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  • Sr. Software Development Engineer, ML Networking

    Amazon (Cupertino, CA)



    Apply Now

    Description

    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.

     

    Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across hundreds of thousands of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, performance, reliability and scale and it is critical to the success of all AWS customers.

    Key job responsibilities

    AWS Networking is looking for a Sr. Software Development Engineer to drive innovation in Machine Learning (ML) Network Performance. You will join a high impact team of senior engineers that own measuring and improving the performance of our hyperscale data center networks. You will develop metrics and performance benchmarking systems to deeply understand the performance of the ML network and you will develop and deliver innovative solutions that drive ever greater experiences for our ML customers. A successful candidate will have deep expertise with network routing, transport protocols, network hardware forwarding design and ML workloads and benchmarking. This role is a tremendous opportunity to invent and deliver game changing network solutions that directly benefit our ML customers.

    About the team

    You will be part of a networking team that owns AWS ML Network. We design, develop, manage and operate the ML network in AWS. You have an opportunity to shape how one of the ML largest networks on the planet is going to be operated for at least the next decade. Our engineers, managers and leaders are innovators and builders at heart; come join us and become integral to the technology company that is the past, present and future of Cloud Computing.

    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

    - 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

     

    - 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

    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

     

    - Experience building complex software systems that have been successfully delivered to customers

     

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

     

    Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

     

    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.

     


    Apply Now



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