Token Metrics

Senior Software Architect (global-Remote-Non-US)

Austin, Texas, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Fintech, AI & Machine LearningIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, along with 10+ years of experience in software development, including at least 5 years in a senior architectural role. They must demonstrate expert-level knowledge of system design and architecture principles, proven experience in scaling applications to support millions of users, and a deep understanding of OLAP and OLTP databases, specifically Snowflake. Proficiency in modern web technologies and frameworks such as Next.js, Supabase, Tailwind, and Shadcn is required, alongside a strong background in cloud computing and distributed systems, and relevant certifications like Google Cloud Professional Cloud Architect. Furthermore, candidates should exhibit excellent problem-solving skills, strong communication abilities, and extensive experience in implementing bug reduction strategies and improving software quality.

Responsibilities

The Senior Software Architect will conduct a comprehensive review of Token Metrics’ current architecture, identifying areas for improvement and optimization. They will design and oversee the implementation of scalable solutions to support millions of global users, collaborating with cross-functional teams to align technical solutions with business objectives. This role involves providing technical leadership and mentorship to the development team, staying abreast of emerging technologies and industry trends, and ensuring the security and reliability of Token Metrics’ platforms at scale. The Architect will also develop and maintain architectural documentation and standards, implement strategies to significantly reduce the number of bugs in the platform, and enhance the quality assurance process to improve the reliability of engineering output.

Skills

System Design
Architecture Principles
Snowflake
Next.js
Supabase
Tailwind
Shadcn
Cloud Computing
Distributed Systems
Google Cloud
Bug Reduction
Software Quality
Problem-Solving
Communication

Token Metrics

Cryptocurrency investment platform using machine learning

About Token Metrics

Token Metrics is a cryptocurrency investment platform that uses machine learning to help users identify profitable investment opportunities and avoid scams. It offers services like cryptocurrency reviews, price predictions, and in-depth analysis, catering to both novice and experienced investors. The platform operates on a subscription model, providing access to premium features such as a private investor group and webinars. The goal of Token Metrics is to make crypto investing more accessible and less risky for its clients.

Key Metrics

Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees

Risks

Ian Balina's SEC issues could harm Token Metrics' reputation.
Privacy coin regulations may limit Token Metrics' analysis capabilities.
High-risk project involvement could expose Token Metrics to reputational damage.

Differentiation

Token Metrics uses AI and machine learning for crypto investment insights.
The platform offers exclusive access to private investor groups and webinars.
Token Metrics provides back-tested 30-day price predictions and IEO ratings.

Upsides

Growing DeFi interest boosts demand for Token Metrics' analytics services.
AI-driven trading bots present integration opportunities for Token Metrics.
NFT popularity allows expansion of Token Metrics' NFT analytics services.

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