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Amazon

Software Development Engineer, Network Monitoring and Remediation (NMR)

Amazon is hiring a Software Development Engineer, Network Monitoring and Remediation (NMR) in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • The posting mentions Python, Machine learning and distributed systems among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 21,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Build streaming data pipelines and automated remediation tools while exploring generative AI for network monitoring.

pythonmachine-learning
distributed-systemsstreaming-dataautomation
Amazon's network carries traffic for hundreds of millions of customers, and the Network Monitoring and Remediation (NMR) team keeps it healthy. As a Software Development Engineer II on NMR, you will build streaming data pipelines, automated remediation services, and diagnostic tooling that detect and resolve network impairments before customers ever notice. You will work across the full software development lifecycle, turning ambiguous problems into well-designed, maintainable solutions. If you are a collaborative engineer who enjoys solving hard distributed-systems problems and mentoring teammates along the way, this is a role where your code has real, measurable impact every single day.

Key job responsibilities
- Design and build streaming data pipelines that ingest network telemetry at scale, and develop the automated remediation services that act on those signals in real time.
- Create and improve diagnostic tooling that helps network operators quickly identify and resolve the issues automation has not yet addressed.
- Participate actively in code reviews, provide constructive feedback to teammates, and mentor other engineers on writing well-documented, reliable software.
- Collaborate with network engineers, data scientists, and product partners to translate operational needs into clear system designs and working solutions.
- Identify root causes of operational issues, drive improvements to your team's technical processes, and evaluate new tools and approaches, including generative AI, to raise productivity and code quality.

A day in the life
You will start your day reviewing operational metrics and triaging any alerts from overnight deployments. From there you might write and test code for a new remediation workflow, then join a design discussion where you and your teammates sketch out approaches to an ambiguous detection problem. Later you could pair with a network engineer to validate telemetry signals or review a pull request from a newer team member. Your work blends deep technical problem-solving with regular collaboration across engineering and operations.

About the team
Network Monitoring and Remediation (NMR) prevents, predicts, detects, and remediates network impairments before they reach customers. Our systems ingest trillions of telemetry data points daily from millions of network devices, apply streaming analytics and ML/AI to surface actionable signals, and drive automated mitigation through our event management platform. Today, over 98% of detected issues are resolved without human intervention. Our vision is a future where every network failure is pre-emptively resolved by autonomous systems, with zero customer impact.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications

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

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, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer, Network Monitoring and Remediation (NMR) at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsStreaming DataAutomationPythonMachine learning

Also common in software engineer jobs at this level

Pay

This job starts at
$144k
Typical software engineer job
$167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where streaming data was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Streaming Data, Automation, Python, and Machine learning. 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.

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