Cloud Support Engineer II - Big Data (English/Portuguese speakers)

Amazon

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.

Mexico City, CDMX, Mexico

Cloud

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Enterprise SaaS · Cloud

This job posting may no longer be active. You may be interested in these related jobs instead:

Systems Dev Engineer II, ADC2S

Amazon

AWS Systems Dev Engineer role focusing on cloud computing infrastructure and EC2 platform for government customers.

Amazon Dedicated Cloud Engineer, AWS Cross Domain Operations

Amazon

Cloud Engineer position at AWS Cross Domain Operations team supporting secure cloud capabilities across classified environments for U.S. Intelligence and Defense customers.

Network Development Engineer, InterDC services

Amazon

Network Development Engineer role at AWS focusing on building and maintaining inter-datacenter networks and infrastructure for Amazon's global cloud platform.

ADC Engineer, S3 ADC, S3+Glacier Unique Regions

Amazon

AWS Cloud Engineer position working with S3 storage solutions for government agencies, requiring TS/SCI clearance and systems administration experience.

Systems Development Engineer, AWS Cross Domain Services

Amazon

Systems Development Engineer role at AWS Cross Domain Services team, focusing on operating and scaling secure cloud services for government agencies.

Description For Cloud Support Engineer II - Big Data (English/Portuguese speakers)

Amazon Web Services (AWS) is seeking a Cloud Support Engineer II specializing in Big Data to join their premier engineering team in Mexico. This role combines technical expertise with customer service, focusing on supporting AWS's Big Data services including EMR (Hadoop), DynamoDB, MongoDB, and Apache Cassandra. The position requires bilingual proficiency in English and Portuguese, making it ideal for tech enthusiasts who can bridge language barriers while delivering technical solutions.

As a Cloud Support Engineer, you'll be at the forefront of cloud technology, helping customers succeed by providing technical support, troubleshooting complex issues, and offering guidance on AWS services. You'll work with cutting-edge technologies in the exciting space of Big Data and machine learning, while contributing to process improvements and service enhancements.

The role offers significant growth opportunities within AWS's global organization, including mentorship, continuous learning, and career development resources. You'll be part of a diverse, inclusive team culture that values work-life harmony and supports flexible working arrangements. The position operates on a follow-the-sun model, requiring flexibility to work on a rotational schedule that may include weekends.

This is an excellent opportunity for someone with a strong technical background who wants to work with industry-leading cloud technologies while making a direct impact on customer success. You'll be part of AWS's mission to be Earth's Best Employer while helping shape the future of cloud computing in Latin America and beyond.

The ideal candidate will combine technical expertise in system administration, networking, and Big Data technologies with excellent communication skills in both English and Portuguese. You'll have the chance to work with a global customer base, solve complex technical challenges, and contribute to the continuous improvement of AWS services.

Last updated 3 months ago

Responsibilities For Cloud Support Engineer II - Big Data (English/Portuguese speakers)

Solve customer cases through various contact channels (telephone, email, web/chat)
Apply advanced troubleshooting techniques to provide solutions
Drive initiatives to improve support-related processes and customer experience
Provide feedback to internal AWS teams on service improvements
Work on complex customer problems across multiple AWS services
Coach and mentor new team members
Work 5 days a week on a rotational basis (including weekends)

Requirements For Cloud Support Engineer II - Big Data (English/Portuguese speakers)

Python

Java

MongoDB

Cassandra

Linux

Bachelor's degree in Engineering/Computer Science/Mathematics or related field or equivalent military experience
3+ years of related professional experience
Experience with system administration and troubleshooting (Linux and/or Windows)
Experience with networking (HTTP/s, TCP/IP, DNS, OSI model, routing, switching, firewalls, etc.)
Experience with Hadoop ecosystems (Apache Spark, Apache Hive)
Experience in data lake architecture and administration
Fluency in English and Portuguese (written and spoken)

Benefits For Cloud Support Engineer II - Big Data (English/Portuguese speakers)

Flexible work hours
Mentorship opportunities
Career development resources
Employee-led affinity groups
Inclusive team culture
Continuous learning opportunities

Amazon

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.

Mexico City, CDMX, Mexico

Cloud

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Enterprise SaaS · Cloud

Amazon

Explain circular linked lists with advantages, disadvantages, use case, code snippets, and loop detection.

Data Structures & AlgorithmsMedium

Explain the concept of a circular linked list. Describe its advantages and disadvantages compared to a singly linked list. Provide an example of a scenario where a circular linked list would be a suitable data structure, and write code snippets in Python or Java to demonstrate how to insert a node into a circular linked list and traverse the list. Explain how to detect if a circular linked list has a loop.

Linked Lists

Amazon

Describe how you would debug a performance bottleneck in an e-commerce platform during peak shopping season.

System DesignMedium

Let's dive into a debugging scenario. Imagine you are working on a critical e-commerce platform used by millions of customers. During a peak shopping period (like Black Friday), you receive alerts indicating a significant slowdown in the checkout process. Customers are reporting that it takes an unusually long time to complete their purchases, and some are even experiencing transaction failures. This is directly impacting sales and customer satisfaction. Your team suspects a performance bottleneck somewhere in the system. The architecture involves multiple microservices, including a user authentication service, a product catalog service, an inventory service, a payment processing service, and an order management service. These services communicate with each other via REST APIs and message queues. The database consists of both relational (PostgreSQL) and NoSQL (Redis) databases. You have access to logging, monitoring tools (like Prometheus and Grafana), and distributed tracing (like Jaeger). How would you approach debugging this issue systematically, identify the root cause, and propose a solution? Be specific about the tools and techniques you would use at each stage. For example, walk me through what metrics you'd focus on, how you would narrow down the problematic service, and what steps you'd take to pinpoint the exact code or configuration causing the bottleneck. Provide specific examples of commands or queries you might use to gather data or test hypotheses. Also consider potential causes related to scaling, caching, database performance, and code inefficiencies. How would you ensure minimal disruption to the platform during the debugging process? How do you handle conflicting information or dead ends during debugging?

Amazon

Work experience and current project

Behavioral

Tell me about your work experience and current project.

Arrays

Strings

Interested in this job?