Staff Cloud Software Engineer

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AeroVect

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

🚀 Luft- und Raumfahrt

🚗 Transport

🤖 Künstliche Intelligenz

💰 Seed Round im 2022-07

Aerospace • Transport • Artificial Intelligence

AeroVect ist ein Technologieunternehmen, das sich auf fortschrittliche Automatisierung für Bodenabfertigungsgeräte (Ground Support Equipment, GSE) in der Luftfahrtindustrie spezialisiert hat. Das Flaggschiff-Produkt des Unternehmens, AeroVect Driver, ist ein hoch skalierbares, herstellerunabhängiges automatisiertes Fahrsystem, das entwickelt wurde, um Sicherheit, Produktivität und Nachhaltigkeit in Bodenabfertigungsoperationen zu verbessern. Vertraut von führenden Fluggesellschaften und Abfertigern, zielt AeroVect darauf ab, die Abläufe auf dem Vorfeld mit seiner erstklassigen Selbstfahrtechnologie, entwickelt im Silicon Valley für den globalen Luftfahrtmarkt, zu revolutionieren.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Flexible work arrangements • Professional development