As companies continue to adopt cloud computing, the demand for DevOps engineers with expertise in cloud platforms such as Amazon Web Services (AWS) has been on the rise. In this blog post, we will discuss how to start your career as an AWS DevOps Engineer. We will cover the skills, education, and practical experience needed to succeed in this role. We will also explore the importance of building a professional network, how to apply for jobs, and ways to advance your career.
Understanding DevOps DevOps is a set of practices that combines software development and IT operations to enable faster and more reliable delivery of software. DevOps engineers are responsible for implementing these practices and tools to streamline the software development process. AWS DevOps Engineer Role AWS DevOps engineers are responsible for designing and implementing the DevOps practices and tools specific to AWS. This includes creating automated deployment pipelines, managing infrastructure as code, and implementing monitoring and logging solutions.
In this blog post, we will cover the key skills required to become an AWS DevOps Engineer, the education and certification options, how to gain practical experience, how to build a professional network, and how to apply for jobs. We will also discuss ways to advance your career once you have landed your first AWS DevOps Engineer role.
Overview of AWS DevOps Engineer:
A career as an AWS DevOps Engineer can be both challenging and rewarding. Here are some things you should know if you’re considering pursuing this career path:
- Job Description: AWS DevOps Engineers are responsible for designing and implementing automated systems for building, deploying, and managing cloud-based applications. They work closely with development teams to ensure that code changes are tested and deployed in a timely and efficient manner. Additionally, they are responsible for monitoring system performance and implementing improvements as needed.
- Skills Required: To become an AWS DevOps Engineer, you’ll need to have a strong background in software development, as well as experience with cloud computing and infrastructure management. You’ll also need to have expertise in configuration management tools like Ansible, Puppet, or Chef, and knowledge of scripting languages like Python, Bash, or Ruby. Strong communication skills and the ability to work in a team are also important.
- Education and Certification: A bachelor’s degree in Computer Science or a related field is typically required for this role. AWS DevOps Engineers should also have certification in Amazon Web Services (AWS) as well as DevOps tools like Jenkins, Docker, and Kubernetes.
- Career Outlook: The demand for AWS DevOps Engineers is on the rise as more companies adopt cloud computing and DevOps practices. According to Payscale, the average salary for an AWS DevOps Engineer in the United States is around $120,000 per year.
- Training and Resources: There are several online courses and resources available for learning AWS and DevOps tools. AWS offers certification training through its AWS Training and Certification program. Additionally, online learning platforms like Udemy and Coursera offer courses on AWS and DevOps.
If you’re interested in pursuing a career as an AWS DevOps Engineer, it’s important to stay up-to-date with the latest trends and technologies in the field. This may involve attending conferences, participating in online communities, and continuing your education through professional development courses and certifications.
Who is a DevOps Engineer?
DevOps engineers collaborate with development and operations teams to create dependable and rapid software and update release pipelines. This mostly includes generating unique automation tools, integrating technologies, and improving process efficiency. As part of an agile team, their goal is to speed up the software development and delivery processes. This encompasses a wide variety of technical responsibilities, such as
- Firstly, keeping track of design issues and automating the developer debugging process.
- Secondly, engineering operations must be documented and organized.
- Thirdly, establishing and maintaining configuration and deployment frameworks.
- Lastly, creating style rules and standards based on best practices to improve efficiency.
Major tasks of a DevOps Engineer:
- In collaboration with teammates, a DevOps engineer is responsible for designing, building, and releasing software.
- Secondly, they apply their expertise to work doing quality assurance to ensure that the software meets the requirements.
- Then, they check to see if software updates and upgrades are being applied correctly.
- After that, by securing software, DevOps engineers also address and prevent security breaches and other vulnerabilities.
- Next, they collect and analyze customer feedback in order to improve the user experience.
- Lastly, they provide solutions for improving efficiency and success through process adjustments.
How DevOps fits into AWS?
DevOps plays a critical role in the successful implementation and management of cloud-based applications and services on AWS. AWS provides a range of DevOps tools and services that enable teams to build and deploy applications quickly and reliably.
