Director of DevSecOps

Requirements

10+ years of experience in software engineering, with significant experience in AI/ML, autonomy, or robotics

Proven track record in hands‑on technical leadership roles

Deep expertise in building tools, platforms, and infrastructure for AI/ML development and deployment

Strong understanding of distributed systems, cloud infrastructure, CI/CD, and developer tooling

Experience integrating AI/ML algorithms into real‑time or safety‑critical systems is highly preferred

Background in robotics, autonomy, aerospace, or related fields is a strong plus

Passion for advancing the future of aviation and autonomous flight

What the job involves

We are seeking a highly skilled and hands‑on Software AI Ops & Tools Lead to drive the development, integration, and optimization of advanced software systems that power our next‑generation eVTOL aircraft

This role sits at the intersection of AI, autonomy, infrastructure, and engineering operations—playing a critical part in shaping the future of urban air mobility

As a technical leader, you will architect and implement scalable tools, platforms, and workflows that enable our engineering teams to build, test, and deploy intelligent, safety‑critical software

You will work closely with cross‑functional partners across Autonomy, Machine Learning, Flight Software, Infrastructure, and Systems Engineering to ensure our AI‑driven capabilities are robust, reliable, and production‑ready

This is a hands‑on leadership position for someone who thrives in fast‑paced environments, enjoys solving complex technical challenges, and wants to make a direct impact on the future of aviation

Lead the vision, roadmap, and execution for AI‑driven software tools, infrastructure, and operational workflows

Provide hands‑on technical leadership while mentoring and developing a high‑performing engineering team

Partner with Autonomy, ML, Software, and Infrastructure teams to define requirements and deliver scalable solutions

Drive best practices in software development, testing, deployment, and monitoring for AI‑enabled systems

Build and maintain tools and pipelines that support AI/ML model development, simulation, validation, and deployment

Develop systems that integrate AI and autonomy algorithms into flight‑critical and mission‑critical software stacks

Ensure reliability, traceability, and performance of AI/ML components across the full lifecycle—from research to production

Design and implement scalable infrastructure for data processing, model training, simulation, and continuous integration

Develop internal tools that improve developer productivity, system observability, and operational efficiency

Own the end‑to‑end software operations ecosystem, including build systems, testing frameworks, and deployment pipelines

Ensure compliance with aviation‑grade safety, reliability, and certification requirements

Work closely with hardware, systems, and flight test teams to ensure seamless integration of AI‑enabled software

Collaborate with leadership to align technical decisions with company‑wide goals and aircraft development milestones

Communicate complex technical concepts clearly to both technical and non‑technical stakeholders

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