# Fullstack Engineer

**Company:** [Elliptic](https://hotfix.jobs/companies/elliptic)
**Location:** Washington, DC
**Role:** Fullstack Engineering
**Skills:** TypeScript, React, Nest.Js, Postgres, Kubernetes, AWS, Terraform, Datadog, Artificial Intelligence, Data Pipelines, Big Data, Cryptocurrency, Blockchain, Observability, Agentic Tooling
**Posted:** 2026-09-08

> Builds and ships full-stack tools and services powering Elliptic’s cryptocurrency intelligence collection pipeline. The role requires strong TypeScript, React, and Nest.js experience, familiarity with cloud infrastructure and observability, and practical use of AI-assisted and agentic development tools.

## Job Description

## Responsibilities
- Design and build software tools that improve intelligence collection and analysis, including services deployed on Kubernetes and autonomous agents.
- Collaborate with analysts and researchers to understand processes and automate bottlenecks, deploying AI where appropriate.
- Develop software to analyze and interpret cryptocurrency usage behaviors and trends.
- Implement observability mechanisms to detect problems and run associated processes to resolve them.

## Requirements
- Passionate interest in cryptocurrencies and blockchains, including their technical and economic usage in the real world.
- Strong coding skills in TypeScript and the ability to engineer effective solutions.
- Experience improving operational efficiency by integrating disparate systems.
- Experience building and shipping production software in a commercial engineering environment.
- Proficiency in TypeScript, with hands-on experience with React and Nest.js.
- Familiarity with PostgreSQL and Kubernetes.
- Experience with AWS, Terraform, and Datadog.
- Ability to work effectively with geographically distributed colleagues across time zones.
- Ability to make evidence-based arguments and influence stakeholders.
- Good judgment about when to build proof-of-concept versus production-grade software.
- Experience using AI-assisted and agentic tooling and building with AI in day-to-day engineering work.

## Nice-to-haves
- Experience working in an intelligence collection setting.
- Experience with big data technologies, data management, and data pipelines.
- Experience raising the standard for AI practices among teammates.

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