Here are some of the ways that DevOps fits into AWS:
- Infrastructure as Code (IaC): AWS enables teams to define and manage infrastructure as code using tools like AWS CloudFormation and AWS Elastic Beanstalk. This allows teams to automate the provisioning and deployment of infrastructure resources, reducing the time and effort required for manual tasks.
- Continuous Integration and Continuous Deployment (CI/CD): AWS provides a range of tools and services for implementing CI/CD pipelines, such as AWS CodePipeline, AWS CodeCommit, and AWS CodeBuild. These tools enable teams to automate the build, testing, and deployment of applications, resulting in faster and more reliable releases.
- Monitoring and Logging: AWS provides a range of monitoring and logging tools, including Amazon CloudWatch and AWS CloudTrail, that enable teams to monitor the performance and health of their applications and services. These tools can also help teams identify and troubleshoot issues quickly.
- Security and Compliance: DevOps engineers must ensure that their applications and services on AWS are secure and compliant with relevant regulations. AWS provides a range of security and compliance tools, including AWS Identity and Access Management (IAM) and AWS Config, that can help teams manage access, monitor compliance, and implement security best practices.
Skills Required for AWS DevOps Engineer
To become a successful AWS DevOps engineer, you need a combination of technical and soft skills. Here are some of the key skills required for the role:
Technical Skills:
- AWS Services: AWS DevOps engineers must have a deep understanding of AWS services and how they can be used to build and deploy applications.
- Automation Tools: Knowledge of automation tools such as Jenkins, Ansible, Chef, and Puppet is essential to automate the build, deployment, and testing processes.
- Scripting: Proficiency in scripting languages such as Python, Bash, and Ruby is important for automating repetitive tasks and creating custom tools.
- Monitoring and Logging Tools: Familiarity with monitoring and logging tools such as Amazon CloudWatch, AWS Config, and AWS CloudTrail is necessary to monitor the performance and health of applications and services.
- Infrastructure as Code: Experience with Infrastructure as Code (IaC) tools like AWS CloudFormation and AWS Elastic Beanstalk is necessary for automating the deployment and management of infrastructure resources.
Soft Skills:
- Collaboration and Communication: AWS DevOps engineers must be able to work collaboratively with cross-functional teams and communicate effectively with stakeholders.
- Problem-Solving: The ability to troubleshoot and resolve issues quickly and efficiently is essential in a fast-paced DevOps environment.
- Continuous Learning: Keeping up with the latest AWS services and DevOps tools requires a strong commitment to continuous learning and self-improvement.
- Adaptability: The ability to adapt to changing requirements and priorities is critical in a dynamic DevOps environment.
AWS DevOps Engineer: Career Pathway
According to the section below, there are a few essential qualifications to meet in order to become a DevOps engineer. Let’s find out about them.
- Firstly, candidates must have a bachelor’s degree in computer science, software engineering, or a related profession.
- Secondly, experience and understanding of,
- software product life cycles utilizing a variety of automation technologies is recommended.
- strategies for software security
- coding languages
- making decisions, collaborating on projects, and more
- Lastly, earning a certification is the greatest approach to improve a DevOps engineer’s knowledge and abilities.
So, let’s begin with our first step.
1. Earning an AWS DevOps Engineer Certification
Individuals who work as DevOps engineers should take the AWS Certified DevOps Engineer Professional (DOP-C01) exam. The test verifies a candidate’s technical knowledge of the AWS platform, including creating, running, and managing distributed application systems. However, if you have two or more years of experience providing, running, and managing AWS environments then also you are suitable to take the AWS Certified DevOps Engineer Professional test. However, it is recommended that you have the following factors before taking this exam:
- Firstly, experience in writing code in at least one high-level programming language
- Secondly, constructing highly automated infrastructures, and administering operating systems is required.
- Thirdly, understanding of modern development and operational procedures and techniques
- Then, the ability to configure and manage continuous delivery systems and procedures.
- Next, skills for applying and monitoring security controls, governance processes, and compliance
- Lastly, knowledge of creating and deploying monitoring, measurement, and logging systems.
Skills measured in this exam:
The exam also validates a candidate’s ability for executing the provided tasks:
- Firstly, applying and managing continuous delivery systems and methodologies on AWS
- Secondly, specifying and deploying monitoring, metrics, and logging systems on AWS
- Then, applying systems that are highly available, scalable, and self-healing on the AWS platform
- Lastly, planning, controlling, and maintaining tools for automating operational processes
Moving onto the next step, that is how to begin our AWS DevOps Exam preparation!
