Staff Cloud Infra Engineer for Autonomous Data Platform

AeroVect; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

AeroVect is seeking a Staff Software Engineer, Infrastructure (Cloud) to own the data infrastructure and cloud systems powering our autonomous driving platform. You will design and scale pipelines moving operational data from real-world deployments into development, testing, and improvement environments.

This high‑impact role offers true ownership—from building from the ground up to growing into technical leadership as the team scales, in collaboration with autonomy and systems engineers.

Qualifications

• 7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems.
• Strong proficiency in Python with a focus on data pipeline development and automation.
• Hands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systems.
• Deep expertise with AWS cloud services including compute, storage, and data processing.
• Experience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI).
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Experience automating deployments with Terraform or CloudFormation.
• Familiarity with Git-based workflows, code review processes, and collaborative software development.

Responsibilities

• Design, build, and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure.
• Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry.
• Integrate on-prem and cloud data flows into a cohesive, reliable data architecture.
• Build and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments.
• Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning.
• Develop internal services and automation tools to streamline data ingestion, processing, and observability.
• Establish and enforce best practices for data reliability, pipeline observability, and system security.
• Drive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience.
• Collaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies.

Skills

Python

Data pipeline development

Cloud infrastructure

Distributed systems

7+ years experience

Education

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

Tools

Kafka

Kubernetes

gRPC

AWS

Jenkins

GitHub Actions

CircleCI

Docker

Terraform

CloudFormation

Git

Job description

AeroVect is seeking a Staff Software Engineer, Infrastructure (Cloud) to own the data infrastructure and cloud systems powering our autonomous driving platform. You will design and scale pipelines moving operational data from real-world deployments into development, testing, and improvement environments.

This high‑impact role offers true ownership—from building from the ground up to growing into technical leadership as the team scales, in collaboration with autonomy and systems engineers.