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Lansweeper

Principal Software Engineer — AI Native (IT / OT / Cybersecurity)

Reposted 19 Days Ago
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Hybrid
Austin, TX, USA
Expert/Leader
Hybrid
Austin, TX, USA
Expert/Leader
Design and build AI-native, high-performance distributed backend platforms for IT/OT/cybersecurity. Integrate LLMs and ML into production workflows, develop data pipelines and real-time processing, mentor engineers, and drive architectural direction and AI-assisted engineering practices.
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Principal Software Engineer - AI Native (IT / OT / Cybersecurity)
Austitn, TX - Hybrid (2 Days in office)
Context & Impact
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.
AI Fluency
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.
Challenge
The main challenges you'll face are :
  • Maintaining engineering rigor and system quality in an AI-assisted development environment
  • Scaling systems while balancing performance, reliability, and architectural clarity
  • Coordinating parallel AI-driven development workflows without losing technical coherence

Key Responsibilities
  • 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
  • Build scalable backend systems, distributed services, data pipelines, and real-time processing frameworks
  • Work on technologies involving network discovery, protocol analysis, telemetry, asset intelligence, and security analytics
  • Integrate foundational LLM and machine learning technologies into operational and engineering workflows
  • Drive adoption of modern AI engineering methodologies and AI-assisted software development practices across the engineering
  • Mentor engineers and contribute to architectural direction, technical standards, and engineering best practices

Key Requirements
Hard Skills
  • 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

Preferred / Nice to Have
  • Experience with network-related technologies, protocols, and enterprise IT or OT environments
  • Experience with cybersecurity analysis tools, frameworks, SIEM, EDR, or threat intelligence systems
  • Cloud-native platforms, Kubernetes ecosystems, streaming systems, or observability frameworks
  • Exposure to vector databases, RAG architectures, or AI inference systems
  • Contributions to open-source projects or developer ecosystems

Soft Skills
  • Deep technical curiosity and systems thinking with a pragmatic approach to problem solving
  • Strong ownership mindset and engineering craftsmanship
  • Collaborative approach with a genuine passion for mentoring and growing other engineers

AI Specific Skills
Lansweeper is an AI-native company currently undergoing a company-wide AI transformation across all departments and engineering functions. In this Principal Software Engineer role, you are expected to actively embrace and apply AI-assisted development tools and LLM-based workflows as part of your day-to-day engineering practice. Comfort working in an AI-native engineering environment - and a genuine passion for pushing the boundaries of what AI-assisted software development can deliver - is a hard requirement, not a nice-to-have.
Our Offer
  • Competitive compensation aligned with industry benchmarks
  • Benefits:• Time off - 20 vacation days + 3 sick days + 6 personal days + 12 public holidays.• Health & protection - Medical, dental, vision, life, and disability insurance, plus EAP mental health support.• Pension - 401(k) with 4% employer match.• Work setup - Hybrid working with full telework equipment and a monthly internet allowance.• Opportunity to lead within an AI-forward sales organization.• Career growth and learning opportunities within a fast-scaling SaaS company.• Hybrid working model: in our Austin, Texas office.• Engaging company culture with team events and international collaboration.
  • Career growth and learning opportunities within a fast-scaling SaaS company
  • Company events and international collaboration

The Team
Team Size: ~20 people within 12 months (currently 3 directs + Montreal team + potential US
team)
About Lansweeper
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.
In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.
With Lansweeper, organizations can:
  • See - Truly complete visibility across hybrid environments
  • Know - Enriched asset intelligence with lifecycle and risk context
  • Act - Automate workflows, coordinate remediation, and enforce policy at scale

From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.
Our culture - built on four core values:
  • One Team - United across boundaries
  • We Care - Customers and people at the center
  • We Grow - Learning, sharing, improving
  • We Deliver - Focusing on what truly matters

AI Usage During Hiring Process
We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via [email protected]
Diversity Statement
It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.
Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.
Call to Action
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Lansweeper Austin, Texas, USA Office

Our company is located close to the Arboretum and the Domain, and only 20 minutes from the airport.

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