Staff Cloud Data Infrastructure Engineer

AeroVect; South San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

AeroVect is transforming ground handling with autonomy and cloud-based data infrastructure. We are seeking a Staff Software Engineer, Infrastructure to own data pipelines and cloud systems powering our autonomous platform.

You will design scalable data flows, manage AWS infrastructure, and drive observability and reliability across deployment environments. A strong background in data engineering and distributed systems is essential for this role.

Qualifications

• Require strong background in building cloud data infrastructure and pipelines.
• Experience with large-scale distributed systems and data movement.
• Proven ability to design scalable, reliable cloud architectures.

Responsibilities

• Design, build, and maintain scalable data pipelines moving data from on-prem to cloud
• Architect and manage AWS-based infrastructure for scalable computation and data processing
• Integrate on-prem and cloud data flows into a cohesive data architecture
• Build and maintain CI/CD pipelines for reliable software delivery
• Implement infrastructure-as-code with Terraform and CloudFormation
• Develop internal services and automation for data ingestion and observability
• Establish best practices for data reliability and pipeline observability
• Lead root-cause analysis for data infrastructure issues
• Collaborate with autonomy and systems engineers on data interfaces and deployment

Skills

Python

Distributed systems

Data pipelines

Cloud infrastructure

Kafka

gRPC

Kubernetes

CI/CD

Education

Bachelor's or Master's in CS/EE or related field

Tools

Kafka

Kubernetes

Docker

Terraform

CloudFormation

Jenkins

GitHub Actions

CircleCI

Job description

AeroVect is transforming ground handling with autonomy and cloud-based data infrastructure. We are seeking a Staff Software Engineer, Infrastructure to own data pipelines and cloud systems powering our autonomous platform.

You will design scalable data flows, manage AWS infrastructure, and drive observability and reliability across deployment environments. A strong background in data engineering and distributed systems is essential for this role.