Jobs / Collins Aerospace

Senior Principal Platform Engineer - Connected Aviation (Remote)

Collins Aerospace · Olympia, WA, United States · Remote
Olympia, WA, United StatesExp: 7-10 yrs132,400-251,600 USD/yearlyRemote
Remuneration
132,400-251,600 USD/yearly
Location
Olympia, WA, United States · Remote
Eastern Daylight Time (UTC-4)
Visa sponsorship
No visa sponsorship

Job summary

The Senior Principal Platform Engineer will lead critical projects within the Aviation Intelligence team, focusing on AI/ML projects, data science, and data management. Key responsibilities include owning AWS infrastructure, designing and maintaining EKS-based services, and collaborating with Data Science and ML Engineering to productionize models and data pipelines.

Qualifications

  • Typically requires a 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 (EKS, IAM, VPCs, 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
  • Solid understanding of distributed systems, reliability, and scaling
  • Experience supporting production data pipelines or ML systems
  • Experience with observability stacks

Responsibilities

  • 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 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-prem systems
  • Support cyber hardening efforts with our RTX cyber team
  • Identify and incrementally improve existing infrastructure and deployment patterns

Skills

AirflowAWSEKSElasticsearchGitHubGitHub ActionsGitLabGrafanaIAMKafkaKafka ConnectKubernetesPrometheusPythonRustSparkTerraformThanosTrino

Degrees

Degree in Science, Technology, Engineering or Mathematics (STEM)

Relocation

No