Senior Platform Engineer

Senior Platform Engineer – NODA AI Location: Austin, TX (Hybrid on-site, with up to 10% travel) Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance About NODA NODA is a veteran-owned, venture-backed technology company that is transforming how unmanned systems collaborate in complex, mission-critical environments. We are developing next-generation solutions that enable the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors. Our Platform Engineers are the backbone of our ability to rapidly iterate and deploy mission-critical software across diverse environments. They ensure our orchestration software and autonomy stacks move seamlessly from development to cloud, on-premises, and edge deployments with the reliability our defense and commercial customers demand. Joining NODA means working on meaningful technology that pushes the boundaries of autonomy alongside a team that thrives on innovation, rapid iteration, and collaboration. The Role We are seeking a Senior Platform Engineer to architect and maintain the infrastructure foundation that powers our autonomous vehicle orchestration platform. You'll own the deployment pipelines, infrastructure automation, and security frameworks that enable our engineering teams to deliver so [... source excerpt omitted ...] edge computing environments on autonomous vehicles. This role focuses on building scalable, secure, and compliant infrastructure systems rather than machine learning operations. You'll work closely with our engineering teams to ensure rapid, reliable deployments while meeting stringent DoD security requirements and maintaining operational resilience in contested environments. Key Responsibilities Design and maintain CI/CD pipelines for deploying ROS2-based microservices and orchestration software across multiple environments Implement container orchestration using Docker, with a growth path toward Kubernetes as the platform scales Manage AWS cloud infrastructure, on-premi [... source excerpt omitted ...] engineering teams to optimize deployment strategies for constrained edge computing environments Support field deployment operations and troubleshoot infrastructure issues during customer demonstrations Required Qualifications 5+ years of professional experience in platform engineering, DevOps, or infrastructure automation Expert-level proficiency with Docker containerization and container orchestration concepts Strong experience with AWS cloud services (EC2, ECS, S3, VPC, IAM, CloudFormation/Terraform) Proficiency with CI/CD pipeline design and implementation (GitHub Actions, Jenkins, or similar) Experience with infrastructure as code (Terraform, Ansible, or CloudFormati