About Luxor

Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy.

We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource.

As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy.

Role description

This role focuses on building and evolving Luxor’s next-generation backend systems, which serve as the core infrastructure for global mining operations. You will work on mission-critical components that handle high-concurrency, long-lived connections and real-time workload distribution at scale.

You will report to the Systems Team Tech Lead. This is a remote role, with primary time zone alignment to China time (UTC+8) and async collaboration across North America.

Reading and writing in English is required for this position.

Responsibilities

• Design, implement, and maintain backend services using Golang

• Build and operate high-concurrency, long-lived network services that support large-scale connections

• Contribute to system architecture with a focus on high availability, scalability, and fault tolerance

• Analyze and optimize system performance, latency, and resource utilization in production environments

• Deploy, monitor, and troubleshoot services running on Kubernetes (K8s)

• Participate in code reviews and design discussions to ensure high code quality and operational reliability

• Write and maintain technical documentation for system design, deployment, and operational workflows

• Collaborate with cross-functional teams to support and evolve Luxor’s core services

Requirements

• A bachelor’s degree in computer science, software engineering, or a related field is preferred

• 3+ years of backend engineering experience (Golang).

• Strong proficiency in Golang, with good coding standards and an emphasis on maintainability and engineering quality

• Hands-on experience building high-concurrency, long-lived network services (e.g., TCP services, real-time systems, gateways, proxies).

• Familiarity with Docker and Kubernetes (K8s), including containerized deployments, resource management, rolling updates, and service discovery.

• Good understanding of data structures and performance optimization techniques.

• Comfortable working in Linux environments, with the ability to troubleshoot and diagnose system-level issues.

• Proven interest and experience in building high-availability, scalable distributed systems

• Strong documentation and code review habits, with the ability to clearly communicate technical designs and trade-offs.

• Reading and writing proficiency in English for technical documentation and asynchronous collaboration.

Bonus points

• Background in mathematics, cryptography, or related fields.

• Knowledge of blockchain technology/mining pool industry.

• Agile development experience.

• Always considering scalable and secure design solutions.

• Familiarity with one or more of C/C++/Python.

How we use AI in our hiring process

We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used.

During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team.

We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days.

In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time.

In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.