DevOps / MLOps Engineer

NODA AI • Austin, TX

116d

About The Position

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 DevOps / MLOps Engineers are the backbone of our ability to rapidly iterate. They ensure that our agentic AI frameworks, orchestration software, and autonomy stacks move seamlessly from simulation → integration → field environments. Joining NODA means working on meaningful technology that pushes the boundaries of autonomy alongside a team that thrives on innovation, rapid iteration, and collaboration.

Requirements

• 3+ years of DevOps or MLOps engineering experience.
• Proficiency with Kubernetes, Docker, and CI/CD pipelines (GitHub Actions, Jenkins).
• Experience with cloud infrastructure (AWS/Azure/GCP) and on-prem hybrid deployments.
• U.S. Citizenship with the ability to obtain a clearance.

Nice To Haves

• Experience deploying AI/ML models in production (LangChain, transformers, PyTorch).
• Familiarity with agentic AI workflows and emerging AgentOps concepts (agent lifecycle, monitoring, safe deployment).
• Experience with edge compute deployment (Jetson, Pi).
• Exposure to defense/DoD environments and IL-compliant infrastructure.
• Familiarity with ROS2, Gazebo, or robotic middleware.

Responsibilities

• Build and maintain CI/CD pipelines for software deployment across simulation, integration, and field environments.
• Manage containerized microservices (Docker, Kubernetes) with ROS2 integration to support orchestration and autonomy stacks.
• Develop automation for simulation-based validation and swarm-level regression testing.
• Implement MLOps pipelines for updating and validating AI workflows, including prompt/constraint updates.
• Support deployment to edge compute nodes (Jetson, Pi) and tactical environments with constrained bandwidth.
• Implement observability tooling (logs, metrics, telemetry dashboards) to validate multi-domain orchestration.
• Enforce security and compliance standards (DoD IL5/6, Zero Trust, IAM, encryption).
• Contribute to early AgentOps workflows (e.g., prompt versioning, reasoning trace capture, agent replay/debug) in collaboration with AI engineers.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level