Staff software engineer, infrastructure
Pubblicato il 15-10-2026 - AeroVect in Italia
Who We Are Aero Vect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit As a Staff Software Engineer, Infrastructure (Cloud), you will own the data infrastructure and cloud systems that power Aero Vect's autonomous driving platform. You'll design and scale the pipelines that move operational data from real-world deployments into the systems that drive development, testing, and continuous improvement — ensuring reliability and performance. This is a highly impactful role at the intersection of cloud infrastructure and data engineering. You'll have real ownership — designing systems from the ground up, not inheriting a finished stack. The opportunity to grow into a technical leadership role is real as the team scales. You Will Design, build,
and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry Integrate on-prem and cloud data flows into a cohesive, reliable data architecture Build and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments Implement and manage infrastructure-as-code (Terraform, Cloud Formation) for consistent, automated provisioning Develop internal services and automation tools to streamline data ingestion, processing, and observability Establish and enforce best practices for data reliability, pipeline observability, and system security Drive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience Collaborate with autono