Chainalysis

Senior Software Engineer, Blockchain Protocols

6.0/10
Chainalysis
Not specified
Remote
senior
about 4 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-structured but lacks compensation details, affecting overall quality.

AI quality score6.3 / 10

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Overview

Join Chainalysis as a Senior Software Engineer to build scalable blockchain systems and leverage AI in a remote role. Help shape the future of blockchain data solutions. The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. The Protocols team delivers high-quality, low-latency blockchain datasets that serve as the trusted foundation for Chainalysis’ investigation, compliance, data and security products. We currently support more than 30 blockchains, translating on-chain data into actionable intelligence.

In this role, you’ll

  • Architect and evolve scalable, reliable, and performant systems for ingesting and parsing complex blockchain data.
  • Leverage AI-native engineering workflows (LLMs, automated agents) to increase team velocity and code quality.
  • Provide blockchain protocol expertise (EVM, UTXO, etc.) to the team and cross-functional stakeholders.
  • Manage the full software development lifecycle, including production monitoring, debugging, and maintaining reliability of our pipelines and services.
  • Work closely with Product Managers to ensure our datasets meet the evolving needs of the crypto ecosystem.
  • Guide junior and mid-level engineers through code reviews, design docs, and technical mentorship.

Technologies we use

  • Languages: Java, TypeScript
  • Data Processing: Spark, Databricks, PostgreSQL
  • Infrastructure: AWS (Serverless & EKS), Kubernetes, Terraform
  • CI/CD: GitHub Actions

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

We’re looking for candidates who have

  • 5+ years of experience building distributed systems or data-intensive applications.
  • A bias to ship and the ability to iterate quickly in a fast-moving environment.
  • Demonstrated ability to leverage AI assisted development tools to increase velocity while maintaining reliable, maintainable code.
  • A deep understanding and experience of at least one Blockchain protocol.

You might also have

  • Knowledge and experience with non-EVM chains such as Solana, TON, and Sui.
  • Experience with indexing and ETL at scale (Spark/Databricks).
  • Knowledge of Infrastructure as Code (Terraform) and managing services in Kubernetes.
  • Contributions to open-source blockchain projects.
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