Senior Blockchain Engineer, Digital Assets

Purple Drive Technologies

$120K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of professional software engineering experience
  • Hands-on experience with blockchain or distributed ledger systems
  • Strong understanding of Layer-1 blockchain protocols
  • Experience in building backend services and APIs
  • Proficiency in programming languages such as Go, Java, Rust, Python
  • Ability to collaborate effectively across custody, security, and platform teams
  • Preferred experience with blockchain indexers and explorers

Responsibilities

  • Integrate enterprise systems with Layer-1 blockchains for custody and scalability needs
  • Engineer transaction lifecycle mechanics ensuring reliability under production loads
  • Design and build core blockchain infrastructure services and APIs
  • Support wallet architecture and key management integrations
  • Handle on-chain transaction workflows and recovery patterns
  • Define safe interaction patterns with smart contracts and token standards
  • Apply modern engineering practices in protocol analysis and documentation

Benefits

  • Collaborative and innovative working environment
  • Opportunities for professional development and career advancement
  • Engagement in cutting-edge blockchain technology projects
  • Support for modern engineering practices and AI integration
  • Flexibility in workplace location with options in Southlake or Austin
Full Job Description
Overview:

Role: Senior Blockchain Engineer, Digital Assets

Locations: Southlake, TX; Austin, TX

Role Summary

Build and integrate the blockchain infrastructure layer that underpins digital asset custody and tokenization platforms. The posting describes this as a hands-on engineering role focused on Layer-1 blockchain integration, core blockchain infrastructure, wallet engineering, and custody-related blockchain workflows.

Key Responsibilities

  • Integrate enterprise systems with existing Layer-1 blockchains and evaluate or extend Layer-1 capabilities to meet custody, scalability, and resiliency needs.
  • Engineer for chain-level mechanics such as transaction lifecycle, finality, forks, reorgs, and event propagation, while ensuring blockchain integrations remain reliable under stress conditions and production loads.
  • Design and build core blockchain infrastructure services including indexers, event processors, block explorers, observability tooling, chain data services and APIs, and interoperability or cross-chain integration components.
  • Build and support wallet architecture, transaction creation and signing workflows, submission pipelines, and integration with custody key management systems such as MPC, HSMs, and signing services.
  • Support custody-related blockchain workflows covering on-chain transaction execution, event monitoring and reconciliation, and chain-specific failure handling and recovery patterns.
  • Help define safe patterns for interacting with smart contracts and token standards from custody platforms, aligned to custody approvals and risk controls.
  • Apply modern engineering practices and AI-augmented development approaches for protocol analysis, code development and testing, documentation, and knowledge sharing.


Source-Supported Qualification Themes

  • 7+ years of professional software engineering experience.
  • Hands-on experience building or integrating blockchain or distributed ledger systems.
  • Strong understanding of Layer-1 blockchain protocols and transaction lifecycles.
  • Experience building backend services, APIs, and infrastructure components.
  • Proficiency in one or more languages such as Go, Java, Rust, Python, or similar.
  • Ability to work effectively across custody, security, and platform teams.
  • Strongly preferred: experience with blockchain indexers, explorers, or chain analytics systems; familiarity with wallet architecture and blockchain signing workflows; exposure to crypto custody platforms or security-sensitive financial systems; and experience using AI tooling to support complex software development.

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