- 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
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Senior Principal Platform Engineer – Connected Aviation Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