2. Preparing for the AWS DevOps Engineer Professional Exam
Before taking any exam, you must develop a study strategy and go through all of the relevant study materials. So, in the sections following, we’ll look at the various methods for preparing for and passing the AWS DevOps Engineer exam.
1. Understanding the exam objectives
We’ve covered the basics of the exam pattern and the specifics that are required to move on with exam preparation. Now we’ll go on to the most important part of this blog: the exam objectives. Because the exam guide is the only area in which we must devote the majority of our study time, aside from practice tests. This guide contains a test course overview as well as a list of all exam subjects and sub-topics. As a result, maintaining a high level of focus is necessary in order to understand exam topics. This includes the following:
Module 1: Understanding SDLC Automation (22%)
1.1: Implement CI/CD pipelines.
Required Knowledge
- Software development lifecycle (SDLC) concepts, phases, and models
- Pipeline deployment patterns for single- and multi-account environments
Skills
- Configuring code, image, and artifact repositories
- Using version control to integrate pipelines with application environments
- Setting up build processes (for example, AWS CodeBuild)
- • Managing build and deployment secrets (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)
- Determining appropriate deployment strategies (for example, AWS CodeDeploy)
1.2: Integrate automated testing into CI/CD pipelines.
Required Knowledge
- Different types of tests (for example, unit tests, integration tests, acceptance tests, user interface tests, security scans)
- Reasonable use of different types of tests at different stages of the CI/CD pipeline
Skills
- Running builds or tests when generating pull requests or code merges (for example, AWS CodeCommit, CodeBuild)
- Running load/stress tests, performance benchmarking, and application testing at scale
- Measuring application health based on application exit codes
- Automating unit tests and code coverage
- Invoking AWS services in a pipeline for testing
1.3 Build and manage artifacts.
Required Knowledge
- Artifact use cases and secure management
- Methods to create and generate artifacts
- Artifact lifecycle considerations
Skills
- Creating and configuring artifact repositories (for example, AWS CodeArtifact, Amazon S3, Amazon Elastic Container Registry [Amazon ECR])
- Configuring build tools for generating artifacts (for example, CodeBuild, AWS Lambda)
- Automating Amazon EC2 instance and container image build processes (for example, EC2 Image Builder)
1. 4: Implement deployment strategies for instance, container, and serverless environments.
Required Knowledge
- Deployment methodologies for various platforms (for example, Amazon EC2, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS], Lambda)
- Application storage patterns (for example, Amazon Elastic File System [Amazon EFS], Amazon S3, Amazon Elastic Block Store [Amazon EBS])
- Mutable deployment patterns in contrast to immutable deployment patterns
- Tools and services available for distributing code (for example, CodeDeploy, EC2 Image Builder)
Skills
- Configuring security permissions to allow access to artifact repositories (for example, AWS Identity and Access Management [IAM], CodeArtifact)
- Configuring deployment agents (for example, CodeDeploy agent)
- Troubleshooting deployment issues
- Using different deployment methods (for example, blue/green, canary)
Module 2: Understanding Configuration Management and IaC (17%)
2.1 Define cloud infrastructure and reusable components to provision and manage systems throughout their lifecycle.
Required Knowledge
- Infrastructure as code (IaC) options and tools for AWS
- Change management processes for IaC-based platforms
- Configurations management services and strategies
Skills
- Composing and deploying IaC templates (for example, AWS Serverless Application Model [AWS SAM], AWS CloudFormation, AWS Cloud Development Kit [AWS CDK])
- Applying AWS CloudFormation StackSets across multiple accounts and AWS Regions
- Determining optimal configuration management services (for example, AWS OpsWorks, AWS Systems Manager, AWS Config, AWS AppConfig)
- Implementing infrastructure patterns, governance controls, and security standards into reusable IaC templates (for example, AWS Service Catalog, CloudFormation modules, AWS CDK)
2.2 Deploy automation to create, onboard, and secure AWS accounts in a multiaccount/multi-Region environment.
Required Knowledge
- AWS account structures, best practices, and related AWS services
Skills
- Standardizing and automating account provisioning and configuration
- Creating, consolidating, and centrally managing accounts (for example, AWS Organizations, AWS Control Tower)
- Applying IAM solutions for multi-account and complex organization structures (for example, SCPs, assuming roles)
- Implementing and developing governance and security controls at scale (AWS Config, AWS Control Tower, AWS Security Hub, Amazon Detective, Amazon GuardDuty, AWS Service Catalog, SCPs)
2. 3: Design and build automated solutions for complex tasks and large-scale environments.
