Senior Software Engineer — Identity, Distributed Systems & AI Infrastructure

Abaxx Technologies

United States

On-site

USD 180,000 - 300,000

Full time

14 days+
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Job summary

Abaxx Technologies seeks a Senior Software Engineer to design and build core components across their platform. This role demands strong skills in distributed systems and backend development. Responsibilities include building secure identity workflows, developing APIs, and contributing to AI-native infrastructure.

The ideal candidate will have at least 5 years of experience, specifically with TypeScript, Golang, and Node.js. Compensation ranges from $180,000 to $300,000, subject to experience and location, plus equity, bonuses, and benefits.

Qualifications

  • 5+ years of professional software engineering experience.
  • Experience building distributed backend systems and APIs.
  • Strong understanding of authentication and authorization systems.

Responsibilities

  • Design and implement scalable backend services in Golang, TypeScript, and Node.js/Bun.
  • Build secure identity and authentication workflows using OAuth2 and OIDC.
  • Contribute to AI-native infrastructure and event-driven systems.

Skills

TypeScript
Golang
Node.js
Distributed backend systems
OAuth2/OIDC
Communication skills
Problem-solving skills

Tools

PostgreSQL
Docker
AWS

Job description

Senior Software Engineer — Identity, Distributed Systems & AI Infrastructure

The Senior Software Engineer will help design and build core components across the Abaxx platform ecosystem — spanning ID++, MarketOS, Argus, and Agents++. This role requires strong distributed systems experience and the ability to contribute across backend infrastructure, identity systems, AI integrations, and real‑time event‑driven architectures. The ideal candidate is highly self‑directed, execution‑focused, and comfortable working across multiple layers of a modern platform stack in a fast‑moving environment.

Responsibilities
  • Design and implement scalable backend services in Golang, TypeScript, and Node.js/Bun, with accountability for reliability, performance, and long‑term maintainability across the platforms you own.
  • Build secure identity and authentication workflows using OAuth2, OIDC, DIDs, and Verifiable Credentials, with a strong understanding of the trust models and security implications underlying each.
  • Develop APIs and distributed services supporting both decentralized and enterprise‑grade workflows, designed for correctness, security, and scale from the outset.
  • Contribute to AI‑native infrastructure and LLM‑integrated systems, including agent‑based architectures and MCP‑compatible platforms where AI systems operate alongside or within core product workflows.
  • Build event‑driven and real‑time communication systems with attention to failure modes, message ordering, and system behavior under load.
  • Participate actively in architecture and systems design discussions, bringing informed technical judgment to decisions that have long‑term platform consequences.
  • Own platform performance, reliability, and observability across your surface areas — instrumentation, monitoring, and incident response are part of the role, not someone else’s responsibility.
  • Contribute to internal engineering standards, code quality practices, and platform security, with the expectation that your work raises the baseline for the engineering organization broadly.
  • Mentor junior engineers where needed, providing technical guidance and code review that accelerates their development without creating dependency.
Required Qualifications
  • 5+ years of professional software engineering experience
  • Strong experience with:
  • TypeScript
  • Golang
  • Node.js and/or Bun
  • Experience building distributed backend systems and APIs
  • Strong understanding of:
  • OAuth2 / OIDC
  • Authentication and authorization systems
  • Event‑driven architectures
  • Experience with PostgreSQL and modern data systems
  • Familiarity with Docker and cloud deployment environments
  • Ability to work independently in a fast‑moving engineering organization
  • Strong communication and problem‑solving skills
Preferred Qualifications

Experience with any of the following is highly valuable:

  • Decentralized identity (DID)
  • Distributed Web Nodes (DWNs)
  • WebSockets / real‑time messaging systems
  • AI/LLM integrations
  • MCP or agent‑based systems
  • Cryptographic signing and key management
  • AWS infrastructure and Terraform
  • Financial infrastructure or regulated systems
  • Electron or cross‑platform desktop applications
About Abaxx

Abaxx Technologies is building next‑generation digital market infrastructure where identity, security, and intelligent automation converge. Our platform ecosystem spans decentralized identity (ID++), enterprise authentication, AI and agent orchestration, secure messaging, digital signing and evidentiary workflows, and cloud‑native and regulated financial technology systems.

In addition to our technology platforms, Abaxx operates the Abaxx Commodity Futures Exchange and Clearinghouse, regulated by the Monetary Authority of Singapore, supporting physically‑settled benchmark futures in energy transition markets. As our platforms scale across regulated environments, we hold engineering excellence, release confidence, and operational reliability to the highest standard.

Compensation

Base salary $180,000-$300,000 commensurate with experience and geographical location. Equity, bonus, and benefits.

Confidentiality

This role has access to highly sensitive legal, governance, strategic, and intellectual property information and is expected to maintain strict confidentiality at all times.

Equal Opportunity Statement

Abaxx is an Equal Opportunity Employer and is committed to fostering an inclusive workplace free from discrimination and harassment.

Disclaimer

This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all duties and responsibilities. Management reserves the right to modify duties at any time based on business needs.

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