Staff Software Engineer, Infrastructure (Cloud)
AeroVect · Remote · Remote · New York City - Hybrid · Italy · Poland · Stockholm · London · Berlin · Amsterdam · Paris · Toronto - Remote · Seattle · Florida - Remote · Frankfurt · United Kingdom (Remote) · Colorado · Vancouver - Remote · Boston - Remote · Mun ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote
- AWS + Kubernetes
- Python focus
- Autonomy sector
Join AeroVect as a Staff Software Engineer focused on Infrastructure and Cloud. You will own the data infrastructure powering the autonomous driving platform, designing systems from the ground up rather than maintaining legacy stacks.
Your work will bridge cloud infrastructure and data engineering, ensuring reliable data flow from real-world deployments to development environments. This position offers significant ownership and the potential to grow into technical leadership as the team expands.
What you'll do
- Design and maintain scalable data pipelines moving operational data to the cloud
- Architect AWS infrastructure for computation, processing, and telemetry
- Integrate on-premise and cloud data flows into a unified architecture
- Build CI/CD pipelines for rapid software delivery and validation
- Manage infrastructure-as-code using Terraform or CloudFormation
- Develop internal tools for data ingestion, processing, and observability
- Enforce best practices for data reliability, security, and pipeline monitoring
- Collaborate with engineers to define scalable data interfaces and deployment strategies
What you'll need
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- 7+ years of experience building cloud infrastructure and data systems
- Strong proficiency in Python for data pipeline development and automation
- Hands-on experience with Kafka, Kubernetes, and gRPC
- Deep expertise with AWS compute, storage, and data processing services
- Experience with CI/CD platforms like Jenkins, GitHub Actions, or CircleCI
- Proficiency with Docker and Kubernetes for containerization and orchestration
- Experience automating deployments with Terraform or CloudFormation
Nice to have
- Experience integrating on-premise and cloud data in hybrid environments
- Background in data engineering for robotics or autonomous systems
- Knowledge of monitoring tools such as Prometheus, Grafana, or ELK Stack
- Familiarity with networking, security, and distributed system optimization
- Experience supporting safety-critical or high-availability real-time systems
Stack
- Python
- AWS
- Kafka
- Kubernetes
- gRPC
- Terraform
- CloudFormation
- Docker
- Jenkins
- GitHub Actions
- CircleCI
How you'll work
- Fully remote position
- Global opportunities available