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

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. Principal_Softw...Austin.pdf

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.

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

• Career growth and learning opportunities within a fast-scaling SaaS company

• Flexibility in working hours

• Hybrid working model — 2 days onsite per week in Austin, Texas

• Engaging company culture with team events and international collaboration

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

Pay Transparency

At Lansweeper, every role is assigned to a level defined by three things: the expertise it requires, the complexity it involves, and the scope of impact it carries.

Each level maps to a salary band based on salary benchmarks from the Software/SaaS industry of your country, so your pay reflects what the market pays for comparable roles.

Where you land within that range depends on the expertise you bring, the complexity you have navigated, the scope of impact you have owned, and your track record of delivering results in comparable roles — the same criteria applied consistently to every candidate.

We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.

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.

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