Required Knowledge
- AWS services and solutions to automate tasks and processes
- Methods and strategies to interact with the AWS software-defined infrastructure
Skills
- • Automating system inventory, configuration, and patch management (for example, Systems Manager, AWS Config)
- • Developing Lambda function automations for complex scenarios (for example, AWS SDKs, Lambda, AWS Step Functions)
- Automating the configuration of software applications to the desired state (for example, OpsWorks, Systems Manager State Manager)
- Maintaining software compliance (for example, Systems Manager)
Module 3: Understanding Resilient Cloud Solutions (15%)
3.1 Implement highly available solutions to meet resilience and business requirements.
Required Knowledge
- Multi-AZ and multi-Region deployments (for example, compute layer, data layer)
- SLAs
- Replication and failover methods for stateful services
- Techniques to achieve high availability (for example, Multi-AZ, multi-Region)
Skills
- Translating business requirements into technical resiliency needs
- Identifying and remediating single points of failure in existing workloads
- Enabling cross-Region solutions where available (for example, Amazon DynamoDB, Amazon RDS, Amazon Route 53, Amazon S3, Amazon CloudFront)
- Configuring load balancing to support cross-AZ services
- Configuring applications and related services to support multiple Availability Zones and Regions while minimizing downtime
3.2 Implement solutions that are scalable to meet business requirements.
Required Knowledge
- Appropriate metrics for scaling services
- Loosely coupled and distributed architectures
- Serverless architectures
- Container platforms
Skills
- Identifying and remediating scaling issues
- Identifying and implementing appropriate auto scaling, load balancing, and caching solutions
- Deploying container-based applications (for example, Amazon ECS, Amazon EKS)
- Deploying workloads in multiple AWS Regions for global scalability
- Configuring serverless applications (for example, Amazon API Gateway, Lambda, AWS Fargate)
3.3 Implement automated recovery processes to meet RTO/RPO requirements.
Required Knowledge
- Disaster recovery concepts (for example, RTO, RPO)
- Backup and recovery strategies (for example, pilot light, warm standby)
- Recovery procedures
Skills
- Testing failover of Multi-AZ/multi-Region workloads (for example, Amazon RDS, Amazon Aurora, Route 53, CloudFront)
- Identifying and implementing appropriate cross-Region backup and recovery strategies (for example, AWS Backup, Amazon S3, Systems Manager)
- Configuring a load balancer to recover from backend failure
Module 4: Monitoring and Logging
4.1 Configure the collection, aggregation, and storage of logs and metrics.
Required Knowledge
- How to monitor applications and infrastructure
- Amazon CloudWatch metrics (for example, namespaces, metrics, dimensions, and resolution)
- Real-time log ingestion
- Encryption options for at-rest and in-transit logs and metrics (for example, client-side and server-side, AWS Key Management Service [AWS KMS])
- Security configurations (for example, IAM roles and permissions to allow for log collection)
Skills
- Securely storing and managing logs
- Creating CloudWatch metrics from log events by using metric filters
- Creating CloudWatch metric streams (for example, Amazon S3 or Amazon Kinesis Data Firehose options)
- Collecting custom metrics (for example, using the CloudWatch agent)
- Managing log storage lifecycles (for example, S3 lifecycles, CloudWatch log group retention)
- Processing log data by using CloudWatch log subscriptions (for example, Kinesis, Lambda, Amazon OpenSearch Service)
- Searching log data by using filter and pattern syntax or CloudWatch Logs Insights
- Configuring encryption of log data (for example, AWS KMS)
