Staff Software Engineer, Infrastructure

AeroVect; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A cutting-edge technology firm in Toronto seeks a Staff Software Engineer, Infrastructure to lead the design and scaling of systems for its autonomous driving platform. The role includes developing CI/CD pipelines, maintaining AWS cloud infrastructure, and mentoring engineers. Ideal candidates will have 7+ years in building large-scale infrastructure, strong Python and C++ skills, and hands-on experience with robotics software. This position offers a chance to impact the future of ground handling services.

Qualifications

• 7+ years of experience building infrastructure and tooling for large-scale robotics or distributed systems.
• Hands-on experience with ROS/ROS2 and robotic software deployment pipelines.
• Experience managing cloud infrastructure (AWS) and automating deployments.

Responsibilities

• Architect, develop, and maintain core infrastructure supporting autonomous driving software stack.
• Build robust CI/CD pipelines for rapid, reliable software delivery.
• Collaborate with engineers to define scalable software interfaces and deployment strategies.

Skills

Python

C++

Bash

CI/CD

AWS

Terraform

Docker

Kubernetes

ROS/ROS2

Education

Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field

Tools

AWS

Terraform

CloudFormation

Jenkins

GitHub Actions

CircleCI

Job description

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

As a Staff Software Engineer, Infrastructure, you will own the core systems that power AeroVect’s autonomous driving platform. You’ll design and scale infrastructure that supports development, testing, and deployment across the full autonomy stack — ensuring reliability, performance, and seamless integration between software and real-world robotic systems.

This is a highly impactful, cross-functional role at the intersection of robotics software, DevOps, and cloud infrastructure. You’ll help define technical strategy, architect scalable systems, and mentor engineers while advancing the robustness of AeroVect’s production autonomy platform.

You Will

• Architect, develop, and maintain core infrastructure supporting AeroVect’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, CloudFormation) 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

You Have

• 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, GitHub Actions, CircleCI)

• Experience managing cloud infrastructure (AWS) and automating deployments with Terraform or CloudFormation

• Proficiency with containerization and orchestration (Docker, Kubernetes)

• Familiarity with Git-based workflows, code review processes, and collaborative software development practices

We Prefer

• 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 DevOps, including simulation orchestration and data pipeline automation