Senior Software Engineer - AI-Driven DataCore & Cloud

Lansweeper

Roma

Ibrido

EUR 41.193 - 66.938

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Hybrid work in Rome
Professional growth programs

Descrizione del lavoro

Lansweeper is seeking a Senior Software Engineer to join the Recognition & DataCore Team in Rome, Italy. You will design and maintain cloud-native data pipelines and contribute to AI-augmented development across our platform.

This role offers a hybrid work model in Rome, with 6+ years of experience expected and the chance to influence architecture, data processing, and enterprise-scale systems while collaborating with cross-functional teams.

Competenze

  • 6+ years of experience as a Senior Software Engineer in cloud-based or data-driven systems.

Mansioni

  • 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

Conoscenze

Java
Go
Python
Spark
Spring
TypeScript
AWS
Kubernetes
Docker
Terraform
CircleCI
ArgoCD
Git
Kafka
Hadoop
Cassandra
PostgreSQL
ClickHouse
Mockito
Testcontainers
Localstack
Grafana
OpenSearch

Strumenti

Kubernetes
Docker
Terraform
CircleCI
ArgoCD
Git
Kafka
Hadoop
Cassandra
PostgreSQL
ClickHouse

Descrizione del lavoro

Lansweeper is seeking a Senior Software Engineer to join the Recognition & DataCore Team in Rome, Italy. You will design and maintain cloud-native data pipelines and contribute to AI-augmented development across our platform.

This role offers a hybrid work model in Rome, with 6+ years of experience expected and the chance to influence architecture, data processing, and enterprise-scale systems while collaborating with cross-functional teams.

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