
11 - 50 employees
📦 Logistics
💼 Consulting
🚀 Aerospace
💰 Seed Round on 2022-07
Logistics • Consulting • Aerospace
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
🕒 August 5
🏄 California, Colorado, +5 more states – Remote
⏰ Full Time
🔴 Lead
👷 Infrastructure Engineer
👻 Ghost score 42%
Where this job comes from
Posted on AeroVect's careers page, not through a job board
First seen by Remote Rocketship August 5
Still open on AeroVect's site. Checked 10 hours ago.

11 - 50 employees
📦 Logistics
💼 Consulting
🚀 Aerospace
💰 Seed Round on 2022-07
Logistics • Consulting • Aerospace
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
• Own the data infrastructure and cloud systems powering AeroVect's autonomous driving platform • Design and scale pipelines moving operational data from real-world deployments into development, testing, and continuous-improvement systems • Design, build, and maintain scalable data pipelines from on-premises systems into cloud infrastructure • Architect and manage AWS cloud infrastructure for scalable computation, data processing, and system telemetry • Integrate on-premises and cloud data flows into a cohesive, reliable data architecture • Build and maintain CI/CD pipelines for software delivery and validation across simulation and real-world testing environments • Implement and manage infrastructure-as-code using Terraform and CloudFormation • Develop internal services and automation tools for data ingestion, processing, and observability • Establish and enforce best practices for data reliability, pipeline observability, and system security • Lead root-cause analysis for data infrastructure and pipeline issues and design long-term resilience improvements • Collaborate with autonomy and systems engineers on scalable data interfaces and cloud deployment strategies
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field • 7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems • Strong proficiency in Python for data pipeline development and automation • Hands-on experience with Kafka, Kubernetes, and gRPC for scalable, high-throughput data systems • Deep expertise with AWS cloud services, including compute, storage, and data processing • Experience with CI/CD platforms such as Jenkins, GitHub Actions, and CircleCI • Proficiency with Docker and Kubernetes containerization and orchestration • Experience automating deployments with Terraform or CloudFormation • Familiarity with Git-based workflows, code reviews, and collaborative software development
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