aerovect - Staff Cloud Software Engineer
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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. • Experience with additional AWS services including Lambda, Batch, SageMaker, and VPC design and management. • Experience with CloudFormation for automated provisioning. • Experience working with Autonomy or Robotics infrastructure. • Hands-on experience with ROS/ROS2 and robotic software deployment pipelines. • Proficiency in C++ development for performance-critical systems or systems programming contexts. • Experience working with AI in development support and project execution. • Engineering management or team lead experience, with a history of guiding technical direction and supporting team growth. • Familiarity with cloud cost optimization strategies. • Experience with cloud visualization, analytics, metrics, and dashboarding tools for operational visibility and observability. • Proficiency with Agile development methodologies and KPI-driven engineering practices. • Hands-on experience with Kubernetes, Docker, and Jenkins for container orchestration and legacy CI/CD workflows.
Responsibilities
• 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.
No credit card. Takes 10 seconds.