Software Development Engineer, AWS Network Data Management and Research

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AWS Networking Data Management and Research team owns a data bus, which performs ingestion, enrichment and transformation of raw networking 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, System Development engineers, 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.

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.

*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.

*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

*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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

*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 empower 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.

*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.

Basic Qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Preferred Qualifications

- Master's degree in computer science or equivalent
- Experience with data streaming, online analytical processing architectures and exposure to technologies like Kafka, Spark, EMR etc.
- Experience with data streaming, online analytical processing architectures and exposure to technologies like Kafka, Spark, EMR etc.

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