Staff Software Engineer, Infrastructure, Cloud

🕒 August 5

🏄 California, Colorado, +5 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

⏰ Full Time

🔴 Lead

👷 Infrastructure Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AeroVect

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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