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
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