Senior Blockchain System Architect

Job Overview

Vacancy Description

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, 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

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

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 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

Why IdeaSoft

What We Offer

Competitive compensation

Social package (24 working days of annual leave and 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 team

Educational possibilities: corporate courses, knowledge hubs, and in-house English classes

Compensation for your professional certification & support for your learning activities

Opportunity to choose IT equipment you like

Corporate social responsibility

Tamara Mitiagina

Head of Recruitment

---