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Pallab

Pallab

AWS Lambda Developer

Experience6 years
AvailabilityFull-time

Pallab is an experienced software developer with 6 years of experience and a history of working with WebRTC analytics and the health care industry. He have strong engineering professional skills in WebRTC, Node.js, React, Typescript, Java (Android), Golang, Python, C++

Expert in
  • WebRTC
  • Node.js
  • React
  • AWS Lambda
Also worked with
  • Golang
  • Python
  • C++
  • GitLab
Lucas

Lucas

AWS Lambda Developer

Experience6 years
AvailabilityFull-time

Lucas has 6+ years of software development experience. He has expertise in technologies such as Go, Java, and JavaScript. He has previously worked on developing various projects such as E-commerce websites, virtual management systems, mobile game applications, etc.

Expert in
  • AWS Lambda
  • MySQL
  • Java
  • Docker
  • Go
Also worked with
  • JavaScript
  • Vue.js
  • React
  • Unity
Alex

Alex

AWS Lambda Developer

Experience14 years
AvailabilityFull-time

Alex is a senior full-stack web developer with 14 years of experience working with companies ranging from small startups to large scale enterprises. He has worked on creating custom tools, improving existing ones, and creating mobile apps and websites.

Expert in
  • AWS Lambda
  • Node.js
  • PHP/MySQL
  • Bootstrap
  • SASS
Also worked with
  • Laravel
  • jQuery
  • React
  • Django
Ossaija

Ossaija

AWS Lambda Developer

Experience7 years
AvailabilityFull-time

Ossaija has 7 years of software engineering experience. He has an expert level understanding of JavaScript, Node.js, React.js and Python.

Expert in
  • Redux
  • Node.js
  • JavaScript
  • SQL
  • AWS Lambda
Also worked with
  • CSS
  • PHP
  • Agile
  • CI/CD
Prashant

Prashant

AWS Lambda Developer

Experience12 years
AvailabilityFull-time

Prashant has 12 years of experience in migration of PHP, React and Node applications to AWS, automating the application delivery through CI/CD pipelines with the help of Jenkins, GitlabCI and in designing completely serverless applications using AWS Lambda, API, SQS, Step Functions, etc.

Expert in
  • Linux
  • DevOps
  • Jenkins
  • AWS Lambda
  • Docker
Also worked with
  • AWS
  • Kubernetes
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Ultimate guide to hire AWS Lambda developers

Finding it hard to hire a perfect AWS Lambda developer that fits your project requirements? This hiring guide can help you recruit the best software talent.

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Ultimate guide to hire AWS Lambda developers
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How to hire an AWS Lambda developer? Skills to look for, interview questions, and more

AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS), allowing cloud engineers to build and run applications without the need to provision or manage servers. With AWS Lambda, developers can focus solely on writing code to handle specific tasks or functions, while AWS takes care of the underlying infrastructure and scaling.

AWS Lambda follows an event-driven architecture, where functions are triggered by events such as changes in data, user actions, or the occurrence of specific time intervals. This serverless platform supports a wide range of programming languages and integrates seamlessly with other AWS services, making it a powerful tool for building scalable and efficient applications.

In this resource, we will explore how to effectively hire AWS Lambda developers, discussing the key skills to look for and top interview questions for evaluating candidates who can leverage the power of AWS Lambda to develop innovative and scalable solutions.

Skills to look for in an AWS Lambda developer?

At a high level, AWS Lambda developers should have the following skills in his/her arsenal:

1. Expertise in application deployment

Deployment of web applications to AWS is one of the most primary but crucial skills to know as an AWS Lambda developer. While there are multiple ways to deploy to AWS, developers must update themselves as the methods emerge and the older ones dim out. Therefore, the prospective candidates should be comfortable in manually deploying a web application to an EC2 instance. They also need expertise in CloudFormation to hold up the application infrastructure and deploy an application. They must be familiar with Elastic Beanstalk and the work it does for applications. Also, knowing application deployment with Elastic Container Service or Elastic Kubernetes Service is a plus for the developers.

2. Deep knowledge of AWS Security Model and IAM

Developers control access in AWS by creating policies and adding them to IAM identities or AWS resources. When an IAM identity makes a request, AWS evaluates these policies in order to determine if the request can be allowed or denied. AWS supports six types of policies -

  • identity-based policies
  • resource-based policies
  • permissions boundaries
  • organization service control policies
  • access control list policies
  • session policies

The most common bugs and issues that happen in AWS are due to the misunderstanding of these IAM policies by developers. Therefore, deep knowledge and expertise with how roles and policies work are essential to improve every part of AWS work.

