Senior Principal Platform Engineer – Connected Aviation

🔥 13 hours ago

☕ Washington – Remote

☕ Washington – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 0%

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 Description

• Lead critical projects and coordination for the Aviation Intelligence department • 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 • Support Ascentia and FlightAware teams focused on AI/ML projects, data science, and data management

🎯 Requirements

• 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, 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 • Must be authorized to work in the U.S. without company immigration sponsorship now or in the future • No security clearance required

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection • Birth, adoption, and parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives wellness rewards program • Doctor on Demand virtual doctor visits • Bright Horizons child and elder care services • Teladoc Medical Experts second opinion program • Flexible work schedules • Flexible spending accounts • Employee Scholar Program • Paid time off and holidays • Potential eligibility for annual short-term and/or long-term incentive compensation programs (not guaranteed) • Remote work primarily from home; travel to the site location as needed