Staff Software Engineer, Infrastructure (Cloud)

ppbWho We Are /b /ppAeroVect 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 /ppAs 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. /ppThis 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. /ph3You Will /h3ulliDesign, build, and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure /liliArchitect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry /liliIntegrate on-prem and cloud data flows into a cohesive, reliable data architecture /liliBuild and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments /liliImplement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning /liliDevelop internal services and automation tools to streamline data ingestion, processing, and observability /liliEstablish and enforce best practices for data reliability, pipeline observability, and system security /liliDrive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience /liliCollaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies /li /ulh3You Have /h3ulliBachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field /lili7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems /liliStrong proficiency in Python with a focus on data pipeline development and automation /liliHands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systems /liliDeep expertise with AWS cloud services including compute, storage, and data processing /liliExperience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI) /liliProficiency with containerization and orchestration (Docker, Kubernetes) /liliExperience automating deployments with Terraform or CloudFormation /liliFamiliarity with Git-based workflows, code review processes, and collaborative software development /li /ulh3We Prefer /h3ulliExperience integrating on-prem and cloud data flows in a hybrid infrastructure environment /liliBackground in data engineering for robotics, autonomous systems, or real-time operational data /liliKnowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack /liliFamiliarity with networking, security, and distributed system performance optimization /liliExperience supporting safety-critical, real-time, or high-availability systems /li /ul /p #J-18808-Ljbffr