Staff Software Engineer, Infrastructure (Cloud)

Who We Are AeroVect 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 www.aerovect.com. As a Staff Software Engineer, Infrastructure (Cloud), you will own the data infrastructure and cloud systems that power AeroVect'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 infrastructureArchitect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetryIntegrate on-prem and cloud data flows into a cohesive, reliable data architectureBuild and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environmentsImplement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioningDevelop internal services and automation tools to streamline data ingestion, processing, and observabilityEstablish and enforce best practices for data reliability, pipeline observability, and system securityDrive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilienceCollaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies You Have Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field7+ years of experience building cloud infrastructure and data systems for large-scale distributed systemsStrong proficiency in Python with a focus on data pipeline development and automationHands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systemsDeep expertise with AWS cloud services including compute, storage, and data processingExperience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI)Proficiency with containerization and orchestration (Docker, Kubernetes)Experience automating deployments with Terraform or CloudFormationFamiliarity with Git-based workflows, code review processes, and collaborative software development We Prefer Experience integrating on-prem and cloud data flows in a hybrid infrastructure environmentBackground in data engineering for robotics, autonomous systems, or real-time operational dataKnowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK StackFamiliarity with networking, security, and distributed system performance optimizationExperience supporting safety-critical, real-time, or high-availability systems