IAM, SSO, MFA

Industry

Computer and Network Security

Description

About InstaSafe InstaSafe is a fast-growing B2B cybersecurity SaaS company focused on securing the future of work through Zero Trust security solutions. We help enterprises protect applications, users, and data across cloud and hybrid environments using technologies such as Zero Trust Network Access (ZTNA), Identity & Access Management (IAM), Single Sign-On (SSO), and Multi-Factor Authentication (MFA). Our culture is professional, growth-oriented, and accountability-driven. We operate as a lean, high-impact team that values clarity, collaboration, continuous learning, and customer trust at scale. Role Overview Are you a logical thinker with a passion for emerging technology? We are seeking fresh graduates from Mathematics and Computer Application backgrounds who are not just "tech-savvy" but "AI-curious." In this role, you will combine your analytical mathematical mind with AI tools to help us build the next generation of Zero Trust security. You will learn to use AI to write better test cases, find vulnerabilities faster, and automate the mundane, allowing you to focus on high-level security problem-solving. Duties & Responsibilities AI-Assisted Testing: Leverage AI tools (like ChatGPT, GitHub Copilot, or specialized LLMs) to brainstorm complex test scenarios and generate initial test scripts. Analytical Validation: Apply mathematical logic to verify that our security protocols are foolproof, ensuring no "edge case" is left unexamined. Security & Vulnerability Detection: Learn to identify system weaknesses and use AI-driven scanners to interpret security threats like SQL injection or unauthorized access. Smart Automation: Assist in building automated test suites, using AI to help debug code and optimize performance scripts. Continuous AI Learning: Proactively explore and suggest new AI tools that can improve the speed and quality of our QA processes. Requirements Qualifications & Skills: Education & Experience: Fresh Graduates (2023/2024/2025 batch) with a B.Sc. in Mathematics, Physics, Statistics, or a BCA. Core Technical Skills: Superior logical reasoning. Basic understanding of programming logic. High proficiency in using GenAI tools for research, learning, or basic coding tasks. AI Curious Mindset: You should be someone who has experimented with AI tools and is excited about how AI is changing the software world. Preferred / Good-to-Have: Participation in AI hackathons, a prompt engineering certificate, or a blog/project showcasing your use of AI. Benefits Career Value Proposition: At InstaSafe, your work as a Junior QA Analyst will have real, visible impact—helping enterprises securely operate in a Zero Trust world while enabling internal teams to move faster and smarter. You’ll gain deep exposure to modern cybersecurity architectures, collaborate with experienced product and engineering leaders, and grow alongside a rapidly scaling SaaS company. We offer a supportive, high-ownership culture with strong learning opportunities, competitive compensation, health insurance benefits for yourself and parents including OPD that covers routine medical requirements such as day-to-day doctor consultations, diagnostic tests, prescribed medicines, and similar outpatient treatments.—designed for professionals who value meaningful work, continuous growth, and accountability in building mission-critical security products.

Responsibilities

The role involves leveraging AI tools to assist in brainstorming complex test scenarios, generating initial test scripts, and applying mathematical logic to validate security protocols. Responsibilities also include learning to identify system weaknesses, using AI scanners for threat interpretation, and helping build automated test suites.