Protex AI is hiring a Lead Internal Tooling Engineer

About the Role

The individual will lead the development and evolution of internal tooling platforms, working closely with engineering teams to identify pain points and deliver scalable solutions.

Responsibilities

  • Design and implement scalable internal tools to support engineering workflows
  • Collaborate with software engineers to understand operational challenges
  • Own the end-to-end lifecycle of internal platforms
  • Optimize tooling for performance, reliability, and usability
  • Drive adoption of new systems through documentation and training
  • Identify opportunities to automate repetitive engineering tasks
  • Maintain security and compliance standards across internal tools
  • Troubleshoot and resolve issues in production tooling environments
  • Work with data teams to integrate analytics into internal platforms
  • Lead technical design discussions and architecture planning
  • Ensure tools are accessible and well-documented
  • Gather feedback to prioritize feature development
  • Evaluate third-party tools versus building in-house solutions
  • Mentor engineers contributing to internal systems
  • Establish best practices for internal tool development
  • Integrate tools with CI/CD pipelines
  • Monitor system health and usage metrics
  • Scale infrastructure to meet growing demands
  • Enforce consistent user experiences across platforms
  • Coordinate with product teams on cross-functional initiatives
  • Balance short-term needs with long-term technical vision
  • Reduce technical debt in legacy internal systems
  • Promote reusability and modular design patterns
  • Support on-call responsibilities for critical tooling
  • Ensure uptime and reliability of core platforms

Compensation

Competitive salary with equity and benefits package

Work Arrangement

Hybrid or remote options available

Team

Small, fast-moving team focused on developer productivity and internal systems

Why This Role Matters

Internal tools are critical to scaling engineering productivity. This role directly impacts how efficiently teams build, test, and deploy software by creating systems that reduce friction and eliminate bottlenecks.

Technology Stack

The team uses modern web frameworks, cloud-native services, and a mix of open-source and proprietary tools. Tech choices are driven by reliability, maintainability, and team velocity.

Available for qualified candidates

Required Skills
PythonJavaScriptSQLAWS LambdaAutomationCI/CDAWSAPI DevelopmentMonitoringProblem Solving
About company
Protex AI
At the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights.
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Job Details
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Posted 10 months ago