Staff Software Engineer, Infrastructure (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer, Infrastructure (AWS): Designing and scaling data pipelines and cloud systems for an autonomous driving platform with an accent on reliability and performance. Focus on building scalable computation systems, integrating on-prem and cloud data flows, and implementing infrastructure-as-code.
Location: Remote (US, Canada, Europe) or Hybrid in Atlanta, NYC, or South San Francisco
Company
is a Series A startup transforming ground handling through autonomy for airlines and ground service providers globally.
What you will do
- Design and maintain scalable data pipelines to move operational data from on-prem systems to AWS cloud infrastructure.
- Architect cloud-based systems for scalable computation, data processing, and system telemetry.
- Build and manage CI/CD pipelines for rapid software delivery across simulation and real-world testing environments.
- Implement infrastructure-as-code using Terraform and CloudFormation for automated provisioning.
- Develop internal services and automation tools to streamline data ingestion and observability.
- Collaborate with autonomy and systems engineers to define scalable data interfaces and deployment strategies.
Requirements
- 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.
- Deep expertise with AWS cloud services (compute, storage, and data processing).
- Proficiency with containerization (Docker) and CI/CD platforms (Jenkins, GitHub Actions, or CircleCI).
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Nice to have
- Experience integrating on-prem and cloud data flows in a hybrid environment.
- Background in data engineering for robotics, autonomous systems, or real-time operational data.
- Knowledge of monitoring tools such as Prometheus, Grafana, or the ELK Stack.
- Experience supporting safety-critical, real-time, or high-availability systems.
Culture & Benefits
- Work at a high-growth Series A company backed by top-tier aviation and autonomous driving VCs.
- High level of ownership, designing systems from the ground up rather than inheriting a finished stack.
- Clear path to technical leadership as the engineering team scales.
- Opportunity to work at the intersection of cloud infrastructure and cutting-edge autonomous robotics.
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