Develop products that will amaze our customers. And yourself.

The Software Development team at AWS is responsible for leading, designing, and developing our software applications and systems. As part of our team, you’ll be challenged to not only meet the needs of our customers today, but to predict and create what they’ll need in the future. And if that’s not enough, you’ll have the opportunity to tackle big technical problems and push the boundaries on what’s possible for cloud computing. Come join us and raise the bar with every project you work on.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. These events may include changes in state or an update, such as a user placing an item in a shopping cart on an ecommerce website. You can use AWS Lambda to extend other AWS services with custom logic, or create your own backend services that operate at AWS scale, performance, and security. AWS Lambda automatically runs code in response to multiple events, such as HTTP requests via Amazon API Gateway, modifications to objects in Amazon Simple Storage Service (Amazon S3) buckets, table updates in Amazon DynamoDB, and state transitions in AWS Step Functions.

Lambda runs your code on high availability compute infrastructure and performs all the administration of your compute resources. This includes server and operating system maintenance, capacity provisioning and automatic scaling, code and security patch deployment, and code monitoring and logging. All you need to do is supply the code.

Come join us and build technology that makes it easy for developers around the globe to build scalable, fault-tolerant distributed systems. The Serverless Applications team develops products such as AWS Lambda that manage the complexity of distributed systems engineering on behalf of our customers, enabling them to focus on product innovation in fields as diverse as on-demand video streaming and space exploration. We have a range of initiatives on the team, from performance optimization to new product development, and we are actively hiring software engineers.

As a member of the team, you will work with a group of talented, mission-focused colleagues to propose ideas and to design, build, and evolve production AWS systems. You will have the opportunity to talk with customers to understand their needs; you will see them adopt the technology you build; and you will use their feedback to inform future development. Depending on your interests, you may work on a broad range of technical problems or you may focus on full-stack development, back-end distributed systems engineering, space and time optimization, or programming model design and implementation. Regardless of the path you choose, you will grow your skills, solve hard problems, and ship software to customers, learning from and mentoring others along the way.

If you are excited by the prospect of making it easy for developers to build and operate distributed systems, and are intrigued by any of the details above, please reach out – we would love to hear from you.

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AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service, CloudWatch, Autoscaling, and Elastic Load Balancers

You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your application and can access the underlying resources at any time.

There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications.

API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control, throttling, monitoring, and API version management. API Gateway has no minimum fees or startup costs. You pay for the API calls you receive and the amount of data transferred out and, with the API Gateway tiered pricing model, you can reduce your cost as your API usage scales.

Amazon API Gateway is changing the way that companies big and small think about APIs. API Gateway is the front-door of the Serverless revolution, an approach that lets customers turn business logic and application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management. API Gateway turns daunting tasks such as traffic management, authentication and authorization, monitoring and API versioning into easily configurable steps. It then helps companies to build their developer eco-systems and turns their data sets and business logic into new revenue streams.

Amazon API Gateway team is growing rapidly and is looking for talented Software Engineers who can help us create the massively scalable and powerful service. If you are excited about cloud computing and architecting highly available and large-scale services used by millions of users, then join us in making the Serverless revolution ubiquitous. 

As a member of the team, you will work with a group of talented, mission-focused colleagues to propose ideas and to design, build, and evolve production AWS systems. You will have the opportunity to talk with customers to understand their needs; you will see them adopt the technology you build; and you will use their feedback to inform future development. Depending on your interests, you may work on a broad range of technical problems or you may focus on full-stack development, back-end distributed systems engineering, space and time optimization, or programming model design and implementation. Regardless of the path you choose, you will grow your skills, solve hard problems, and ship software to customers, learning from and mentoring others along the way.

If you are excited by the prospect of making it easy for developers to build and operate distributed systems, and are intrigued by any of the details above, please reach out – we would love to hear from you. To learn more about API Gateway, visit the Amazon API Gateway page: http://aws.amazon.com/api-gateway

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Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Today, real-time processing from data streams still needs substantial investments from customers in writing their stream processing applications and maintaining the necessary infrastructure. As a member of the team you will be working towards the vision of making the service easy to use AWS service, robust and cost-effective for customers to run their stream processing applications. You will be part of a journey from feature inception, iterating on customer feedback, and continuous customer delivery. You will also have the opportunity to be a part of the team developing large scale stream processing services like Apache Flink and Apache Kafka running on Elastic Kubernetes service container orchestration platforms. This is a strategic bet for Kinesis organization in making Stream processing mainstream and you will be forefront in this effort.

Amazon Kinesis Analytics enables real-time processing of high-volume streaming data in the cloud. We’re looking for a new teammate who is enthusiastic and able to work effectively with a diverse team and someone who will help us continue to build a inclusive team culture. 

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Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our teams put a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our teams are dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. 

