Staff Cloud Software Engineer

🕒 April 20

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 50%

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

• Design, build, and operate fault-tolerant production systems on AWS, leveraging services such as ECS, ECR, and EC2 to deliver reliable, scalable applications. • Architect and manage cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices and enabling repeatable, auditable deployments. • Administer and maintain Google Workspace environments, including user provisioning, access control, and security configurations. • Own IAM strategy and user access management across AWS accounts, ensuring least-privilege access and compliance with security policies. • Build and maintain CI/CD pipelines using GitHub Actions and related build and test frameworks, enabling fast, safe, and automated software delivery. • Enforce and continuously improve IT security practices across user accounts, networking, and data and service access controls. • Manage virtualization technologies, PaaS, and SaaS environments within AWS, ensuring availability, performance, and cost efficiency. • Design and maintain systems with fault tolerance and high availability as first-class requirements, using best practices for production resilience. • Work with big data technologies such as DynamoDB to support data storage, retrieval, and processing needs at scale. • Mentor junior and mid-level engineers through code reviews, architectural guidance, and knowledge sharing; actively support engineering growth across the team. • Field and resolve infrastructure and platform support requests, providing timely and effective responses to engineering and operational needs. • Write automation and tooling in Python and Bash to streamline operations and improve developer productivity.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field. • 7+ years of experience building infrastructure and tooling for large-scale cloud operations. • Extensive hands-on experience with AWS development and administration, including ECS, ECR, and EC2. • Deep expertise in AWS IAM and user access management, including roles, policies, permission boundaries, and cross-account access patterns. • Proven experience with Google Workspace administration, including user lifecycle management, security settings, and integrations. • Strong proficiency with Terraform for infrastructure-as-code, including module design, state management, and remote backends. • Significant experience building and maintaining CI/CD pipelines using GitHub Actions and a variety of build, test, and deployment frameworks. • Demonstrated IT security experience spanning user account management, network security, and data and service access governance. • Experience managing virtualization technologies and related PaaS and SaaS solutions in AWS production environments. • A track record of designing and operating fault-tolerant, highly available systems in production at scale. • Experience with big data technologies such as DynamoDB, including data modeling, access patterns, and operational management. • Experience mentoring engineers and fielding platform or infrastructure support requests in a collaborative team environment. • Strong programming skills in Python and Bash for scripting, automation, and operational tooling.

🏖️ Benefits

• Flexible work arrangements • Professional development