Senior Software Engineer

Lansweeper NV; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

401(k) matching

Monthly internet allowance

Telework equipment

Job summary

Lansweeper is seeking a Senior Software Engineer to build scalable, AI-enabled platforms in an AI-native development environment. You will work within the Discovery Team on AI-assisted development streams, shaping architecture and delivering reliable systems.

The role emphasizes AI tools usage, strong data modeling, APIs, and distributed system design, with collaboration across Product, UX, and Engineering. Austin hybrid work model with in-office days.

Qualifications

• 10+ years in software engineering with strong fundamentals.
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Responsibilities

• Design and build maintainable, scalable, observable software systems.
• Operate in AI-augmented workflow and validate AI outputs.
• Contribute to architecture discussions and long-term direction.
• Apply systems thinking across data models, APIs, distributed systems, and service boundaries.
• Produce clear technical docs, prompts, and design proposals.
• Mentor peers and collaborate with Product, UX, and Engineering teams.

Skills

10+ years of experience

Software fundamentals

C/C++/Golang/Rust

Backend/Distributed systems

APIs/SOA

Scalable, reliable systems

AI-assisted development

SQL

Networks & hardware

Systems thinking

Ownership mindset

AI tools usage

Tools

Claude

Code assistants

Agent-based workflows

Job description

Senior Software Engineer – AI-Native Platform

Austin, TX (Hybrid, 2–3 days per week in office)

Context & Impact

Lansweeper is evolving its engineering organization toward an AI-native development model. We are hiring a Senior Software Engineer to build reliable, scalable systems while operating in an AI-augmented development environment.

Team Info

In the near term, you will contribute to the Discovery Team's work on Traffic Sensor evolutionary efforts, with AI capabilities at the center of everything we build. The team is responsible for ensuring system quality, architectural clarity, and scalable design across multiple parallel AI-assisted development streams. Longer term, you will help shape how AI-native engineering practices scale across the platform.

AI Fluency

At Lansweeper, we are building an AI-native engineering culture. We expect all engineers to actively use AI tools to enhance productivity and quality across the software development lifecycle, including coding, testing, documentation, and system design. Candidates should be comfortable working with AI-assisted workflows and continuously evolving their approach as tools and practices advance.

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 maintainable, scalable, observable, and well-tested software systems

• Operate in an AI-augmented development workflow, decomposing problems and validating AI-generated outputs

• Contribute to architecture discussions, long-term system evolution, and technical direction

• Apply strong system thinking across data models, APIs, distributed systems, and service boundaries

• Produce clear technical documentation, structured prompts, and design proposals

• Mentor peers and collaborate with Product, UX, and Engineering teams

Key Requirements

Hard Skills

• 10+ years of relevant software engineering experience

• Strong foundation in software engineering fundamentals including testing, version control, CI/CD, and code review

• Proven experience in C, C++, Golang or Rust

• Experience building backend systems or distributed systems

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

• Experience designing scalable and reliable systems

• Practical experience working in an AI-assisted development environment

• Experience with SQL

• Knowledge of networks and underlying hardware infrastructure

Soft Skills

• Strong systems thinking and problem-solving ability

• Curious and adaptable with the ability to learn new tools quickly

• Strong ownership mindset and commitment to engineering quality

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 prompting, validating, and refining AI-generated outputs, and using AI to improve development speed while maintaining production-quality standards.

Team Info

You’ll join the Discovery Team, working closely with Product, UX, and Engineering teams.

Team size:

10 engineers, distributed across North America.

Our Offer

• Salary: 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

• Flexibility in working hours and hybrid work options in the Austin, TX office.

• Company 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

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 [e-mail]

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.