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Project Tech Stack
Programming Languages: Go, Python, Rust
AI & 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
- 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
- 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
- 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
- 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:
- 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.
- 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
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
- 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
- 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
- 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
- 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
- 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.
Key Skills
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