Senior Software Engineer C++ - Golang - Rust

LANSWEEPER INC.
Austin, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Austin, United States of America

Tech stack

C
API
Artificial Intelligence
C++
Code Review
Continuous Integration
Distributed Systems
Modular Design
Standard Sql
Service-Oriented Architecture
Software Engineering
Software Systems
Backend
Build Management
Hardware Infrastructure
Go

Job description

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, * 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, 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.

Requirements

  • 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

Benefits & conditions

  • Salary: Competitive compensation aligned with industry benchmarks
  • Benefits: Comprehensive benefits package aligned to US market
  • Career growth and learning opportunities within a fast-scaling SaaS company
  • Flexibility in working hours and hybrid work options
  • 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.

About the company

From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.

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