Software Engineer, Infrastructure

Overview

Join to apply for the Staff Software Engineer, Infrastructure role at Aero Vect
. Aero Vect is transforming ground handling with autonomy, redefining how airlines and ground service providers run day‑to‑day operations. A Series‑A company backed by top‑tier venture capital investors in aviation and autonomous driving.

• Architect, develop, and maintain core infrastructure supporting Aero Vect’s autonomous driving software stack
• Build robust CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real‑world testing environments
• Collaborate closely with autonomy and systems engineers to define scalable software interfaces and deployment strategies
• Design and maintain cloud‑based infrastructure (AWS) for scalable computation, data processing, and system telemetry
• Implement and manage infrastructure‑as‑code (Terraform, Cloud Formation) for consistent, automated provisioning
• Develop automation tools and internal services to streamline developer workflows, integration testing, and operational monitoring
• Establish and enforce best practices for software reliability, observability, and system security
• Drive root‑cause analysis for infrastructure and deployment issues; design long‑term solutions to improve system resilience
• Mentor engineers and influence best practices in infrastructure design, CI/CD, and cloud operations

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 7+ years of experience building infrastructure and tooling for large‑scale robotics or distributed systems
• Strong proficiency in Python, C++, and Bash, with a focus on building automation and tooling
• Hands‑on experience with ROS/ROS2 and robotic software deployment pipelines
• Expertise with CI/CD platforms (Jenkins, Git Hub Actions, Circle
  
  CI)
• Experience managing cloud infrastructure (AWS) and automating deployments with Terraform or Cloud Formation
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Familiarity with Git‑based workflows, code review processes, and collaborative software development practices

• Experience supporting safety‑critical, real‑time, or high‑availability systems
• Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
• Familiarity with networking, security, and distributed system performance optimization
• Background in robotics Dev Ops, including simulation orchestration and data pipeline automation

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