Best Jobs At Amazon

[Alana Fekety]

Incharge of leading multiple managers and their teams towards achieving certain business goals, Amazon program managers are organized, methodical, and forward-thinking. Another key requirement is being able to foster a sense of communal spirit.

Amazon hires vast swaths of program managers each year, often valuing business school grads for their business acumen and soft skills. This makes it one of the best Amazon jobs for students considering a career in tech.

Working as an Amazon business analyst requires analytical, critical thinking and problem-solving skills. Successful business school applicants for the role will have experience in either tech, finance, or a similar analytical-driven field.

As a role with a lot of responsibility, business analysis is one of the best Amazon jobs in terms of earning potential, with median salaries of around $102K, and some climbing as high as $127K per year.

As a manager entrusted with coaching, managing, and developing large teams, you will need to discuss potential solutions for an array of business and operational challenges with senior leadership. This will require strong verbal and written communication skills, on top of strategic and analytical knowhow.

As a financial analyst at Amazon, you will collaborate with teams of other analysts to identify ways to improve consumer growth and profitability. This will also involve strong communication, organizational, and planning skills, alongside more technical abilities, such as data analysis.

As part of the role, you will lead and develop a team who you will then be responsible for in terms of maintaining their safety, quality, attendance, and performance. You will also need to consistently communicate with teams such as quality assurance and human resources in order to plan and meet business objectives.

Amazon work from home jobs are in high demand and for good reason. Amazon is a company highly focused on technological innovation and have incorporated a large number of available work from home jobs with some impressive benefits. Over the last 5 years, the number of remote positions has grown in popularity, especially at large global corporations such as Amazon. With this growing number of available of positions, we decided to make things easier for you. Our staffing agency experts have put together a list of the top 15 amazon work from home jobs:

Job Summary: Your job will be to deliver training content to partners to drive adoption and usage of AWS infrastructure services. This role involves the combined passion for teaching and technology to drive positive customer relationships.

Job Summary: A technology expert that fosters a culture of innovation and agility for technical support in an ever-changing environment of connected devices and services. Responsibilities include sharing your technical knowledge, problem-solving, and learning about new arising technology.

Job Summary: This position involves someone who can deliver customer service to all Amazon customers in a timely, accurate, and professional manner. You will communicate primarily through phone and email, along with a variety of software tools.

Job Summary: This requires superior attention to detail, the ability to meet tight deadlines, great organizational skills, and the ability to juggle multiple critical requests. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior professionals inside and outside the company.

Job Summary: This position involves someone who will be owning and managing large, complex problems and engaging with cross-functional teams, and numerous stakeholders, directly and through influence.

Job Summary: This includes harvesting content from customers, global customer delivery teams, solution architects, internal services teams, and partners. This role will also be responsible for the creation of content intake mechanisms to capture, cleanse, prioritize, assign, review, and publish prescriptive guidance to AWS online properties.

Job Summary: The primary focus of this role is creative ideation, design support, and pixel-perfect execution of IMDb TV creative art assets. The AD can lead specific programs as the team scales with the business, providing guidance to the visual and motion designers on the team.

Job Summary: Providing exceptional candidate generation, client/account management, organizational skills, and understand the value of providing outstanding customer service.

Job Summary: This is a key position to help grow our cloud computing business and make an impact in an exciting, growing market. The responsibilities include researching and documenting internal AWS information and drafting clear, concise, accurate, and compliant responses to RFP/RFI, partner, and customer inquiries.

Job Summary: You will contribute to all aspects of the software development lifecycle including advocating for our candidates, clarifying requirements, applying design patterns, development, documentation, testing, and operations.

Job Summary: The Specialist will own the creation and ongoing maintenance of internal content and partner closely with business leaders, stakeholders, and agents to ensure they understand the business need for communication and the impact it will have on the agents.

Job Summary: The Fulfillment Center Learning Specialist works with operations managers, area managers, production assistants to coordinate all associate onboarding activities for the site. Constantly improving the long-term capabilities of the area to which he/she is assigned.

Job Summary: You will quickly build a rapport while providing phenomenal customer service with a dash of sales, troubleshooting, and technical solutions. With extraordinary empathy and active listening, you will be tasked to turn an escalated situation into an amazing customer service experience.

Serving as an award-winning Houston staffing agency, one of our experienced recruiters is here to help you navigate through your search through the amazon work from home jobs. Submit your resume today to get started!

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AWS Batch is a service that enables scientists and engineers to run computational workloads at virtually any scale without requiring them to manage a complex architecture. Since launch in 2017, AWS Batch has been adopted by customers from diverse industries and institutions to run workloads in domains as diverse as epidemiology, gaming simulations, and large-scale machine learning.

In this blog post, we share a set of best practices and practical guidance devised from our experience working with customers in running and optimizing their computational workloads. The readers will learn how to optimize their costs with Amazon EC2 Spot on AWS Batch, how to troubleshoot their architecture should an issue arise and how to tune their architecture and containers layout to run at scale.

Amazon EC2 Spot is commonly used by customers running batch workloads due to the cost savings it provides and which can attain up to 90% compared to On-Demand Instances prices. The Amazon EC2 Spot best practices provides general guidance on how to take advantage of this purchasing model. You will find below additional information on how this can be applied in the context of AWS Batch:

When a customer encounters an error with AWS Batch it is often due to an instance configuration that does not fit the jobs requirements, or an error at the application level. Other common issues can be a job stuck in RUNNABLE status or a Batch compute environment stuck in INVALID state.

Container size and structure matters for the initial set of jobs you will be running, especially if your container is larger than 4 GB. Container images are built in layers that are retrieved in parallel by Docker, by default 3 threads are used to pull these layers. While you can add increase concurrency for layer retrieval using the parameter max-concurrent-downloads for Docker, optimizing your container structure and size is also a good option. Below is what we recommend to customers using AWS Batch:

In some cases, customers can mix both purchasing models by submitting on Spot first and then use On-Demand as a fallback option. They start by submitting their jobs on a queue connected to compute environments running on EC2 Spot. If a job gets interrupted, they catch the event from Amazon EventBridge, correlate it to a Spot Instance Reclamation and resubmit the job to an On-Demand queue using an AWS Lambda function or an AWS Step Functions. Just keep in mind that you should use different instance kinds, sizes or Availability Zones for your On-Demand compute environment otherwise you will starve your EC2 Spot Instance pools and increase the interruption rate (thus rescheduling to on-demand instances).

In this blog post, you have learned about best practices regarding AWS Batch that were identified through our interactions with customers in domains ranging from Genomics, Financial Services to Autonomous Vehicle development. Through this list of best practices, you have seen how to leverage Amazon EC2 Spot, how to troubleshoot a workload running on AWS Batch and how to optimize your AWS Batch architectures.

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