webAI™

Full-stack Engineer

• Design and implement advanced synchronization and networking systems for reliable AI operations across heterogeneous environments, from edge devices to cloud-isolated systems
• Architect data synchronization frameworks using content-addressable storage, Merkle trees, and CRDTs
• Lead performance tuning, debugging, and optimization of distributed software under resource-constrained and intermittent-connectivity conditions
• Apply security-first design through threat modeling, secure key management, and cryptographic primitives and protocols
• Collaborate with MLOps, Infrastructure, and Security teams to deploy and integrate AI components in restricted or air-gapped systems
• Contribute to cross-functional architectural design discussions and documentation for internal and external stakeholders
• Maintain rigorous testing, observability, and validation practices for system reliability and compliance readiness
• Work with distributed hash tables, content identifiers, gossip protocols, DAGs, overlay networks, and NAT traversal as applicable

Software Engineer, CRDT

DevOps Engineer

• Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
• Build and maintain Infrastructure as Code using Terraform, Pulumi, and Ansible with GitOps workflows and automated validation
• Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices
• Develop secure CI/CD pipelines with integrated security controls, including SAST, DAST, vulnerability scanning, and secrets management
• Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management
• Implement observability and monitoring frameworks using Prometheus, Grafana, ELK, or Datadog
• Enforce security best practices including IAM, encryption, network segmentation, and compliance automation
• Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
• Develop reusable infrastructure modules and documentation, including runbooks, architecture documents, and standards
• Mentor junior and mid-level engineers on DevOps best practices and infrastructure design
• Work closely with engineering teams to implement scalable, automated infrastructure solutions for AI workloads across cloud and edge environments

Software Engineer, CRDT

Junior DevOps Engineer