Staff Software Engineer, Infrastructure (Cloud)
AeroVect
Staff Software Engineer, Infrastructure (Cloud)
AeroVect is seeking a Staff Software Engineer, Infrastructure (Cloud) to own the data infrastructure and cloud systems powering its autonomous driving platform. The role involves designing scalable data pipelines, managing AWS-based infrastructure, and building CI/CD systems. Requires 7+ years of experience, strong Python skills, and expertise with Kafka, Kubernetes, and AWS.
Staff Software Engineer, Infrastructure (Cloud)
AeroVect is seeking a Staff Software Engineer, Infrastructure (Cloud) to own the data infrastructure and cloud systems powering its autonomous driving platform. The role involves designing scalable data pipelines, managing AWS-based infrastructure, and building CI/CD systems. Requires 7+ years of experience, strong Python skills, and expertise with Kafka, Kubernetes, and AWS.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key 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