Get total asset visibility for every IT and security decision. Lansweeper delivers AI-native asset visibility and context teams trust to act with confidence. Backed by Insight.
About the role
Design and build high-performance software platforms and services for IT, OT, and cybersecurity environments Develop AI-native capabilities for visibility, automation, analysis, orchestration, and operational intelligence across enterprise and industrial ecosystems
What they're looking for
- 10+ years of professional software engineering experience
- Strong programming expertise in C++, Go, or Rust
- Proven experience building distributed systems, backend platforms, or infrastructure software at scale
- Strong understanding of modern software architecture, concurrency, scalability, and systems performance
- Practical understanding of foundational LLM and Machine Learning concepts and how they apply to production systems
- Experience working with AI-assisted engineering workflows and modern developer productivity tooling
More about this role
Principal Software Engineer — AI Native (IT / OT / Cybersecurity)
Austitn, TX - Hybrid (2 Days in office)
Lansweeper is growing its engineering capability with a newly created Principal Software Engineer role focused on AI-native platform development across IT, OT, and Cybersecurity domains.
As a Principal Software Engineer, you will help design and build the next generation of intelligent platforms, systems, and frameworks that combine modern distributed systems engineering with foundational AI and machine learning technologies. Your work will directly shape how Lansweeper delivers advanced visibility, automation, analysis, and orchestration capabilities across enterprise infrastructure, industrial environments, networks, and security ecosystems.
This is a full-time, hybrid role based in Austin, Texas , with 2 days onsite per week .
At Lansweeper, we are building an AI-native engineering culture. We expect all engineers to actively use AI tools (such as Claude) in their day-to-day work to improve efficiency and output quality across the software development lifecycle, including coding, testing, documentation, and system design.
Maintaining engineering rigor and system quality in...
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