Full Stack Software Engineer, Amazon Leo Oisl

Amazon Amazon · Big Tech · Redmond, WA · Software Development

Full Stack Software Engineer for Amazon Leo's satellite network SaaS platform. The role involves designing and building multi-layered services for real-time data collection, network analysis, and fault identification. Key responsibilities include developing automated runbook triggers, leveraging ML/AI for anomaly detection, root cause analysis, and impact prediction, and building data-driven KPI systems. The engineer will also provide technical leadership and mentorship.

What you'd actually do

  1. Lead end-to-end automation initiatives to build sophisticated tools and services that address complex network operations, debugging, and troubleshooting challenges.
  2. Collaborate with cross-functional teams to analyze network architecture, stakeholder requirements, and customer needs, delivering software solutions that drive measurable business value.
  3. Design and implement AI/ML solutions leveraging AWS services to enhance space network operations and accelerate problem resolution.
  4. Drive data-driven decision making by building and maintaining network KPI systems, including databases, dashboards, and visualization platforms for performance monitoring and reporting.
  5. Develop full stack products with intuitive front-end visualizations and scalable back-end infrastructure to support them.

Skills

Required

  • JavaScript
  • TypeScript
  • React
  • Angular
  • Vue.js
  • Node.js
  • Python
  • Java
  • RESTful API development
  • database design
  • AWS
  • microservices architecture
  • distributed systems
  • Object Oriented Design
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • software development experience
  • design or architecture experience
  • large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

Nice to have

  • full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • mission-critical
  • end-to-end automation

Other signals

  • leveraging machine learning and generative AI to detect anomalies
  • perform root cause analysis
  • predict customer impact
  • Design and implement AI/ML solutions leveraging AWS services