Senior Principal Platform Engineer – Connected Aviation

Darum lohnt es sich

• 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