7 Must have skills on your resume to stand out
Tags: aws, amazon, resume, career
Published: 2022-04-07 00:58:25

Cloud computing skills are in high demand, without a doubt.

AWS partners we spoke to say that 83% expect the amount of work they're doing to increase in the next year, according to our own research. Cloud professionals have never been in such demand, and with that growth comes incredible demand from businesses worldwide.

The cloud is no longer just a concept for companies; they already have cloud projects and need assistance from skilled AWS professionals to make them successful. But staying up to date in the best cloud practices can be challenging - especially since Amazon Web Services (AWS) is constantly updating its catalog with more products.

The AWS skills you need to highlight on your resume in 2020 are these seven must-have skills that you should highlight on your resume based on what we heard from thousands of people working with AWS.

1. Cloud security

In the beginning cloud technology was viewed with skepticism by early adopters. The security of cloud computing has improved immensely since then, so there is now greater confidence surrounding cloud security than ever before. As a matter of fact, our AWS Market Trends and Salary Survey report ranked security as the third most important consideration when deciding on a cloud provider, with 36% of respondents indicating its significance, up from 13% last year.

Providers and organizations that use AWS have a shared responsibility for security, so companies are in desperate need of cloud professionals who are expert in cloud security and can leverage AWS's security tools. There is no end to this trend.

2. DevOps

As ranked in our AWS Market Trends and Salary Survey, DevOps was the top technical skill that budding AWS professionals would like to possess. The DevOps approach integrates attitudes, practices, and tools to increase development and operations teams' ability to deliver apps and services more quickly.

Innovative and improved products are being developed much faster with this model than with traditional processes. The DevOps process automates the move from development to production, while also monitoring, testing, integrating, and deploying code.Continuous integration, deployment, and development constitute DevOps, which has direct benefits for SaaS applications.

In the AWS community, DevOps skills are highly valued: by 2025, the global DevOps market volume is expected to reach $13 billion.

AWS offers the AWS Certified DevOps Engineer - Professional certification to help professionals in the cloud space demonstrate their DevOps skills. AWS offers the AWS Certified DevOps Engineer - Professional certification to help professionals in the cloud space demonstrate their DevOps skills.

We also asked respondents to rank the top three most used third party DevOps and Big Data tools:

- Jenkins (46%)
- Terraform (23%)
- Ansible (19%)


3. Cloud migration and deployment in multi-cloud environments

As companies seek to get the most out of cloud platforms, more and more are looking to move multiple applications to the cloud. The market intelligence company IDC surveyed nearly 300 enterprise IT decision-makers from US-based enterprises about multi-cloud management in August 2019.

The researchers found that 93% of respondents were using multiple infrastructure clouds for their operations:

- Eighty-one percent use multiple public clouds as well as one or more private or dedicated clouds

- Among those, 11% use multiple private clouds

- The remaining 5% use one public cloud and one private or dedicated cloud

- only 5% use multiple public clouds

One of the biggest challenges for companies is finding the right employees who can assist them in the migration process. The consequences of not doing so include business downtime and data vulnerability, which they are keen to avoid at all costs!

Our report found that cloud migration experience is one of the top 10 skills for successful cloud workers, according to half of the AWS pros we interviewed.

4. Serverless architecture
Currently, serverless applications can be moved from one cloud provider to another with the help of industry-standard technologies and programming languages.
Moreover, serverless application development has become a niche unto itself, as these services are easier to scale and patch. Businesses are now making better abstraction a priority, and it's more than just better server abstraction.

Businesses are now making better abstraction a priority, and it's more than just better server abstraction.

AWS professionals were also asked which AWS services they use most frequently; 93% replied that they regularly use Amazon EC2, Elastic Container Service, AWS Batch, and AWS Lambda.

Both employers and people working on AWS's frontlines recognize the value of serverless architecture!

According to Justin Pirtle, specialist Solutions Architect with Amazon Web Services, every Serverless Architect should be proficient in these skills:

- Microservices and API Design (API Gateway)
- Architectures based on event-handling and asynchronous messages (Amazon Kinesis Data Streams)
- (AWS Rekognition and AWS Step Functions) Workflow orchestration in a distributed, microservices environment
- Environment and programming model based on Lambda computing (AWS Lambda)
- CI/CD patterns with serverless deployment automation (AWS Amplify, AWS Chalice, and AWS Serverless Application Model)
- (Amazon Cognito and AWS Identity and Access Management) Serverless identity management, authentication, and authorization
- comprehensive security solutions
- AWS X-Ray provides logging, metrics, and tracing capabilities for comprehensive application observability
- Properly architect your application

5. Programming Languages

As a result of our conversations with thousands of AWS professionals, we learned that the languages most likely to be in demand for AWS professionals in the next 12 months are JavaScript (51%), GoLang (23%), and Python (22%).

The incredible spin-up times of Python make it a great choice for AWS Lambda environments.

Python has a large library of third-party modules that make interacting with other platforms and languages easy. Aside from being simple and easy to learn, it can also help avoid overcomplicated architecture.

Simon Rogers, Pickr's Software Engineer, has a keen eye for useful programming languages.

6. Containers

AWS professionals should master containers, according to almost two-thirds of respondents. A high ranking was given to those with experience in Docker, Jenkins, and Kubernetes.

Containers give businesses the ability to create hybrid applications, package batch processing jobs, and scale machine learning models quickly since they package the code, configurations, and dependencies of an application into one object.

Containers are a great way to get familiar with Amazon Web Services' cloud computing services - Amazon EC2 is currently one of the most popular container tools on the market.

7. AWS specialty certifications

A typical cloud computing certification follows a fairly straightforward structure; there is a Foundational, Associate, and Professional certification. According to Simon, the following two credentials should help get your attention: "I would recommend AWS Certified Developer - Associate and AWS Solutions Architect - Associate."

In addition, AWS offers three specialization paths. By choosing these paths, you can truly stand out on your resume, especially if you plan to concentrate on a single AWS area. 

Three specializations are available:

Specialization in Advanced Networking - AWS Certified

1. Advanced Networking - Specialty (intermediate) - 9 hours of digital study

2. AWS Certified Advanced Networking - Specialty Exam (certification) - 170 minutes

3. AWS Certified Cloud Practitioner (certification) - 4.5 hour exam

Amazon Web Services Certified Big Data - Specialty

1. Data Analytics Fundamentals (foundational) - 3.5 hours of study

2. One-day classroom-based training on Big Data on AWS for intermediates

3. Preparation for exam: Big Data - Specialty (intermediate) - 1 day of classroom training

4. Specialty (certification) - AWS Certified Big Data - 170 minute exam

5. Optional: AWS Certified Cloud Practitioner (certification) - 4.5 hour test

AWS Certified Security – Specialty

1. AWS Security Fundamentals (foundational) – 2 hours digital study

2. AWS Architecting (intermediate) - 3 days of classroom training

3. The course includes classroom-based training for 3 days on security engineering for AWS (intermediate)

4. Exam time: 170 minutes for AWS Certified Security - Specialty (certification)

5. An optional certification exam for AWS Certified Cloud Practitioners (4.5 hours)

6. Examination for AWS Certified Cloud Practitioner (certification) - 4.5 hours