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# Senior Software Engineer - Go/Rust/C++ - AI Native Platform

- **Company:** Lansweeper (alicante, España) Seguir
- **Location:** Alicante (Alacant), Spain (Remote available)
- **Salary:** €48,295.0 - €78,478.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Software as a Service, Code Review, Cursor, Distributed Systems, Fault Tolerance, Github, Open Source Technology, Microsoft Copilot, Software Engineering, Data Processing, Claude Code, Backend, Build Management, Kubernetes, Terraform, Data Pipelines
- **Published:** October 18, 2026
- **Apply:** https://www.recruit.net/job/software-engineer-go-rust-c-jobs/EBB622B8C7CE4EAE

## About the Role

Hard Skills

 * Primary language: Go or Rust
 * Proven experience building distributed systems at scale
 * Strong experience with AI-assisted development tools (Claude Code, Cursor, Copilot, etc.)
 * Hands-on experience with AWS, Kubernetes, and Terraform
 * Strong understanding of backend systems and data-intensive platforms
 * Active engineering practice (GitHub, open-source, or personal projects - we will look)

Soft Skills

 * Strong systems thinking and problem-solving ability
 * High ownership and accountability
 * Ability to work effectively in AI-augmented environments

## Description

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Receive expert feedback with personalized suggestions to enhance your resume., The Recognition & DataCore team owns the core intelligence layer of our platform: the systems that discover, identify, classify, and enrich millions of assets across IT, OT, cloud, and IoT environments. This is high-stakes, high-scale backend engineering - the kind of work where precision, performance, and reliability directly affect the security posture of our enterprise customers worldwide.

We are looking for a Senior Software Engineer who writes production-quality Go or Rust, thinks deeply about distributed systems, and treats AI-assisted development as a daily practice - not an experiment.

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:

 * Enhancing and maintaining high-scale distributed backend systems handling millions of assets
 * Solving complex data processing, enrichment, and classification problems at scale
 * Maintaining performance, reliability, and engineering rigor in an AI-assisted development environment, * Design and build scalable backend services and data pipelines for asset discovery, recognition, and enrichment
 * Work on distributed systems problems: concurrency, fault tolerance, and high-throughput processing
 * Integrate AI and ML capabilities into product workflows
 * Contribute to architecture decisions and technical standards
 * Use AI-assisted development tools as part of your daily workflow
 * Mentor engineers and raise the technical bar
 * Participate in code reviews, design discussions, and continuous improvement