Senior Blockchain System Architect

Blockchain & Distributed Systems:

• Production Experience: Designing and implementing blockchain systems using frameworks like Cosmos SDK, Ethereum, or similar

• Consensus Protocols: Deep understanding of Byzantine Fault Tolerance, Tendermint, or equivalent consensus mechanisms

• Smart Contracts: Experience architecting and deploying smart contract systems and blockchain transaction flows

• Cryptography: Knowledge of digital signatures, public key infrastructure, and blockchain security protocols

• Distributed Architecture: Proven experience with distributed systems, eventual consistency, and fault tolerance patterns

AI/ML Infrastructure:

• Model Deployment: Production experience deploying, scaling, and managing AI/ML models in containerized environments

• Model Serving: Experience with inference serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime, or similar)

• Container Orchestration for AI: Expert-level experience running AI workloads on Kubernetes including GPU scheduling and resource management

• Model Lifecycle Management: Experience with model versioning, A/B testing, rollback strategies, and monitoring model performance

• AI Resource Management: Knowledge of GPU/TPU allocation, memory optimization, and compute resource scheduling for AI workloads

• Data Pipeline Architecture: Experience designing ETL/ELT pipelines, data lakes, and storage systems for AI training and inference

Cloud & Infrastructure:

• Container Orchestration: Expert-level Kubernetes experience including multi-cluster and hybrid cloud deployments

• Cloud Platforms: Production experience with AWS, GCP, or Azure including networking, compute, and storage services

• Infrastructure as Code: Proficiency with Terraform, Helm, or similar infrastructure automation tools

• Networking: Deep understanding of container networking, service meshes, ingress controllers, and cloud networking

• Security: Experience implementing authentication systems, identity management, and secure communication protocols

Software Engineering:

• Programming Languages: Strong proficiency in Go for blockchain and infrastructure development

• Secondary Languages: Working knowledge of Python, JavaScript/TypeScript for service integration and tooling

• API Design: Experience designing RESTful APIs, GraphQL, and inter-service communication protocols

• Database Systems: Knowledge of both SQL and NoSQL databases, distributed data storage patterns

• DevOps: Experience with CI/CD pipelines, automated testing, and deployment automation

Soft Skills:

• Ability to work in a fast-paced environment

• Strong communication and stakeholder alignment skills

• Ability to explain complex architectural concepts clearly

• Open to feedback, collaborative, proactive

Architecture & Technical Leadership:

• Design and evolve system architecture for blockchain-based AI infrastructure platform

• Define integration patterns between blockchain protocols and AI execution environments

• Establish architectural standards, patterns, and best practices across development teams

• Lead technical decision-making for complex distributed systems challenges

• Collaborate with development teams to ensure architectural vision is properly implemented

Blockchain & Distributed Systems:

• Architect blockchain-based smart contract systems and transaction processing workflows

• Design consensus mechanisms, state management, and cross-chain communication protocols

• Implement cryptographic authentication and authorization systems

• Develop blockchain integration patterns for external systems and APIs

• Ensure security, scalability, and performance of distributed blockchain networks

AI/ML Infrastructure & Orchestration:

• Design containerized AI model deployment and execution architectures

• Architect AI model registry, versioning, and distribution systems

• Implement resource management and auto-scaling for AI workloads

• Design inference serving architectures for high-throughput AI model execution

• Establish AI model security, access control, and usage monitoring systems

• Architect data pipelines and storage systems for AI training and inference

Cloud Infrastructure & Orchestration:

• Design multi-cloud and hybrid cloud architecture for distributed AI workloads

• Architect container orchestration and microservices deployment strategies

• Implement auto-scaling, load balancing, and resource management systems

• Design network topology, security policies, and inter-service communication

• Establish monitoring, logging, and observability across distributed infrastructure

Team Leadership & Coordination:

• Lead technical team of 5+ developers across blockchain, infrastructure, and application domains

• Coordinate architecture decisions across multiple technology stacks and development streams

• Mentor team members on system design principles and architectural best practices

• Drive technical roadmap planning and implementation milestone delivery

• Facilitate cross-team collaboration and resolve technical integration challenges