AeroVect logo
AeroVect

The world's most advanced autonomous driving system for GSE

Staff Cloud Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

36 days ago

Salary

0

Seniority

Lead

Bachelor Degree7 yrs expEnglishAWSCloudDynamoDBEC2PythonTerraform

Job Description

Staff Cloud Software Engineer

AeroVect

• 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.

Job 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

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