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# Platform Engineer

- **Company:** Noda AI Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Audit Trail, Bash Shell, CompTIA Security+, Data Centers, Software Debugging, DevOps, Disaster Recovery, Distributed Systems, Middleware, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Networking Basics, Raspberry Pi, Cloud Services, Ansible, Prometheus, Zero Trust Network Access, Software Deployment, Management of Software Versions, Real Time Systems, Istio, Delivery Pipeline, Grafana, Amazon Virtual Private Cloud (VPC), Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Deployment Automation, Machine Learning Operations, Multiaccess Edge Computing, Terraform, Docker, Elk Stack, Jenkins, Microservices
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-platform-engineer-noda-ai-8137411

## About the Role

* 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 CloudFormation)
 * Knowledge of Linux system administration and networking fundamentals
 * Understanding of security best practices for enterprise and government environments
 * Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, or similar)
 * Strong scripting abilities in Python, Bash, or similar languages
 * U.S. Citizenship with the ability to obtain a security clearance, * CompTIA Security+ and Network+ certifications (required for DoD infrastructure administration)
 * Experience with Kubernetes orchestration and service mesh technologies
 * Familiarity with DoD security standards and compliance frameworks (IL4/IL5, STIG, FedRAMP)
 * Experience deploying software to embedded or edge computing platforms (Jetson,
 * Raspberry Pi, tactical computers)
 * Knowledge of ROS2 middleware and robotics software deployment patterns
 * Background in defense, aerospace, or mission-critical infrastructure environments
 * Experience with tactical networking and field deployment operations
 * Familiarity with zero-trust architecture and secure communications protocols
 * Previous work with real-time systems and low-latency networking requirements
 * Familiarity with contracts and schema/versioning for middleware services (e.g., ROS 2), * InfrastructurePragmatic automation obsessive: passionate about eliminating manual processes; crisp docs/runbooks; calm in incidents; cross-team collaboration
 * Infrastructure automation obsessive: passionate about eliminating manual processes and human error
 * Security-first mindset with deep understanding of compliance and audit requirements
 * Systems thinker able to design resilient infrastructure across cloud, on-premises, and edge environments
 * Collaborative team player who thrives working with engineering, AI, and field operations teams
 * Detail-oriented problem solver comfortable with debugging complex distributed systems
 * Adaptable to rapid iteration cycles while maintaining security and reliability standards
 * Field-ready: willing to support deployments and troubleshoot issues in various operational environments

## Description

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 software across AWS cloud, on-premises data centers, and 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., * 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-premises deployments, and edge device provisioning for autonomous vehicle fleets
 * Develop infrastructure automation and configuration management tools to ensure consistent, repeatable deployments
 * Implement and maintain DoD IL4/IL5 security compliance, including encryption, access controls, and audit logging
 * Build internal tooling and CLI utilities to improve developer productivity and deployment reliability
 * Design observability and monitoring systems for distributed autonomous vehicle orchestration across multiple domains
 * Ensure infrastructure resilience and disaster recovery capabilities for mission-critical deployments
 * Collaborate with engineering teams to optimize deployment strategies for constrained edge computing environments
 * Support field deployment operations and troubleshoot infrastructure issues during customer demonstrations


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