Lead Full Stack Developer (Blockchain) - SimuPhish

🚀 About SimuPhish 

SimuPhish is an AI-driven Human Risk Management and Phishing Simulation platform built to help organizations strengthen their human firewall through realistic simulations, gamified awareness, and data-driven insights. We empower employees to become the strongest defense against cyber threats. 

💡 Role Overview 

We are looking for a Lead Full Stack Developer (Blockchain), you will architect and build next-generation sovereign software systems. You will combine advanced full-stack engineering with post-quantum cryptography (PQC) and AI integration to deliver high-security communication and data sharing capabilities across company’s global ecosystem. 

Job type: Remote | Full-time (In the future relocation may be required)

Working hours: Pacific Standard Time (PST) Zone. 

🧩 Key Responsibilities 

• Architecture & Development: Lead the development of secure web and mobile applications using React, Node.js, and Go. 
• PQC Integration: Implement PQC handshake APIs (including Kyber and Dilithium) across all data and communication layers to ensure quantum-resistant security. 
• AI-Enhanced Security: Integrate AI-based modules for automated threat scoring, anomaly detection, and data classification. 
• Hardware Interfacing: Collaborate with engineering teams to ensure seamless security across hardware endpoints, including USB Keys and Portable SSDs. 
• Blockchain Infrastructure: Extend blockchain logging to support AI-driven audit trails and trust scoring. 

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• Sovereign Platform Management: Ensure all software aligns with sovereign-grade security standards and global government requirements. 

✅ Essential Skills & Technical Expertise:  

Core Programming Languages & Frameworks 

• Go (Golang): Required for backend development and high-performance system components. 
• Node.js: Essential for server-side application logic and scalable backend services. 
• React & React Native: Used for developing secure, responsive web and mobile application frontends. 
• C/C++: Recommended for low-level integration with hardware, such as USB keys and portable SSDs. 

AI & Machine Learning Integration 

• ML Frameworks: Deep experience with TensorFlow, PyTorch, ONNX, or OpenVINO for deploying AI modules. 
• AI Implementation: Ability to integrate intelligence for threat scoring, anomaly detection, and data classification. 
• Inference Pipelines: Proven experience building and deploying ML models for production using REST or gRPC pipelines. 

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Security & Cryptography Tools 

• FIPS Validated Libraries: Experience working with CorSSL (a FIPS 140-3 Level 1 validated drop-in replacement for OpenSSL) or similar validated cryptographic modules. 
• PQC Algorithms: Practical implementation of Post-Quantum Cryptography (PQC) handshakes, specifically using algorithms like Kyber and Dilithium. 
• Standards & Protocols: Advanced knowledge of TLS 1.3, PKI (Public Key Infrastructure), and secure authentication mechanisms. 
• Blockchain: Development experience with blockchain for AI-driven audit trails and trust scoring systems. 

Government Compliance & Testing Tools 

• FIPS 140-3 Validation: Understanding of the CMVP (Cryptographic Module Validation Program) submission process and requirements. 
• Algorithm Testing: Experience with CAVP (Cryptographic Algorithm Validation Program) testing for NIST-approved and PQC algorithms. 
• Certification Standards: Familiarity with international and federal standards including Common Criteria (CC), CSfC, and DoD STIGS/APL requirements. 

Infrastructure & Monitoring 

• Telemetry Dashboards: Ability to build real-time data visualization tools for AI analytics and classification telemetry. 

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• Sovereign Platform Architecture: Experience designing architectures that span Admin Consoles, Desktop Apps, and Mobile Apps while maintaining security across hardware interfaces. 

✅ Qualifications 

• Experience: 8+ years of full-stack development experience, with a focus on security-centric or data-driven systems. 
• Technical Stack: Expert proficiency in Go (Golang), Node.js, and React/React Native. 
• Security & Crypto: Deep understanding of TLS 1.3, PKI, and secure authentication. Familiarity with PQC algorithms is highly preferred. 
• AI/ML Integration: Experience deploying machine learning models (e.g., TensorFlow, PyTorch) into production environments via REST/gRPC pipelines. 
• Compliance Awareness: Knowledge of government security standards such as FIPS 140-3. 

🌟 Why Join Us 

• Work with a global cybersecurity brand making a real impact. 
• Remote flexibility with a collaborative and innovative team culture. 
• Opportunity to experiment, innovate, and grow with creative freedom. 
• Inclusive, supportive environment that values ideas and individuality.