4.2 Audit, monitor, and analyze logs and metrics to detect issues.
Required Knowledge
- Anomaly detection alarms (for example, CloudWatch anomaly detection)
- Common CloudWatch metrics and logs (for example, CPU utilization with Amazon EC2, queue length with Amazon RDS, 5xx errors with an Application Load Balancer)
- Amazon Inspector and common assessment templates
- AWS Config rules
- AWS CloudTrail log events
Skills
- Building CloudWatch dashboards and Amazon QuickSight visualizations
- Associating CloudWatch alarms with CloudWatch metrics (standard and custom)
- Configuring AWS X-Ray for different services (for example, containers, API Gateway, Lambda)
- Analyzing real-time log streams (for example, using Kinesis Data Streams)
- Analyzing logs with AWS services (for example, Amazon Athena, CloudWatch Logs Insights)
4.3 Automate monitoring and event management of complex environments.
Required Knowledge
- Event-driven, asynchronous design patterns (for example, S3 Event Notifications or Amazon EventBridge events to Amazon Simple Notification Service [Amazon SNS] or Lambda)
- Capabilities of auto scaling a variety of AWS services (for example, EC2 Auto Scaling groups, RDS storage auto scaling, DynamoDB, ECS capacity provider, EKS autoscalers)
- Alert notification and action capabilities (for example, CloudWatch alarms to Amazon SNS, Lambda, EC2 automatic recovery)
- Health check capabilities in AWS services (for example, Application Load Balancer target groups, Route 53)
Skills
- Configuring solutions for auto scaling (for example, DynamoDB, EC2 Auto Scaling groups, RDS storage auto scaling, ECS capacity provider)
- Creating CloudWatch custom metrics and metric filters, alarms, and notifications (for example, Amazon SNS, Lambda)
- Configuring S3 events to process log files (for example, by using Lambda), and deliver log files to another destination (for example, OpenSearch Service, CloudWatch Logs) Configuring EventBridge to send notifications based on a particular event pattern
- Installing and configuring agents on EC2 instances (for example, AWS Systems Manager Agen [SSM Agent], CloudWatch agent)
- Configuring AWS Config rules to remediate issues
- Configuring health checks (for example, Route 53, Application Load Balancer)
Module 5: Incident and Event Response
5.1 Manage event sources to process, notify, and take action in response to events.
Required Knowledge
- AWS services that generate, capture, and process events (for example, AWS Health, EventBridge, CloudTrail, CloudWatch Events)
- Event-driven architectures (for example, fan out, event streaming, queuing)
Skills
- Integrating AWS event sources (for example, AWS Health, EventBridge, CloudTrail, CloudWatch Events)
- Building event processing workflows (for example, Amazon Simple Queue Service [Amazon SQS], Kinesis, Amazon SNS, Lambda, Step Functions)
5.2 Implement configuration changes in response to events.
Required Knowledge
- Fleet management services (for example, Systems Manager, AWS Auto Scaling)
- Configuration management services (for example, AWS Config)
Skills
- Applying configuration changes to systems
- Modifying infrastructure configurations in response to events
- Remediating a non-desired system state
5.3 Troubleshoot system and application failures.
Required Knowledge
- AWS metrics and logging services (for example, CloudWatch, X-Ray)
- AWS service health services (for example, AWS Health, CloudWatch, Systems Manager OpsCenter)
- Root cause analysis
Skills
- Analyzing failed deployments (for example, AWS CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CloudWatch synthetic monitoring)
- Analyzing incidents regarding failed processes (for example, auto scaling, Amazon ECS, Amazon EKS)
Module 6: Security and Compliance
6.1 Implement techniques for identity and access management at scale.
Required Knowledge
- Appropriate usage of different IAM entities for human and machine access (for example, users, groups, roles, identity providers, identity-based policies, resource-based policies, session policies)
- Identity federation techniques (for example, using IAM identity providers and AWS Single Sign-On)
- Permission management delegation by using IAM permissions boundaries
- Organizational SCPs
Skills
- Designing policies to enforce least privilege access
- Implementing role-based and attribute-based access control patterns
- Automating credential rotation for machine identities (for example, Secrets Manager)
- Managing permissions to control access to human and machine identities (for example, enabling multi-factor authentication [MFA], AWS Security Token Service [AWS STS], IAM profiles)