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Within AWS Container Services, the Container Runtime team is delivering innovations in the container runtime space that are not only at the heart of most containerized applications and workloads running on AWS but also open sourced and contributed back to the community. One example of a project from this team is firecracker-containerd, which makes it possible to run containers in Firecracker micro-VMs, giving the benefits of VM-level isolation between containers but still getting the performance of containers. We do the majority of our work in open source GitHub repos, and contribute significantly to open source projects such as moby, containerd, and firecracker-microvm. Our current focus areas are reducing container launch latencies, increasing observability, and improving developer ecosystem around container runtimes.

This is an opportunity to contribute to software that operates on a massive scale, and to gain top-notch experience in containers and cloud computing. You'll be surrounded by people who are passionate about the future of containers; supportive of each other; and motivated by the opportunity to help our customers. You will be working closely with the Open Source teams at AWS, and collaborating broadly across Amazon and the container community to drive and engage with new core capabilities in the container space.

Amazon Elastic Kubernetes Service (Amazon EKS) gives you the flexibility to start, run, and scale Kubernetes applications in the AWS cloud or on-premises. Amazon EKS helps you provide highly-available and secure clusters and automates key tasks such as patching, node provisioning, and updates. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications.

EKS makes it easy to standardize operations across every environment. You can run fully managed EKS clusters on AWS. You can have an open source, proven distribution of Kubernetes wherever you want for consistent operations with Amazon EKS Distro. You can host and operate your Kubernetes clusters on-premises and at the edge with AWS Outposts and AWS Wavelength, and have a consistent cluster management experience with Amazon EKS Anywhere (coming in 2021.)

We are one of the fastest growing teams in AWS! In the last year alone we have over doubled our teams and are working on a variety of projects as leaders in the k8s space.

Starting your own business and picking the right niche in no time

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Starting your own business and picking the right niche in no time

Clear your calendar - It's going down! You're invited to take part in the festivities. Come one, come all, bring a guest, and hang loose. This is going to be epic!

AWS App Mesh is a service mesh that provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh gives end-to-end visibility and high-availability for your applications.

Modern applications are typically composed of multiple services. Each service may be built using multiple types of compute infrastructure such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services grow within an application, it becomes difficult to pinpoint the exact location of errors, re-route traffic after failures, and safely deploy code changes. Previously, this has required you to build monitoring and control logic directly into your code and redeploy your service every time there are changes.

AWS App Mesh makes it easy to run services by providing consistent visibility and network traffic controls, and helping you deliver secure services. App Mesh removes the need to update application code to change how monitoring data is collected or traffic is routed between services. App Mesh configures each service to export monitoring data and implements consistent communications control logic across your application.

AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design.

Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design. This is why customers such as Vanguard, Accenture, Foursquare, and Ancestry have chosen to run their mission critical applications on Fargate.

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Amazon Elastic Container Registry (ECR) is a fully managed container registry that makes it easy to store, manage, share, and deploy your container images and artifacts anywhere. Amazon ECR eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. Amazon ECR hosts your images in a highly available and high-performance architecture, allowing you to reliably deploy images for your container applications.

You can share container software privately within your organization or publicly worldwide for anyone to discover and download. For example, developers can search the ECR public gallery for an operating system image that is geo-replicated for high availability and faster downloads. Amazon ECR works with Amazon Elastic Kubernetes Service (EKS), Amazon Elastic Container Service (ECS), and AWS Lambda, simplifying your development to production workflow, and AWS Fargate for one-click deployments. Or you can use ECR with your own containers environment. Integration with AWS Identity and Access Management (IAM) provides resource-level control of each repository. With ECR, there are no upfront fees or commitments. You pay only for the amount of data you store in your repositories and data transferred to the Internet.

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AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as AWS Fargate, Amazon EC2 and Spot Instances.

There is no additional charge for AWS Batch. You only pay for the AWS resources (e.g. EC2 instances or Fargate jobs) you create to store and run your batch jobs.

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The Amazon Linux AMI is a supported and maintained Linux image provided by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2). It is designed to provide a stable, secure, and high performance execution environment for applications running on Amazon EC2. It supports the latest EC2 instance type features and includes packages that enable easy integration with AWS. Amazon Web Services provides ongoing security and maintenance updates to all instances running the Amazon Linux AMI. The Amazon Linux AMI is provided at no additional charge to Amazon EC2 users.

Bottlerocket is a Linux-based open-source operating system that is purpose-built by Amazon Web Services for running containers. Bottlerocket includes only the essential software required to run containers, and ensures that the underlying software is always secure. With Bottlerocket, customers can reduce maintenance overhead and automate their workflows by applying configuration settings consistently as nodes are upgraded or replaced. Bottlerocket is now generally available at no cost as an Amazon Machine Image (AMI) for Amazon Elastic Compute Cloud (EC2).

Bottlerocket is now generally available at no cost as an Amazon Machine Image (AMI) for Amazon Elastic Compute Cloud (EC2).

Starting your own business and picking the right niche in no time

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Elastic Container Services

Elastic Beanstalk 

Proton 

EKS 

App Mesh

Fargate

ECR 

AWS Batch

Linux 

Bottle Rocket 

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