Staff Software Engineer, Infrastructure (Cloud)

AeroVect

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

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.

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
  • Implement and manage infrastructure-as-code using Terraform or CloudFormation
  • 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
  • Collaborate with autonomy and systems engineers to define scalable data interfaces

Requirements

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
  • 7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems
  • Strong proficiency in Python
  • Hands-on experience with Kafka, Kubernetes, and gRPC
  • Deep expertise with AWS cloud services
  • 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 and code review processes

Preferred Qualifications

  • Experience integrating on-prem and cloud data flows in a hybrid infrastructure environment
  • Background in data engineering for robotics, autonomous systems, or real-time operational data
  • Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
  • Familiarity with networking, security, and distributed system performance optimization
  • Experience supporting safety-critical, real-time, or high-availability systems

Skills & tools

PythonAWSKubernetes

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years cloud infrastructure experience
  2. 02Proficiency in Python
  3. 03Experience with Kafka, Kubernetes, and gRPC
  4. 04Deep AWS expertise
  5. 05CI/CD experience
  6. 06Terraform or CloudFormation proficiency
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