Staff Cloud Software Engineer

You Will

• 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.

You Have

• 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.

We Prefer

• 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.