6.2 Apply automation for security controls and data protection.
Required Knowledge
- Network security components (for example, security groups, network ACLs, routing, AWS Network Firewall, AWS WAF, AWS Shield)
- Certificates and public key infrastructure (PKI)
- Data management (for example, data classification, encryption, key management, access controls)
Skills
- Automating the application of security controls in multi-account and multi-Region environments (for example, Security Hub, Organizations, AWS Control Tower, Systems Manager)
- Combining security controls to apply defense in depth (for example, AWS Certificate Manager [ACM], AWS WAF, AWS Config, AWS Config rules, Security Hub, GuardDuty, security groups, network ACLs, Amazon Detective, Network Firewall)
- Automating the discovery of sensitive data at scale (for example, Amazon Macie)
- Encrypting data in transit and data at rest (for example, AWS KMS, AWS CloudHSM, ACM)
6.3 Implement security monitoring and auditing solutions.
Required Knowledge
- Security auditing services and features (for example, CloudTrail, AWS Config, VPC Flow Logs, CloudFormation drift detection)
- AWS services for identifying security vulnerabilities and events (for example, GuardDuty, Amazon Inspector, IAM Access Analyzer, AWS Config)
- Common cloud security threats (for example, insecure web traffic, exposed AWS access keys, S3 buckets with public access enabled or encryption disabled)
Skills
- Implementing robust security auditing
- Configuring alerting based on unexpected or anomalous security events
- Configuring service and application logging (for example, CloudTrail, CloudWatch Logs)
- Analyzing logs, metrics, and security findings
2. Using of AWS Recommended Training
AWS recommends courses to help you develop and broaden your technical knowledge. You will be able to cover the various portions of the DevOps Engineer exam with the assistance of an expert.
1. AWS Certified DevOps Engineer Professional: Exam Readiness
This advanced-level course will help you in preparing for the exam by assessing the exam’s topic areas and the process of relating them to DevOps on AWS. Moreover, this will go through example exam questions for each topic area and show you how to analyze the topics being assessed so you can remove erroneous answers faster. This course covers the DevOps methodology’s key ideas.
Targeted Audience:
This course is suitable for:
- DevOps engineers
- Solution architects
- Systems administrators
- Course Objectives
2. Classroom Training
DevOps Engineering on AWS teaches you how to boost your organization’s capacity to create, deploy, and manage applications and services at high velocity on AWS by combining DevOps cultural principles, practices, and technologies. Continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring, and logging, as well as communication and collaboration, are all covered in this course. Moreover, creating and deploying AWS CloudFormation templates and CI/CD pipelines to develop and deploy apps on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications are covered in hands-on labs. And, there are also labs for multi-pipeline workflows and pipelines that deploy to various environments.
Further, you will learn about:
- Firstly, using DevOps best practises for rapid development, provisioning, and maintenance of apps and services on AWS
- Secondly, listing the advantages, roles, and responsibilities of small, autonomous DevOps teams
- Thirdly, planning and applying an infrastructure on AWS that supports DevOps development projects
- Lastly, supporting AWS Cloud9 for writing, running, and debugging code.
3. DevOps Traning
As you explore CI/CD pipelines, deployment techniques, observability, and more, this collection of on-demand courses will help you improve your technical abilities for delivering, maintaining, and monitoring cloud applications on AWS. However, this includes:
AWS DevOps Engineering Learning Plan
AWS Learning Plans provide a recommended collection of digital courses to help beginners get started. You won’t have to worry if you’re starting in the appropriate places or taking the right courses with the AWS DevOps Engineering Plan. Further, in this you will be:
- Firstly, taken through an AWS-recommended curriculum that you may complete at your own speed.
- Secondly, complete the whole plan or select the classes that appeal to you.
- Thirdly, installing, administering, and monitoring cloud apps more effectively after completing this strategy.
- Lastly, getting a better understanding of Amazon CodeGuru, AWS CodePipeline, AWS X-Ray, and other AWS services.
AWS Ramp-Up Guide
This guide was created by AWS specialists to assist you to browse a large number of tools and materials to help you build your DevOps abilities in one location. You may utilize this guide at your own speed, whether you choose to read articles, examine PDFs, or take digital courses. Moreover, it will assist you in comprehending all of your learning alternatives and determining which are the most appropriate for you depending on your knowledge and ability level.
