Staff Software Engineer, Infrastructure (Cloud)

AeroVect; Frankfurt; Hybrid; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

AeroVect is transforming ground handling with autonomy. We seek a Staff Software Engineer, Infrastructure (Cloud) to own data pipelines and cloud systems powering our autonomous driving platform.

You design scalable pipelines and cloud infrastructure, enabling reliable data flows from real-world deployments to development and testing environments. Lead CI/CD, IaC, and observability tooling, working with autonomy and systems engineers to ensure performance, security, and resilience across

Qualifikationen

• 7+ years of experience building cloud infrastructure and data systems.
• Strong Python experience for data pipelines and automation.
• Hands-on with Kafka, Kubernetes, and gRPC for scalable data systems.
• Deep AWS expertise across compute, storage, and data processing.
• Experience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI).
• Background designing scalable, reliable data architectures.

Aufgaben

• Design, build, and maintain scalable data pipelines moving operational data into cloud infrastructure.
• Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and telemetry.
• Integrate on-prem and cloud data flows into a cohesive, reliable data architecture.
• Develop CI/CD pipelines for rapid, reliable software delivery across simulations and testing environments.
• Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent provisioning.
• Develop internal services and automation tools to streamline data ingestion and observability.
• Drive data reliability, pipeline observability, and system security practices.

Kenntnisse

Python

Kafka

Kubernetes

AWS

CI/CD

Data pipelines

Ausbildung

Bachelor's or Master's in CS/EE

Tools

Docker

GitHub Actions

Jenkins

CircleCI

Terraform

CloudFormation

Jobbeschreibung

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 (Cloud), you will own the data infrastructure and cloud systems that power AeroVect's autonomous driving platform. You'll design and scale the pipelines that move operational data from real-world deployments into the systems that drive development, testing, and continuous improvement — ensuring reliability and performance.

This is a highly impactful role at the intersection of cloud infrastructure and data engineering. You'll have real ownership — designing systems from the ground up, not inheriting a finished stack. The opportunity to grow into a technical leadership role is real as the team scales.

You Will

• 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

You Have

• 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 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

We Prefer

• 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