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Senior Software Engineer

TLDR

Join a dynamic team working on cloud-native solutions using AI tools while ensuring system quality and architectural clarity in a rapidly evolving environment.

Context & Impact 

Lansweeper is evolving its engineering organization toward an AI‑native development model, and we’re looking for AI‑Native Senior Software Engineers who combine strong software engineering fundamentals with the ability to work effectively in an AI‑augmented workflow.

Your mission: build and own reliable, scalable systems in an environment where code is cheap, but correctness, architecture, and long‑term quality matter more than ever. 
You will use AI as a force multiplier—not a shortcut—ensuring that speed never compromises engineering rigor.

You will work in a modern cloud‑native stack: Golang, Node.js, Kubernetes, PostgreSQL, MongoDB, and GitHub‑based CI/CD.

What You’ll Tackle 

The main challenges you’ll face:

  • Maintaining engineering rigor, architectural clarity, and system quality in an AI‑assisted development environment

  • Scaling distributed systems while balancing performance, reliability, and simplicity

  • Keeping multiple AI‑accelerated development streams coherent and aligned with long‑term architecture

  • Exercising judgment and autonomy in an environment with high ambiguity and rapid iteration


Key Responsibilities
 

  • Design and build maintainable, scalable, observable, and well‑tested systems

  • Operate in an AI‑augmented workflow: decompose problems, guide AI tools, review AI‑generated output, and enforce production‑grade quality

  • Own technical decisions, ensuring that AI‑generated code aligns with architectural direction and long‑term system health

  • Contribute to architecture design, system evolution, and cross‑team technical strategies

  • Apply strong systems thinking across data models, APIs, distributed systems, and service boundaries

  • Produce clear design proposals, technical documentation, and structured prompts that improve collaboration between engineers and AI systems

  • Work with a high degree of autonomy, making decisions under uncertainty and driving initiatives to completion

Key Requirements 


Hard Skills
 

  • Strong foundation in software engineering fundamentals (testing, version control, CI/CD, code review)

  • Proven experience designing and building backend or distributed systems

  • Solid understanding of data modeling, APIs, and service‑oriented architectures

  • Experience designing reliable and scalable systems in production

  • Practical experience using AI tools for coding, refactoring, testing, and documentation

  • Strong programming skills in Golang and Node.js

  • 6+ years of cloud‑native backend engineering experience

  • Hands‑on expertise running services on Kubernetes with GitHub-based CI/CD

  • Strong experience with PostgreSQL and MongoDB


Soft Skills
 

We value engineers who:

  • Are curious, adaptable, and proactive

  • Learn new tools and technologies quickly

  • Think in systems rather than isolated components

  • Prefer simple solutions over unnecessary complexity

  • Take ownership of engineering quality and long‑term maintainability

  • Combine human judgment with AI‑driven acceleration to deliver high‑quality software

  • Operate with a high degree of autonomy, especially when requirements are vague or evolving

On‑Call Expectations 

This role may include participating in an on‑call rotation, planned in advance and compensated. The goal is to ensure system reliability—not continuous after‑hours work.

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Our Offer:

  • Competitive salary according to industry benchmarks.

  • Benefits: comprehensive health insurance, meal vouchers, ecovouchers, pension plan, company car, Flexible Income Plan

  • Career growth & learning opportunities within a fastscaling SaaS company.

  • Flexibility in working hours and hybrid work options; 2 days a week in office.
    Our Spanish branch is conveniently situated in the Isla de Corfu shopping center, located on Avenida Doctor Jiménez Díaz, 19, 1st floor, box 3, 03005, Alicante.

  • Engaging company culture with team events and international collaboration.

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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.

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Team Info:

You will join an enthusiastic team of 40 engineers based in Spain (global engineering team is 120 people).

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Call to Action:

Ready to become an AI-Native Software Engineer and shape the future of AI-augmented development? 

Click Apply now or share this role with someone in your network.

Benefits

Flexible Work Hours

Flexibility in working hours and hybrid work options; 2 days a week in office.

Health Insurance

Comprehensive health insurance

Team events and international collaboration

Engaging company culture with team events and international collaboration.

Lansweeper offers a comprehensive Technology Asset Intelligence platform that turns raw asset data into actionable insights across IT, OT, and IoT environments. Designed for organizations of all sizes, it empowers teams in IT, security, operations, and finance with full visibility into their technology estate, enhancing decision-making and operational efficiency. What sets Lansweeper apart is its ability to provide a single source of truth for accurate and timely asset management, helping customers navigate the complexities of hybrid infrastructures.

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