Senior Blockchain System Architect Lisboa

Overview

Senior System Architect to lead the technical architecture of an innovative
- 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: Tensor
Flow, Py
Torch, ONNX

Blockchain Frameworks: Cosmos SDK, Tendermint, Cosm
Wasm

Databases & Storage: Postgre
SQL, IPFS, Redis

Infrastructure & Orchestration: Kubernetes, Docker, Terraform

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

Version Control: Git, Git
Hub

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 (Tensor
    Flow Serving, Torch
    Serve, 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
    - 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, Java
    Script/Type
    Script for service integration and tooling
  • API Design: Experience designing RESTful APIs, Graph
    QL, and
    - service communication protocols
  • Database Systems: Knowledge of both SQL and No
    SQL databases, distributed data storage patterns
  • Dev
    Ops: Experience with CI/CD pipelines, automated testing, and deployment automation
• Soft Skills:
  • Ability to work in a
    - paced environment
  • Strong communication and stakeholder alignment skills
  • Ability to explain complex architectural concepts clearly
  • Open to feedback, collaborative, proactive
• Technical Experience (Nice to have):
  • Knowledge of IPFS, decentralized storage systems, or
    - addressable storage
  • Understanding of economic models, tokenomics, and
    - based resource allocation
  • Experience with Web
    Assembly (WASM) for blockchain runtime environments
  • Background in
    - 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
    - based delivery
  • Strong communication skills for explaining technical concepts to
    - technical stakeholders
  • Experience with
    - 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
  - 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
  - making for complex distributed systems challenges
• Collaborate with development teams to ensure the architectural vision is properly implemented

Additional Focus Areas

• Blockchain & Distributed Systems: Architect
  - based smart contract systems and transaction processing workflows
• Design consensus mechanisms, state management, and
  - 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
  - scaling for AI workloads
• Design inference serving architectures for
  - 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
  - cloud and hybrid cloud architecture for distributed AI workloads
• Architect container orchestration and microservices deployment strategies
• Implement
  - scaling, load balancing, and resource management systems
• Design network topology, security policies, and
  - 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
  - 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
  - feel teams
• Educational possibilities: corporate courses, knowledge hubs, and
  - house English classes
• Compensation for your professional certification and support for your learning activities
• Opportunity to choose the IT equipment you like
• Corporate social responsibility