Bulwarkers

Experience Level: 2+ years About Us: Bulwarkers specializes in providing comprehensive cybersecurity solutions, offering expertise in Vulnerability Assessments and Penetration Testing, and strategic security measures. Role Overview: We’re looking for a motivated Full Stack Developer with hands-on experience in React, Node.js, and database systems. You’ll work closely with our product and design teams to build and maintain web applications that deliver seamless user experiences. Key Responsibilities: Develop and maintain scalable web applications using React and Node.js Design, implement, and optimize database structures (SQL/NoSQL) Collaborate with cross-functional teams to define, design, and ship new features Write clean, efficient, and maintainable code Debug, troubleshoot, and improve application performance Stay up to date with industry trends and emerging technologies Qualifications: Master degree in Computer Science, Engineering, or related field (or equivalent experience) 2+ years of professional experience as a Full Stack Developer Strong proficiency in React and Node.js Experience with databases such as MySQL, PostgreSQL, or MongoDB Familiarity with RESTful APIs and version control (Git) Strong problem-solving skills and a collaborative mindset Nice to Have: Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of TypeScript Familiarity with CI/CD pipelines What We Offer: Competitive salary and benefits package Flexible working hours and hybrid work culture Opportunities for professional growth and learning A collaborative and innovative team environment How to Apply: If you’re passionate about full-stack development and want to be part of an innovative team, apply now through LinkedIn or send your resume to career@bulwarkers.com .

Position: AI Security Research Intern Location: Remote/Hybrid Duration: 3–6 Months Department: AI Security & Research Reporting To: Lead – AI Security Engineering Stipend: INR 12000/Month About Us: Bulwarkers specializes in providing comprehensive cybersecurity solutions, offering expertise in Vulnerability Assessments and Penetration Testing, and strategic security measures. Role Overview: We are looking for a highly motivated AI Security Research Intern to join our AI Security Engineering team. The intern will work on researching security aspects of AI and Machine Learning services across major cloud platforms. This role offers hands-on exposure to real-world AI services, cloud platforms, security assessment techniques, and threat modeling—contributing directly to the development of our AI Security Posture Management (AI-SPM) framework. Key Responsibilities: 1. Cloud AI Services Research Explore and document AI/ML services across Azure, AWS, Google Cloud, and other major cloud providers . Identify active and inactive AI services within cloud environments and collect deployment details (resource ID, instance type, metadata, guardrails, and related configurations). 2. Technical Deep-Dive Analysis Perform end-to-end analysis of each AI service to understand: Service purpose and architecture Supported models (e.g., GPT-3.5, GPT-4, custom models, vision models) Input/Output behavior Security features, guardrails, and content-safety modules 3. API & SDK Enumeration Identify available APIs, endpoints, parameters, and response patterns for each AI service. Explore official SDKs (Python, Node.js, Go, etc.) and understand authentication mechanisms. 4. Metadata & Configuration Analysis Extract and analyze metadata for AI services, including: Model versions Deployment region Network configuration Access control settings Logging and monitoring settings 5. Misconfiguration Detection Evaluate AI service configurations to detect: Access control weaknesses Unrestricted endpoint exposure Lack of content-safety controls Improper network/firewall settings Weak authentication mechanisms Document findings with clear pass/fail criteria. 6. Security Control Development Convert metadata analysis into testable security controls for AI security evaluation. Create baseline security benchmarks for AI services across cloud providers. 7. Threat Modeling Conduct threat modeling for AI systems , focusing on: Model misuse and prompt-based attacks Data poisoning risks Model inversion Unauthorized access Abuse of deployed AI endpoints Propose mitigations based on recognized AI threat frameworks. 8. Hands-On Research & Prototyping Build minimal PoCs to test API behaviors, content-safety features, and service guardrails. Validate security findings using SDKs, scripts, Postman, and cloud CLI tools. Qualifications: Technical Skills Basic understanding of cloud platforms (Azure/AWS/GCP). Good programming knowledge in Python or Node.js . Familiarity with REST APIs and SDK usage. Understanding of AI/ML concepts (models, training, inference). Knowledge of authentication (OAuth2.0, API Keys, IAM roles) is a plus. Security Skills (Preferred) Understanding of cloud security fundamentals. Familiarity with security misconfigurations and risk assessment. Basic knowledge of AI security concepts (prompt injection, data leakage, etc.) is preferred but not mandatory. Soft Skills Strong analytical and problem-solving ability. Good research and documentation skills. Ability to work independently and meet research deadlines. What You Will Learn: Deep understanding of AI security across cloud ecosystems. Hands-on experience with Azure OpenAI, AWS Bedrock, GCP Gemini, and other AI services. Real-world exposure to AI misconfigurations and threat modeling. Building security controls, benchmarks, and testable validations for AI services. Developing automation scripts for cloud and AI security checks. Ideal Candidate: This role is ideal for students or early-career professionals passionate about AI, security, and cloud technologies , and who want to build a career in the emerging field of AI Security and AI Governance . How to Apply:  If you’re passionate about this role and want to be part of an innovative team, apply now through LinkedIn or send your resume to career@bulwarkers.com .