Lead Full Stack Developer (Blockchain, PQC)

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, Quantum Cryptography) , 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. 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. 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. 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.