Cloud Support Engineer (Analytics)

DESCRIPTION

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Amazon Web Services is the global market leader and technology forerunner in the Cloud business. As a member of the AWS Support team in Amazon Web Services, you will be at the forefront of this transformational technology, 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. As a Cloud Support Engineer, you will act as the Cloud Ambassador across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.

Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team in India helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?

If you fit the description, you might be the person we are looking for! We are a team passionate about cloud computing, and believe that world class support is critical to customer success.

Key job responsibilities
Diagnose and resolve issues related to Kafka performance, connectivity, and configuration.
Monitor Kafka clusters and perform regular health checks to ensure optimal performance.
Collaborate with development teams to identify root causes of problems and implement effective solutions.
Provide timely and effective support to customers via email, chat, and phone.
Create and maintain documentation for troubleshooting procedures and best practices.
Assist in the deployment and configuration of Kafka environments, including brokers, producers, and consumers.
Conduct training sessions and provide knowledge transfer to team members.
You will be continuously learning new technologies, and developing new technical skills and other professional competencies.
You will act as interviewer in hiring processes, and coach/mentor new team members.

A day in the life
• First and foremost this is a customer support role – in The Cloud.
• On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
• Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives to ensure better CX and compliance with global AWS standards, practices and policies.
• Career development: We promote advancement opportunities across the organization to help you meet your career goals.
• Training: We have training programs to help you develop the skills required to be successful in your role.
• We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.
• Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
• AWS Support is 24/7/365 operations and shift work will be required in afternoon i.e. 1 PM to 10 PM IST

About the team
Diverse Experiences
AWS 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.

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 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 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.

BASIC QUALIFICATIONS

- Bachelor’s degree OR equivalent experience in a technical position; Requires minimum of 2+ yrs experience in relevant technical position
- Exposure to Database Fundamentals and General Troubleshooting (tuning and optimization, deadlocks, keys, normalization) in any Relational Database Engines (MySQL, PostgreSQL, Oracle, SQLServer) OR exposure to search services fundamentals and troubleshooting (indices and JVMMemory analysis and CPU utilization) for key open source products like Elasticsearch and Solr OR exposure to streaming services like Kafka / Kinesis.
- Experience in Business Analytics application, support, and troubleshooting concepts
- Experience with System Administration and troubleshooting with Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server and associated technologies (Active Directory)
- Experience with Networking and troubleshooting (TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, URL or related)

PREFERRED QUALIFICATIONS

- - Experience in a customer support environment
- - Experience analyzing, troubleshooting, and providing solutions to technical issues
- - Familiar with data warehousing and ETL process
- - Understanding of Cloud Computing concepts
- - Experience scripting or developing in at least one of the following languages: Python, R, Ruby, GO, Java, .NET (C#), JavaScript
- - Expertise in Data warehouse (example Redshift, Teradata, Exadata or Snowflake)
- 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 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.