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Senior Software Engineer – AI-Native Platform - C++ - GO - Rust 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 hr@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? 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Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
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When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.