Architect

remote

We are seeking a Senior System Architect to lead the technical architecture of an innovative blockchain-based AI infrastructure platform. This role requires deep expertise in distributed systems, blockchain architecture, and cloud infrastructure to design and implement scalable solutions that bridge blockchain technology with AI model execution.

Project tech stack:

Programming Languages: Go, Python, RustAI & ML

Frameworks: TensorFlow, PyTorch, ONNX

Blockchain Frameworks: Cosmos SDK, Tendermint, CosmWasm

Databases & Storage: PostgreSQL, IPFS, Redis

Infrastructure & Orchestration: Kubernetes, Docker, Terraform

Cloud & GPU Computing: AWS/GCP AI/ML services, Nvidia CUDA, TensorRT

Version Control: Git, GitHub.

Requirements:

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 Azur,e 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

Would be a plus:

Technical Experience:

Knowledge of IPFS, decentralized storage systems, or content-addressable storage
Understanding of economic models, tokenomics, and blockchain-based resource allocation
Experience with WebAssembly (WASM) for blockchain runtime environments
Background in high-frequency trading systems, financial infrastructure, or marketplace platforms.

Leadership & Collaboration:

Track record of leading technical teams through complex system implementations
Experience with agile development methodologies and sprint-based delivery
Strong communication skills for explaining technical concepts to non-technical stakeholders
Experience with open-source development and community collaboration
Background in mentoring junior developers and establishing technical standards

Responsibilities:

Architecture & Technical Leadership:

Design and evolve system architecture for a 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 the 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 a 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 the 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

We Offer:

Competitive compensation;
Social package (24 working days of annual leave, 5 paid sick days);
Flexible working hours;
Challenging projects in diverse business domains and a variety of tech stacks;
Personal development and professional growth opportunities;
Work with talented, ambitious, and family-feel teams;
Educational possibilities: corporate courses, knowledge hubs, and in-house English classes;
Compensation for your professional certification & support for your learning activities;
Opportunity to choose the IT equipment you like;
Corporate social responsibility.