Principal Platform Engineer - Connected Aviation (Remote)

Date Posted:

2026-05-07

Country:

United States of America

Location:

US-AZ-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position.​ The company will not seek an export authorization for this role.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Aviation connects the world and Connected Aviation (CA) connects Aviation. Sustainably. Seamlessly. Securely. Connected Aviation (CA) is a business unit within Collins Aerospace’s Avionics portfolio which aims to bring many connectivity and digital solutions to life and fulfill Connected Ecosystem, one of the strategic pillars of our company.

The Aviation Intelligence (AI) team within CA Engineering has the end-to-end responsibility to ensure that Collins Aerospace and broader RTX data assets are managed with integrity and quality while being consumed by our critical customer facing applications - whether via API’s, analytics and/or data visualizations, or data reporting.  We would like to offer you an opportunity to be a Senior Platform Engineer within our team where you will play an integral role in a high growth and high visibility area of the Collins Aerospace company.

As a Principal Platform Engineer on the Aviation Intelligence team, you will be responsible for leading critical projects and coordination for the department, supporting our Ascentia and FlightAware crews that focus on AI/ML projects, data science and data management.

What You Will Do:

• Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads (Iceberg/Trino, ETL pipelines, Kubeflow/MLflow)

• Design, deploy, and maintain EKS-based services and Kubernetes workloads

• Build and manage Terraform infrastructure across environments (dev/staging/prod)

• Design and maintain CI/CD pipelines for infrastructure and application deployment (GitLab/GitHub)

• 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

Qualifications You Must Have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 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 (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 (Prometheus, Grafana, Thanos, etc.)

Qualifications We Prefer:

• Experience with Kafka Connect

• Experience with Rust or a willingness to learn it.

• Familiarity with Dagster, Airflow or other modern ETL orchestration tools

• Background supporting ML/AI systems in production (MLOps)

• Experience optimizing infrastructure for performance and cost

• Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems

• Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes)

What We Offer: 

Some of our competitive benefits package includes: 

• Medical, dental, and vision insurance 

• Three weeks of vacation for newly hired employees 

• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option 

• Tuition reimbursement program 

• Student Loan Repayment Program 

<