Avatar for BTlabs
We make decentralized AI enterprise-ready

Software Engineer

  • $100k – $175k • No equity
  • |Remote ()
  • |7 years of exp
  • |Full Time
Posted: 5 months ago
Hires remotely in
Remote Work Policy

Remote only

Company Location
Visa Sponsorship

Not Available

Preferred Timezones
Pacific Time, Mountain Time
RelocationNot Allowed
Skills
Python
Cloud Computing
API
Docker
Git & Github
Machine Learning Data Science Python
ML
DevOps/Linux/Docker/Jenkins/Chef/Puppet/Git
MLOps

About the job

Job Summary

We’re looking for a strong, ownership-driven engineer who can take loosely defined problems and turn them into dependable systems. You’ll work across backend services, infrastructure patterns, deployment automation, and distributed debugging—shipping real software that runs in production across cloud and bare-metal environments. In this role, you will be at the forefront of developing, maintaining, and enhancing cutting-edge software solutions that drive our business forward. If you thrive in a fast-paced environment and are passionate about creating impactful software solutions through agile methodologies, we want to hear from you!

About BTLabs

BTLabs is building the enterprise systems layer for decentralized AI. Hardening emerging, distributed AI networks into reliable, reproducible, production-ready infrastructure. Granting teams access to new forms of compute, models, and evaluation pipelines, without sacrificing the reliability, observability, and controls they expect in production.

Duties

  • Design and implement systems from loosely definedproblem statements
  • Build and maintain Python services for model execution, scoring, and evaluation
  • Develop reproducible infrastructure patterns (Docker, Linux, bash automation)
  • Design, develop, test, and deploy robust software applications across multiple platforms
  • Debug issues across application, infrastructure, and distributed layers
  • Iterate rapidly on system improvements andperformance qualifications
  • Collaborate with cross-functional teams to gather requirements and translate them into scalable technical solutions
  • Maintain and improve existing systems by troubleshooting issues, optimizing performance, and implementing new features
  • Develop RESTful APIs and integrate third-party APIs to enhance system capabilities
  • Manage version control using tools like GitHub, SVN (Apache Subversion), and Git for efficient code management
  • Contribute to infrastructure automation and deployment processes on cloud platforms such as AWS and Azure
  • Write comprehensive documentation for codebases, APIs, and system configurations
  • Participate in code reviews and team meetings to promote knowledge sharing and continuous improvement

Qualifications

  • 3-7 years of experience in software engineering or related technical roles
  • Demonstrated ability to design and shipsystems independently
  • Comfort in ambiguous, fast-moving environments; strong ownership mindset
  • Fluency across engineering, infrastructure, and applied experimentation
  • Interest in distributed systems, blockchains, and decentralized AI networks**

Knowledge and Skills

  • Strong Python proficiency; experience building backend services and APIs
  • Proficient in software architecture and system design principles
  • Comfort in Linux environments and bash scripting
  • Experience with Docker and containerized workflows
  • Familiarity with cloud (AWS/GCP) and/or bare-metal deployments
  • Working knowledge of distributed systems concepts and failure modes
  • Proficiency of version control systems, including GitHub, SVN, and Git workflows for collaborative development
  • Familiarity with database management systems like MySQL and SQL Server; experience with SQL query optimization is a plus
  • Ability to develop secure applications with RBAC (Role-Based Access Control) principles in mind
  • Understanding of network protocols such as REST over HTTP/HTTPS for API communication
  • Excellent problem-solving skills combined with strong communication abilities to articulate technical concepts clearly

Nice to Have

  • GPU environments or ML experimentation workflows
  • Reproducibility + ops: automation, lightweight CI/CD, observability or profiling
  • Exposure to blockchain or other ledger-based technologies

About the company

BTlabs company logo
We make decentralized AI enterprise-ready1-10 Employees
Learn more about BTlabs image

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