Platform Engineer III
Fanatics
AWSCloudGoJavaKubernetesPythonTerraform
Senior Platform Engineer
Allora Labs
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 per year
Job Level
Senior
Tech Stack
ApacheAWSCloudDistributed SystemsGoGoogle Cloud PlatformJavaScriptKafkaKubernetesMicroservicesNext.jsNode.jsPythonRabbitMQReactRustSolidityTypeScriptWeb3
About the role
- Build high-performance backend services (Python, Rust, Go, Node.js) and intuitive frontends (React, TypeScript) for AI-driven applications.
- Develop on-chain/off-chain interactions between AI agents and smart contracts using Ethereum, Layer 2s, and other blockchain ecosystems.
- Design scalable and resilient distributed systems – including AI inference pipelines and Web3 infrastructure – to support growth and high availability.
- Architect a platform that makes it easy to deploy and host quant trading agents and machine learning models on Allora’s infrastructure.
- Create real-time data pipelines and indexing systems that feed AI agents with on-chain and off-chain intelligence.
- Architect and develop autonomous AI agents that interact with blockchain protocols, external APIs, and decentralized applications (dApps).
- Build platform features to foster a thriving community of ML and quantitative researchers.
- Drive key architectural decisions, mentor team members, and uphold best practices in AI agent development and decentralized systems.
- Ensure secure, high-availability deployments using automated testing, CI/CD pipelines, Kubernetes, and cloud infrastructure.
Requirements
- 15+ years of experience in software development, with expertise in Python, Node.js (TypeScript/JavaScript), and/or Rust/Go.
- Strong experience with React, Next.js, or similar modern frontend frameworks.
- Deep knowledge of backend systems, microservices, and API development.
- Proven track record in designing and scaling reliable system architectures for complex applications.
- Understanding of AI/ML concepts and experience integrating machine learning models or LLMs (large language models) and autonomous agents into applications.
- Hands-on experience with smart contract development (Solidity/Ethereum or comparable), Web3 tools, and blockchain protocols.
- Strong proficiency with modern cloud infrastructure and distributed systems – including deploying to AWS/GCP, using container orchestration (Kubernetes), and building data pipelines with streaming/message platforms like Apache Kafka or RabbitMQ.
- Ability to work independently and lead projects in a fast-paced, research-driven startup environment.
- Demonstrated technical leadership in previous roles, with experience mentoring engineers and guiding cross-team initiatives.
Benefits
- Competitive compensation package, including token incentives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonRustGoNode.jsTypeScriptReactNext.jsSolidityAI/MLmicroservices
Soft skills
technical leadershipmentoringindependent workproject leadershipcommunication
