Senior Software Engineer - Rome
Lansweeper
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Benefits offered by this job
Job summary
Lansweeper in Rome, Italy is seeking a Senior Software Engineer to join the Data Science Team. You will design and maintain cloud-native data processing services using Java and Go, guide AI-assisted workflows, and influence architecture for AI-enabled data systems.
You will collaborate with the data science team to scale pipelines, implement RESTful and GraphQL APIs, and ensure production-grade quality with robust testing and CI/CD practices.
Qualifications
- 6+ years of experience as a Senior Software Engineer in cloud-based or data-driven systems.
- Hands-on experience with AI tools for coding, refactoring, testing, and documentation.
- Strong experience with Java and Go (preferred), or Python, Spark, Spring, TypeScript.
- Strong knowledge of cloud environments (AWS, Kubernetes, Docker, Terraform).
- Experience with CI/CD pipelines (CircleCI, ArgoCD), Git, Kafka, Hadoop, Cassandra.
- Proficiency in SQL and NoSQL databases (PostgreSQL, ClickHouse).
- Experience with testing frameworks (Mockito, Testcontainers, Localstack).
- Familiarity with observability tools (Grafana, OpenSearch).
Responsibilities
- Design and maintain scalable, cloud-native data processing services in Java and Go.
- Work in an AI‑augmented workflow: guide AI tools, evaluate AI‑generated code, and ensure production‑grade quality.
- Own technical decisions and ensure long‑term system health.
- Contribute to architecture design and cross‑team technical strategy.
- Build and optimize ETL pipelines and data enrichment workflows.
- Develop RESTful APIs and GraphQL endpoints.
- Ensure strong test automation, code quality, and CI/CD practices.
- Collaborate closely with engineering and product teams.
Skills
Tools
Job description
We're looking for a
We're looking for a Senior Software Engineer to join our Data Science Team in Rome, Italy. This role sits within a high-performing engineering group tackling complex challenges in cloud-scale data infrastructure — designing and maintaining the cloud-native data pipeline engine that powers the Lansweeper platform. You won’t just maintain systems; you’ll shape how AI and intelligent automation transform how we process and reconcile massive datasets at scale. Your work will directly impact how Lansweeper ingests, processes, and delivers actionable technology asset intelligence globally. You’ll operate at the intersection of distributed systems and AI‑augmented engineering, where judgment matters as much as code.
At Lansweeper, we are building an AI‑native engineering culture. We expect engineers to actively use AI tools across the software development lifecycle — including coding, testing, documentation, and system design. You should be comfortable working with AI‑assisted workflows and continuously evolving how you use them.
- 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
- Drive the evolution of a distributed data pipeline
- Contribute to architecture decisions and next-generation data processing
- Influence how AI is applied to large-scale data systems
- Build systems that scale across thousands of enterprise environments
- Design and maintain scalable, cloud-native data processing services in Java and Go
- Work in an AI‑augmented workflow: guide AI tools, evaluate AI‑generated code, and ensure production‑grade quality
- Own technical decisions and ensure long‑term system health
- Contribute to architecture design and cross‑team technical strategy
- Build and optimize ETL pipelines and data enrichment workflows
- Develop RESTful APIs and GraphQL endpoints
- Ensure strong test automation, code quality, and CI/CD practices
- Collaborate closely with engineering and product teams
- 6+ years of experience as a Senior Software Engineer in cloud-based or data-driven systems
- Hands‑on experience with AI tools for coding, refactoring, testing, and documentation
- Strong experience with Java and Go (preferred), or Python, Spark, Spring, TypeScript
- Strong knowledge of cloud environments (AWS, Kubernetes, Docker, Terraform)
- Experience with CI/CD pipelines (CircleCI, ArgoCD), Git, Kafka, Hadoop, Cassandra
- Proficiency in SQL and NoSQL databases (PostgreSQL, ClickHouse)
- Experience with testing frameworks (Mockito, Testcontainers, Localstack)
- Familiarity with observability tools (Grafana, OpenSearch)
- Strong teamwork and communication skills
- Excellent problem‑solving in distributed systems
- Ownership mindset and comfort working in an agile environment
You’ll join the Data Science Team, an 8‑person engineering unit based in Rome, collaborating with Java Reactive Programming experts and reporting to the Senior Manager of Engineering.
- Salary range: €41,193 – €66,938 gross per year
- Benefits:
- Allowances — Meal vouchers (buoni pasto), typically €7–€10/day
- Time off — Minimum 20 days paid leave + public holidays (national + local)
- Health & protection — Public healthcare system with optional private health insurance, plus life insurance, disability coverage, and mental health support
- Pension — Mandatory state pension contributions with optional supplementary pension plan.
- Work setup — Hybrid working with full telework equipment and flexible working hours
- Career growth and learning opportunities within a fast-scaling SaaS company.
- Extra — Flexible remuneration plan (e.g., meals, transport, childcare), learning & development opportunities, and potential bonus or variable compensation
- Career growth and learning opportunities within a fast-scaling SaaS company
- Company events and international collaboration
We are committed to fair and transparent compensation practices. The salary range for this role is €41,193 – €66,938 gross per year. Final compensation will be determined based on relevant experience, skills, and qualifications, in alignment with internal pay equity and consistent evaluation criteria.
We use AI to support and not replace decision-making during the hiring process. All hiring decisions are made by our talent acquisition team. You can request more information at any time via [email protected]
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 data slows decisions and increases risk. We transform raw asset data into a trusted source of truth so teams can move faster and act with certainty.
Complete visibility across hybrid environments
Enriched asset intelligence with lifecycle and risk context
Automate workflows and enforce policy at scale
From discovery to AI‑powered intelligence, we provide the foundation modern IT and security teams rely on.
- One Team – United across boundaries
- We Care – Customers and people at the center
- We Grow – Learning, sharing, improving
- We Deliver – Focusing on what matters
It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.
Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.
Ready to become an AI‑Native Software Engineer and shape the future of AI‑augmented development?
Apply now or share this opportunity with your network.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
