Senior Principal Platform Engineer – Connected Aviation

• Lead critical projects and coordination for the Aviation Intelligence department
• Support Ascentia and FlightAware teams focused on AI/ML projects, data science, and data management
• Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads
• Design, deploy, and maintain EKS-based services and Kubernetes workloads
• Build and manage Terraform infrastructure across development, staging, and production environments
• Design and maintain CI/CD pipelines for infrastructure and application deployment
• Operate and improve Kafka/Redpanda clusters
• Improve reliability, observability, and performance of prediction services
• Support Dagster for data workflow orchestration
• Collaborate with Data Science, ML Engineering, and Data Engineering to productionize models and data pipelines
• Strengthen AWS IAM, networking, and connectivity between cloud and on-premises systems
• Support cyber hardening efforts with the RTX cyber team
• Identify and incrementally improve existing infrastructure and deployment patterns

Requirements

• Degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years of experience
• Proficiency with Python
• Strong experience with AWS, including EKS, IAM, VPCs, and networking
• Hands-on Kubernetes experience operating production workloads
• Experience managing Kafka or Redpanda in production environments
• Proficiency with Terraform for infrastructure as code
• Experience building and maintaining CI/CD pipelines using GitLab, GitHub Actions, or similar
• Solid understanding of distributed systems, reliability, and scaling
• Experience supporting production data pipelines or ML systems
• Experience with observability stacks such as Prometheus, Grafana, and Thanos
• Experience with Kafka Connect preferred
• Experience with Rust or willingness to learn it preferred
• Familiarity with Dagster, Airflow, or other modern ETL orchestration tools preferred
• Background supporting ML/AI systems in production (MLOps) preferred
• Experience optimizing infrastructure for performance and cost preferred
• Familiarity with Iceberg, Spark, Elasticsearch, and other large-scale data processing systems preferred
• Experience working in hybrid infrastructure environments preferred
• Must be authorized to work in the U.S. without company immigration sponsorship now or in the future
• No security clearance required

Demonstrates expertise in AWS infrastructure management, including EKS and IAM, while leading AI/ML projects and data workflows. Proficient in deploying and maintaining CI/CD pipelines and managing Kubernetes and Kafka/Redpanda clusters to enhance system reliability and performance.

Highest-signal resume keywords

• AWS Infrastructure Management
• Kubernetes Operations
• CI/CD Pipeline DevelopmentTerraform Infrastructure as Code
• Data Pipeline Productionization

ATS Optimization Keywords

Hard Skills

• Python
• AWS
• EKS
• Terraform
• Kubernetes
• Kafka
• Redpanda
• CI/CD
• Data Science
• Machine Learning

Industry Keywords

• MLOps
• Distributed Systems
• Hybrid Infrastructure
• Data Management
• AI/ML Projects

Tools & Technologies

• GitLab
• GitHub Actions
• Prometheus
• Grafana
• Thanos
• Dagster
• Airflow