Urgently Hiring

Senior Backend Engineer

Zerion helps users manage crypto portfolios across multiple blockchains through a self-custodial wallet interface.

Maintainer signals as of 9/25/2026

50 California Street, Suite 1500, San Francisco, CA 94111, United States
About Zerion

Zerion helps users manage crypto assets by providing wallet and portfolio tracking tools across blockchains. With it, users can track DeFi positions, swap tokens, manage NFTs, and connect to dApps. Zerion supports Ethereum, Solana, and multiple EVM-compatible networks while maintaining self-custodial security.

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Skills

About the Role

Zerion is seeking a Senior Backend Engineer to build and evolve backend systems supporting its products and customer-facing solutions. The role combines distributed systems design, Web3 platform development, customer collaboration, product influence, operational ownership, and AI-assisted engineering.

Requirements

  • 5+ years of experience designing and building distributed backend systems.
  • Strong knowledge of algorithms, data structures, and software design patterns.
  • Experience with Docker and Kubernetes.
  • Experience with Postgres, MongoDB, or Cassandra.
  • Experience with Sentry, Prometheus, or Grafana.
  • Hands-on experience with AWS.
  • Experience with Python 3.
  • Daily practical use of AI-assisted engineering workflows.
  • Strong ownership, communication, product thinking, and pragmatic decision-making skills.
  • Ability to work directly with customers and adapt quickly.

Responsibilities

  • Design, build, and maintain scalable distributed backend systems.
  • Own backend services end-to-end, including architecture, implementation, monitoring, and reliability.
  • Collaborate with product and engineering teams to shape product decisions.
  • Scope API solutions with clients and turn vague requests into concrete proposals and implementation plans.
  • Build Web3 backend components, protocol integrations, blockchain network support, and smart contract interactions.
  • Maintain high standards for code quality, performance, security, and observability.
  • Use AI throughout the engineering workflow for design, review, debugging, and delivery.
  • Contribute to technical discussions, code reviews, and engineering mentorship.