Senior AI-Native Backend Engineer (C/C++, Go, Rust)

Lansweeper

Austin (TX)

Hybrid

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Benefits package
Hybrid work options
Career growth
Company events

Job summary

Lansweeper, an AI-native platform company, seeks a Senior Software Engineer to build reliable, scalable systems on AI-assisted development streams from Austin. You will influence Discovery Team work on Traffic Sensor evolutions with AI at the core of design and delivery.

You will contribute to architecture discussions, ensure system quality, and mentor peers while collaborating with Product, UX, and Engineering teams in a hybrid environment.

Qualifications

  • 10+ years of software engineering experience.
  • Strong fundamentals: testing, version control, CI/CD, code review.
  • Proven experience with C, C++, Golang or Rust for backend or distributed systems.
  • Solid data modeling, APIs, and service-oriented architectures knowledge.

Responsibilities

  • Design and build maintainable, scalable, observable, and well-tested software systems.
  • Operate in an AI-augmented development workflow, decomposing problems and validating AI outputs.
  • Contribute to architecture discussions and long-term system evolution.
  • Apply systems 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.

Skills

Software engineering
AI-assisted development
C/C++
Golang
Rust
SQL
Distributed systems
APIs & SOA
CI/CD
Networking basics

Tools

CI/CD tooling

Job description

Lansweeper, an AI-native platform company, seeks a Senior Software Engineer to build reliable, scalable systems on AI-assisted development streams from Austin. You will influence Discovery Team work on Traffic Sensor evolutions with AI at the core of design and delivery.

You will contribute to architecture discussions, ensure system quality, and mentor peers while collaborating with Product, UX, and Engineering teams in a hybrid environment.

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