3. Using Practice Tests
This is yet another important component of the study guide that will not only assist you in identifying your weak regions but also in developing a strong revision level. To put it another way, utilizing the practice examinations will help you improve your answer skills while also saving time. There are, however, a number of free sample tests accessible to assist you in getting started with AWS DevOps Engineer practice exams. Once you’ve gone over a section or a few subjects, you can take mock exams as part of your review.
But what comes next? That is to say, we have a good understanding of the AWS DevOps Engineer test and how to pass it. But, once you’ve passed the exam, what should you do next? The next step is to get experience and find a job. So, let’s get things straight!
Steps to start a career as an AWS DevOps Engineer
Amazon Web Services was one of the leaders of the cloud computing revolution. AWS is one of the market’s oldest and most successful cloud computing companies, thus, as a result, starting your career with the AWS certification will benefit you. However, in order to provide clarity, we will discuss certain measures to take in order to obtain a strong start as an AWS DevOps Engineer.
1. Gaining hands-on experience
This is a crucial step in obtaining a good job in the market sector. That is to say, if you have the necessary expertise as well as an AWS certification, no company can refuse you! This is a known fact. And the most effective method to do so is to begin working on a project. Start working on your own project using the skills and information you gained while completing the DevOps Engineer Professional exam. Furthermore, this may be used as an assignment to assess your abilities, as well as a benefit during the interview to demonstrate your abilities to the company.
2. Preparing for the job interview
The next stage is to secure a top position in the industry after passing the AWS certification and acquiring hands-on experience. You should also be notified that being an AWS DevOps Engineer Professional will not only help you acquire a good job but also a high-paying compensation. However, preparing for an interview will be a task for you due to the large competition. So, to get advancement in this, you can take reference from top interview questions available for DevOps engineers which can be easily available online. Using this will not only help you in cracking interviews but will also help you get a revision to make your knowledge solid.
- Research the company and its products or services.
- Brush up on your technical skills and knowledge of AWS services and DevOps tools.
- Practice answering common interview questions.
- Prepare examples of your work and achievements to share during the interview.
- Be ready to ask questions about the company and the role.
Further, talking about the salary, in India, the average DevOps salary is Rs 674,202 per year, which includes bonuses and profit-sharing. Furthermore, because DevOps is in great demand, businesses want candidates to have the necessary expertise and skills.
And, when it comes to employment, we won’t forget the top organizations who are hiring AWS DevOps Engineers. This includes the following:
- SAP
- Accenture
- Mindtree
- IBM
- Capgemini
- TCS
3. Check for recertification
AWS Certifications have a three-year validity period. We expect you to demonstrate your continuous skill through a procedure called recertification to keep your AWS Certified designation. Recertification enhances the total value of your AWS Certification by demonstrating to individuals and employers that your certification covers the most up-to-date AWS knowledge, skills, and best practices.
Final Words
If you have a passion for cloud computing, automation, and software development, then pursuing a career as an AWS DevOps Engineer can be a fulfilling and rewarding career choice. Here are some reasons why you should consider pursuing this career:
- High Demand: With the rise of cloud computing and the increasing need for automation, there is a high demand for skilled AWS DevOps Engineers.
- Competitive Salary: AWS DevOps Engineers are in high demand, and therefore command competitive salaries.
- Opportunity for Growth: As an AWS DevOps Engineer, you will have the opportunity to work on a variety of projects and continually learn and develop new skills.
- Collaborative Environment: DevOps is all about collaboration and teamwork, so you will have the opportunity to work closely with developers, operations personnel, and business stakeholders to deliver high-quality software applications.
- Meaningful Work: As an AWS DevOps Engineer, you will be responsible for automating and optimizing the software development lifecycle, which has a significant impact on the success of the business and its customers.
Don’t let fear hold you back from pursuing a career as an AWS DevOps Engineer. While it may seem daunting at first, with the right skills and attitude, you can succeed and thrive in this field. Keep learning and growing your skills, and don’t be afraid to take on new challenges. Pursuing a career as an AWS DevOps Engineer can lead to a fulfilling and rewarding career.
