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Senior Platform Engineer

NODA AI
Austin, TX

Apply Now

Job Details

Full-time

Benefits

Dental insurance
Paid time off
Vision insurance

Qualifications

Containerization systems
Linux support
Infrastructure as Code (IaC)
IT system monitoring
Programming languages
Data Security (Data management)
Monitoring system implementation
Cloud automation
Network monitoring tools
DevOps automation
Cloud monitoring
Linux administration

Full Job Description

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 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.

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-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

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 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

Preferred Qualifications

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)

Skills & Attributes

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

What We Offer

Hybrid work environment
Competitive pay
Flexible time off
Generous PTO policy
Federal holidays
Generous health, dental, and vision benefits
Free OneMedical membership

Growth Path at NODA

Staff Platform/DevOps / MLOps Engineer – own CI/CD and field deployment infrastructure.
Infra & Ops Lead – architect deployment pipelines for scaling multi-domain, agentic orchestration.

We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.

Apply Now

Refine Your Search

unmanned and autonomous systems software engineer jobs in austin, tx

Senior Platform Engineer

Machine Learning Engineer, Senior

Senior Quality Software Engineer

Senior Software Engineer

Product Designer

Senior Full Stack Engineer

Developer Experience Engineer

Embedded Engineer (BSP), Staff

Field Operations Specialist

Senior Integration Engineer

Senior Mission Simulation Engineer

Senior Solution Engineer / Solution Architect

Tactical Communications & Networking Engineer

R&D Test Technician

Software Engineer (Embedded Systems)

Test Team Deputy Director

VP / Director of Finance

End of Line Mechanical Technician

End of Line Electrical Technician

Manager, Perception Hardware Engineering

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