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Senior Platform Engineer

Join NODA AI as a Senior Platform Engineer to architect and maintain infrastructure for autonomous vehicle orchestration in a hybrid role.

Location
Austin
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 5 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 14 hours ago

Apply at NODA AI → Save job Scanned from nodaintelligence.ai

Requirements

Experience
5+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Mental Health Resources Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Senior Platform Engineer at NODA AI is responsible for architecting and maintaining the infrastructure that supports the company's autonomous vehicle orchestration platform. This role requires expertise in CI/CD pipeline design, AWS cloud services, and container orchestration, particularly with Docker and Kubernetes. Ideal candidates will have over five years of experience in platform engineering or DevOps, with a strong background in security compliance for defense environments. NODA AI emphasizes innovation and collaboration, making it a fitting environment for those passionate about advancing autonomous technology.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on NODA AI's careers page October 27, 2026.
  • Kubernetes appears in 70.3% of 182 comparable senior devops/sre roles in United States; ELK appears in 1.6% of 182 comparable senior devops/sre roles in United States.

Quick facts

Is the Senior Platform Engineer role remote?
It's hybrid — NODA AI expects some on-site time in Austin.
How much experience is required?
At least 5 years of relevant experience for this Senior Platform Engineer role.
Where is the role based?
NODA AI is hiring for this position in Austin.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Ansible, CI/CD, Docker, ELK, Grafana.
What seniority level is this role?
NODA AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Platform Engineer role at NODA AI.

From the original posting

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

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.

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

  • Due to the nature of the position, U.S. citizenship is required due to ITAR regulations, along with the ability to obtain and maintain a DoD 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

  • We offer premium medical, dental, and vision coverage with zero paycheck premiums for you and your family

  • Equity grants for new hires

  • Unlimited PTO

  • 11 Paid holidays

  • Generous Parental Leave

  • FSA

  • DCFSA

  • HSA

  • Professional Development Opportunities

  • Access to One Medical

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.

 
 
 

Standard company text repeated across NODA AI's postings is omitted here.

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