Senior Engineer

Context & Impact 

We’re looking for a Senior Software Engineer to join our Recognition & DataCore Team in Rome, Italy. 
This role sits within a growing engineering group working on complex cloud computing challenges — designing and maintaining the cloud native data pipeline engine that powers the Lansweeper platform.  

Your work will directly impact how Lansweeper ingests, processes, enriches, and reconciles massive asset and inventory datasets across customer environments worldwide. 

In the short term, you’ll focus on evolution and maintenance of our distributed data pipeline. In the long run, you’ll contribute to architecture improvements, new data processing capabilities, and platform scalability to support our next generation of technology asset intelligence. 

Challenge 

The main challenges you'll face are:  

• Enhancing and maintaining a high performance data pipeline for Lansweeper Discovery and the broader Lansweeper Platform  

• Tackling complex ETL, enrichment, and data reconciliation problems in a cloud environment  

• Working within a largescale distributed architecture to continuously improve performance, quality, and reliability 

Key Responsibilities 

• Design, develop, and maintain scalable, cloud native data processing services in Java and Go  

• Implement and optimise ETL workflows and data enrichment pipelines  

• Build RESTful APIs, GraphQL endpoints, and backend integrations  

• Collaborate closely with engineers and product teams to deliver stable, maintainable code  

• Ensure test automation, code quality, and CI/CD best practices across the data platforms 

Requirements

Hard Skills: 

• 6+ years of software engineering experience, ideally as a Senior Software Engineer in cloudbased or datadriven systems  

• Handson experience with Java, Go, Python, Spark, Spring, and TypeScript  

• Strong knowledge of cloud environments (AWS, Kubernetes, Docker, Terraform)  

• Familiar with CI/CD pipelines (CircleCI, ArgoCD), Git, Kafka, Hadoop, and Cassandra  

• Proficient in SQL and NoSQL databases (PostgreSQL, ClickHouse)  

• Experience with testing frameworks (Mockito, Testcontainers, Localstack) and observability tools (Grafana, OpenSearch) 

Soft Skills: 

• Excellent teamwork and communication skills  

• Strong problemsolving ability in complex, distributed systems  

• Ownership mindset and comfort operating in an agile and collaborative environment 

Our Offer 

• Competitive salary aligned with market benchmarks in Italy  

• Benefits package including health insurance and meal vouchers  

• Hybrid working model – based in Rome with flexibility to work from home  

• Professional growth and learning programs  

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

Team Info 

You’ll join the Recognition & DataCore Team, an 8person engineering unit based in Rome, collaborating closely with Java Reactive Programming experts and reporting to our Senior Manager of Engineering.  

Call to Action 

Ready to join us? 
👉 Click Apply now or share this opportunity with someone in your network who could be a great fit.