Software Development Engineer, Network Monitoring and Remediation (NMR)

- 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
- 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

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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
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.