3. Well-versed with AWS SDK

The AWS Software Development Kit -SDK- helps the development of applications and determines how your application will interact with AWS in the code. Hence, being well-versed with the SDK allows AWS Lambda developers to use one of the powerful technologies available across the industry.

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4. Understanding of different databases

For any web application development, a database is essential, and AWS has various options. But the developers need to figure out the accurate database service suitable for your application. It would be difficult for them if they do not have a clear understanding of all the options available. Even picking up the wrong database option may hinder the application’s growth.

5. Master the serverless service approach

Lambda is a serverless service used prevalently to manage more and more web application development problems efficiently. While serverless architecture is excellent for certain types of functionality, AWS Lambda developers need to understand when and why to use the serverless service for best results.

6. Strong knowledge of multiple programming languages

JavaScript, Golang, and Python languages are the most in-demand languages for AWS engineers. Python works excellent in AWS Lambda environments due to its incredible spin-up times. When it comes to spinning containers, Python works notably quicker than Java or C#. Hence, an AWS Lambda engineer should have intense knowledge of the most suitable programming languages for different situations.

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Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying an AWS Lambda developer who will fit into your company's culture.

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We will help you select the best talents and hire an AWS Lambda developer who will fit in your company culturally.

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Technical test

Developers are asked AWS related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.

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Top interview questions to hire AWS Lambda developers.

When hiring AWS Lambda developers, it is important to test their skills with the right set of questions. Here’s a list of interview questions you can go with to vet developers appearing for the interview.

AWS Lambda is one of the best serverless computing services in the market. It allows running codes without the help of managing servers or provisioning. Users need to pay only for the computing time when consuming data, but not when not running any code. After uploading the code, Lambda itself takes care of other things. AWS Lambda runs and scales code with high availability.

AWS Lambda supports languages such as C#, .NET, Node.js, JavaScript, Java, and Go among others.

The complete execution needs to be placed within 300 seconds from placing the call to AWS Lambda. Though 3 seconds is the default timeout, developers can set any timeout value between 1 to 300 seconds.

AWS Lambda has very few limitations on different operating system activities and standard programming languages. A few of the limitations include disabling instances, trace calls, and inbound network connections. For outbound data connection, IP/TCP sockets are helpful.

AWS Lambda automatically monitors Lambda functions, reports real-time metrics through Amazon CloudWatch, including total calls, account-level, and function-level concurrency usage, latency, error rates, and suppressed requests. Developers can view statistics for each Lambda function through the Amazon CloudWatch console or AWS Lambda console. Also, third-party monitoring APIs can be called to monitor the Lambda function.

Developers can enable Lambda function for tracing with AWS X-Ray by adding X-Ray permissions to the Lambda function execution role and changing the function from “tracing mode” to “active.” When X-Ray is approved for a Lambda function, AWS Lambda will emit tracing information to X-Ray about the Lambda service overhead acquired while requesting the function. This will offer insights, like Lambda service overhead, function init duration, and function execution time. Furthermore, the developers can include X-Ray SDK in Lambda deployment package to create trace segments, interpret traces, view trace segments for downstream calls, etc. Developers can visit Troubleshooting Lambda-based applications to learn more.

Elastic blockage is a virtual storage area where the user can operate on networking-related tasks. This storage can easily bear the errors, and the user doesn't need to worry about data loss. Even if the disk is damaged in the RAID, the data will be safe. This storage further supports provisioning and allocating memory storage. It can be attached to the API on any emergency node as well.

An Anonymous class is an inner class without a name, which allows developers to declare and instantiate class simultaneously. A lambda expression can be used as a short form to write an anonymous class. We can declare methods without any name by using Lambda expressions.

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Additional questions for interviewing AWS Lambda developers

  • How does AWS Lambda secure code?
  • What kind of code can run on AWS Lambda?
  • What is the time limit for AWS Lambda execution when you perform DDOS?
  • Is there any limit to the quantity of AWS Lambda functions that you can execute at once?
  • What is auto-scaling?
  • What is SQS in AWS Lambda? Explain the roles.
  • Does the AWS Lambda-based function stay available after code or configuration changes?

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Turing offers top-quality, cost-effective, and highly productive AWS Lambda developers who belong to the top 1% of the world's remote developers. All Turing AWS Lambda developers are selected only after going through a series of rigorous tests where their skills are evaluated for a Silicon Valley bar. Daily standups are mandatory for every Turing developer as they keep the developer and the customer in alignment with the discussed goal. All Turing remote AWS Lambda developers work for at least 4 hours in your time zone for your convenience.

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Turing has created the first and only Intelligent Talent Cloud to vet remote developers for a Silicon Valley bar. Turing tests developers based upon actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

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