Principal Engineer – Discovery

Principal Software Engineer – AI-Native Architecture (Discovery Platform)

Ghent, Belgium (Hybrid 2–3 days in office required)_

Context & Impact

We’re looking for a Principal Software Engineer to operate at the intersection of deep technical expertise and cross-functional leadership. This is not a people management role, but a position for someone who has developed strong intuition for how complex systems behave and can translate that into architectural direction and meaningful organizational impact.

You will work on the Discovery platform, one of the core pillars of Lansweeper, responsible for identifying, classifying, and understanding assets across complex IT, OT, and networked environments.

In the near term, you will drive architectural clarity, scalability, and reliability of the platform. Over time, you will shape how AI-native engineering practices are applied to discovery, protocol analysis, and large-scale system intelligence.

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:

Driving architectural clarity across a distributed discovery platform operating on incomplete, variable, and large-scale data

Balancing scalability, reliability, and correctness in complex networked environments

Ensuring technical coherence across teams while evolving systems and practices toward AI-native development

What you'll do

• Build. You will still ship code, prototypes, deliverables, and tackle the hardest problems, leading by example

• Drive architectural direction and long-term technical strategy for the Discovery platform, with measurable gains in scalability, reliability, and discovery accuracy

• Own cross-team technical coherence through design reviews, RFCs, alignment, and influence across neighboring teams

• Act as technical reference for complex systems, networking, and discovery challenges

• Define and evolve AI-native engineering practices, including where AI is used (code, tests, protocol reverse-engineering, documentation) and where boundaries are required (security, reproducibility), and drive adoption beyond your team

• Partner with product, infrastructure, and business stakeholders to turn ambiguous problem spaces into executable solutions

• Mentor engineers and raise the technical bar across engineering

What we're looking for

Required

• 10+ years in software engineering with progression into architecture and technical leadership

• Proven cross-team impact, influencing architecture, driving adoption, and improving outcomes

• Strong distributed-systems and backend experience in production, including large-scale, variable, or partial-data environments

• Strong networking fundamentals, the deeper the better

• AI fluency and orchestration: you use AI across your daily craft — code, tests, documentation — and critically assess correctness, security, and limitations

• Solid grasp of data modeling, APIs, and service-oriented architectures

Strong Plus

• Affinity with .NET / C# (our primary platform; language matters less than how you think and orchestrate AI)

• Deep protocol-level knowledge

• Experience building or operating large-scale discovery or scanning systems

• Solid CI/CD practices and experience operating containerized workloads in production

Nice To Have

• Experience with Rust, Go, or Java

• Exposure to OT, IoT or medical environments

• Experience with on-premise or air-gapped deployments

• High-throughput service design

• Platform engineering and infrastructure-as-code experience

*This role may include participation in our on-call duty system, which means being available outside regular hours to respond to urgent technical incidents. On-call weeks are planned in advance, and we offer a base allowance plus potential overtime compensation. You would need to respond within 30 minutes and be reachable by laptop, phone, or email when on call.*

AI Specific Skills

Lansweeper is an AI-native company. In this role, you are expected to actively use AI-assisted development tools such as Claude, code assistants, and agent-based workflows as part of your daily engineering practice. You should be comfortable guiding AI tools, validating outputs, and integrating AI into engineering workflows to improve speed and quality while maintaining production-grade standards.

Team Info

You’ll join an enthusiastic team of 20 engineers based in Belgium (globally the engineering team consists of 120 people).

Our Offer

Salary: €85,642 – €139,168 gross per year

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

Flexibility in working hours and hybrid work options

Company events and international collaboration

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.

• The gross salary range for this role is €85,642 – €139,168 (EUR) (Belgium) (based on full-time employment).

• 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.

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

We're 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

How AI is Used 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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