Demo

Software Development Engineer, GCNA

Amazon
Seattle, WA Full Time
POSTED ON 2/9/2025
AVAILABLE BEFORE 4/9/2025

DESCRIPTION

AWS Networking Data Management and Research team owns a data bus, which performs ingestion, enrichment and transformation of networking raw data. Our mission is to distribute the data to our customers and build systems that enables customers and scientists to run experiments on top of it. We are looking for an exceptional Software Development Engineer (SDE) to build the software and leverage big data solutions for devising the next generation of network monitoring systems.

The ideal candidate will share our excitement about cloud computing and will be passionate about delivering high quality services. You will have good knowledge of distributed systems with design and implementation experience, as well as the ability to lead and mentor other engineers. You will be customer centric and enjoy working in a fast-paced environment that requires excellent technical and communication skills. You will join a tenured team of Software Development Engineers, Scientists, and Data Engineers . This is an opportunity to build a new service utilizing AWS technologies.

We are looking for a candidate who will be comfortable working with a broad range of data sources and solving problems at scale. As a team we proactively support knowledge-sharing and we embrace opportunities to teach company-wide. Since every business at Amazon relies on a network that runs smoothly, the right candidate will guide the business and communicate value, work collaboratively to develop pragmatic yet flexible solutions and move forward in the face ambiguity. The candidate should be willing to build good working relationships within the team and across AWS.


Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you would like to request an accommodation for the interview or onboarding process, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Working at AWS on the GCNA Team
Meet Robert, VP: https://youtu.be/8v5i42FL02w
Meet Jeyanthan, Software Development Manager: https://youtu.be/5oJe4rXS3Ow


Key job responsibilities
As a Software Development Engineer, you will oversee the complete software development lifecycle—defining, prioritizing, designing, building, and testing new features.
• Operate an AWS business with globally distributed servers and customers at a massive scale.
• Understand what it takes to grow and operate a global business at our scale.


A day in the life
As a Software Development Engineer, you will problem-solve and innovate in an agile, sometimes ambiguous environment. You will build creative short-term and sustainable long-term solutions with others as passionate as you about this mission. You will use data to make decisions and validate assumptions. You will learn from others and help grow those in your team to achieve their best.

About the team
The Network Availability Engineering team is responsible for the monitoring and tooling that helps ensure the (arguably) largest physical network on the planet is also the most highly available and performant for customers ranging from Video streamers like Netflix, gaming companies like EASports to financial institutions including the NASDAQ.

This team of engineers and scientists build and operate the systems that monitor and analyze billions of data points per day from our telemetry systems across millions of devices, and using those insights to drive automated recovery in near-real-time through other systems we build. Their systems are also used to get insight into the most performant parts of their own networks as well as the internet so that other systems can ensure customers have industry leading performance.

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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience with data streaming architecture, data analytics flows and technologies like Kakfa would be most helpful

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Salary : $151,300 - $261,500

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