Level

Amazon

Senior Software Engineer , Amazon Leo - Network Observability

AI in this role

Design and deliver scalable network observability platforms and establish AI/ML foundation layers for Amazon's Low Earth Orbit satellite network.

awsmachine-learning
ai-automationdistributed-systemsnetwork-observabilitysoftware-architecture
Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world — from individual households to schools, hospitals, businesses, and government agencies.

The Leo Network Observability team designs, implements and operates the software stack to manage beam planning, network health views, data plane services and Applications with AI native initiatives that provides a high throughput telecom service comprised of Low Earth Orbit satellites, customer terminals, gateways, cloud services and terrestrial network infrastructure that connects into public and private networks.

We are looking for a Sr. Software Engineer to serve as the technical leader for Network Observability for an advanced global telecom service via both space and terrestrial networks.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities
*Architect and deliver a scalable, end-to-end platform supporting network observability.

*Design and implement distributed orchestration systems that coordinate across dozens of domain-specific internal and external services, ensuring reliable end-to-end workflow execution at scale.

* Establish the AI/ML foundation layer, including knowledge base architectures and intelligent automation frameworks, to accelerate developer productivity and reduce time-to-market.

* Tackle novel, ambiguous technical challenges at the intersection of artificial intelligence, large-scale distributed systems, and network domain complexity, delivering production-grade solutions with high operational bar.


A day in the life
As a Senior Software Development Engineer (SDE III) on the Network Observability team, you will own the design, development, and technical leadership of end-to-end system that provides network health, monitoring and alerting at region, cell and individual customer terminal levels, spanning requirements definition, implementation, test automation, and production validation. You will enable Amazon Leo to launch highly available internet service across 100+ global markets.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Engineer , Amazon Leo - Network Observability at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AutomationDistributed SystemsNetwork ObservabilitySoftware ArchitectureAWSMachine Learning

Questions you could be asked

  1. Tell me about a workflow you automated with AI tools, end to end.
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where network observability was part of your work. What did you do?
  4. Tell me about a project where software architecture was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Automation, Distributed Systems, Network Observability, Software Architecture, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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