Cloud Support Engineer I – Big Data, AWS Support Engineering

Job title:

Cloud Support Engineer I – Big Data, AWS Support Engineering

Company

Amazon

Job description

DESCRIPTIONAs a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud Ambassador across AWS products, providing our customers with required tools and tactics to scale their impact in world-wide markets.The Big Data role supports our services that leverage data and produce business insights, which may include using machine learning/artificial intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MangoDB, and Apache Cassandra.Key job responsibilities
Your day as a Cloud Support Engineer will include, but not be limited to, the following activities.

• You will be primarily responsible for solving customer’s cases through a variety of contact channels (telephone, email, and web/live chat), applying advanced troubleshooting techniques to provide tailored solutions and working with them to dive deep into the root cause of an issue.

• You will drive initiatives that improve support-related processes and our customers’ experience. These can include tutorials, how-to videos, technical articles, trainings, among others.

• You will leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services, and work on critical, highly complex customer problems that may span multiple AWS services.
• You will be continuously learning groundbreaking technologies, and developing new technical skills and other professional competencies.
• You will act as interviewer in hiring processes, and coach/mentor new team members.

This role requires the flexibility to work 5 days a week (occasionally on weekends) on a rotational basis. Schedules may align to Sunday – Thursday, Tuesday – Saturday or Monday – Friday.A day in the life
AWS Support Engineering is a customer-facing global organization that provides technical support to our customers as well as our internal teams. As a member our team, you will be at the forefront of this transformational technology, operating on a follow-the-sun model. You will be assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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 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 & 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.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.Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.BASIC QUALIFICATIONS– 1+ years of software development, or 1+ years of technical support experience
– Experience troubleshooting and debugging technical systems
– Knowledge or experience with system administration, and troubleshooting any operating system (Linux and/or Windows) and networking (HTTP/s, TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, CURL or related).
– Knowledge or experience with Hadoop ecosystems (Apache Spark, Apache Hive).
– Knowledge or experience in data lake architecture and administration.PREFERRED QUALIFICATIONS– Bachelor’s degree in computer science or equivalent
– Knowledge or experience utilizing data analysis techniques such as quantitative or qualitative analysis.
– Knowledge or experience in various big data or distributed systems (NoSQL, search and streaming).
– Understanding of cloud computing concepts and/or experience with any cloud platforms (AWS, Azure, Google Cloud).
– Experience scripting or developing in one or more of the following languages: UNIX Shell, Python, R, Ruby, GO, Java, .NET (C#), JavaScript.
– Knowledge of security concepts/best practices in securing application architectures from external threats.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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Expected salary

Location

Toronto, ON

Job date

Sun, 08 Sep 2024 00:33:07 GMT

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