Senior Software Engineer

Senior Software Engineer – AI-Native Platform
Austin, TX (Hybrid 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 recruitment@lansweeper.com
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
Ready to join us?
Click Apply
now or share this role with someone in your network.
This role is not eligible for visa sponsorship, now or in the future. Candidates must be currently authorized to work in the United States on a full-time, permanent basis without the need for employer sponsorship.*