Senior Platform Engineer

NODA AI; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision plans

401(k) with company match

Equity grants

Unlimited PTO

Paid holidays

Job summary

NODA AI is seeking a Senior Platform Engineer in Austin to architect and maintain the infrastructure powering our autonomous vehicle orchestration platform. You will own deployment pipelines, automation, and security frameworks across AWS, on‑prem, and edge deployments for DoD‑level resilience.

The role focuses on scalable, secure infrastructure rather than ML ops, with a path toward larger multi‑domain deployments and rigorous security standards.

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.

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.

Skills

Security-minded

Systems thinking

Cross-functional collaboration

Incident response

Python scripting

Bash scripting

CI/CD practices

Automation

Tools

Docker

Kubernetes

AWS

Terraform

Ansible

CloudFormation

GitHub Actions

Jenkins

Linux

Job description

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

Benefits & Perks

Our culture fosters collaboration, respect, and trust, empowering passionate people to do their best work. We offer a competitive salary, comprehensive benefits, and opportunities for career growth. In addition to an opportunity to take part in an innovative, collaborative and fast‑growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation:

• We offer comprehensive medical, dental, and visions plans
• 401(k) Retirement Savings Plan to invest in your long‑term retirement goals + Company match
• Equity grants for new hires
• Unlimited PTO
• 11 Paid holidays
• Extremely generous company holiday calendar, including a holiday hiatus in November, & December.
• Generous Parental Leave
• Military Leave for annual training or service requirements
• FSA
• DCFSA
• HSA
• Professional Development Opportunities
• Access to One Medical
• Mental Health Resources: We provide free mental health resources 24/7 including therapy and more. Additional work‑life services, such as free legal and financial support, are available to you as well.

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.

Export Control Compliance

To conform to U.S. government export control regulations, including the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or otherwise eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Equal Opportunity Statement

NODA AI is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace and to maintaining equitable employment and hiring practices. We provide equal employment opportunities to all applicants and employees and make all employment decisions without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

As a federal contractor, NODA AI complies with all applicable equal employment opportunity and affirmative action requirements, including Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (VEVRAA), as amended. We are committed to providing reasonable accommodations to qualified applicants and employees with disabilities throughout the recruiting, hiring, and employment process.

Consistent with applicable federal, state, and local laws, qualified applicants with criminal histories will be considered for employment in a manner consistent with applicable fair chance and ban‑the‑box laws, including the Fair Chance Initiative for Hiring Ordinance where applicable. We actively encourage qualified individuals of all backgrounds, including women, minorities, protected veterans, and individuals with disabilities, to apply.

NODA AI is committed to fostering an inclusive, supportive, and accessible work environment for all applicants and employees. If you require accommodations or assistance during the application process, please don’t hesitate to reach out to us at [e-mail] or contact your recruiter so we can provide the support you need.