AWS Engineer (Mid-Level)

AWS Engineers (Mid-Level) are pivotal in organizations that leverage cloud technology for their operations. They are responsible for designing, implementing, and managing robust cloud-based solutions using Amazon Web Services (AWS). With a solid understanding of AWS services, they optimize performance, enhance security, and ensure high availability of applications and infrastructure.

What are the main tasks and responsibilities of an AWS Engineer (Mid-Level)?

An AWS Engineer (Mid-Level) typically engages in a variety of tasks that are essential for effective cloud management and deployment. Their primary responsibilities often include:

Cloud Architecture Design: Designing scalable and efficient cloud architectures that meet the organization's needs while ensuring cost-effectiveness.
Serverless Architectures: Implementing serverless solutions using AWS Lambda and other services to enhance application performance and reduce operational overhead.
Database Management: Utilizing Amazon RDS and Amazon DynamoDB for effective data storage and management, ensuring data integrity and availability.
Networking Configuration: Designing and managing VPCs, security groups, and NACLs to secure cloud resources and facilitate seamless connectivity.
Monitoring and Logging: Implementing AWS CloudWatch and AWS CloudTrail for monitoring system performance, logging activities, and ensuring compliance.
Automation and Scripting: Utilizing Python scripting and AWS CLI automation to streamline deployment processes and improve operational efficiency.
Infrastructure as Code (IaC): Leveraging AWS CloudFormation and Terraform concepts to define and provision cloud resources programmatically.
Performance Optimization: Continuously analyzing and optimizing system performance through load balancing, auto-scaling, and encryption techniques.
Compliance and Auditing: Ensuring adherence to compliance standards and conducting audits of cloud resources and configurations.
Identity and Access Management (IAM): Managing user access and permissions to secure cloud resources and data.
Deployment Strategies: Implementing effective deployment strategies to minimize downtime and ensure smooth transitions during updates.
Technical Support: Providing technical support and troubleshooting assistance to resolve issues related to cloud infrastructure.
Collaboration: Working closely with cross-functional teams to align cloud solutions with business objectives and requirements.
Continuous Learning: Keeping up with the latest AWS services, tools, and best practices to enhance skills and improve organizational capabilities.

AWS Engineers (Mid-Level) are crucial in ensuring that cloud environments are efficient, secure, and aligned with business goals. Their expertise in AWS services and cloud computing principles makes them invaluable in today’s technology-driven landscape.

What are the core requirements of an AWS Engineer (Mid-Level)?

The core requirements for an AWS Engineer (Mid-Level) position typically focus on a blend of technical skills, practical experience, and problem-solving abilities. Here are the key essentials:

Experience with AWS: A solid understanding of AWS services, including but not limited to EC2, S3, RDS, Lambda, and DynamoDB.
Cloud Architecture Knowledge: Familiarity with designing cloud architectures and implementing best practices for cloud deployment.
Scripting Proficiency: Experience with automation and scripting, particularly in Python and AWS CLI, to streamline processes.
Networking Skills: Knowledge of AWS networking concepts, including VPC design, routing, and gateways.
Security Practices: Understanding of AWS security best practices, including IAM, security groups, and compliance standards.
Data Management Skills: Experience with AWS database services and data management strategies.
Monitoring and Logging: Familiarity with AWS CloudWatch and AWS CloudTrail for monitoring and logging activities.
Infrastructure as Code (IaC): Experience with AWS CloudFormation and Terraform for managing cloud resources.
Analytical Skills: Strong analytical and problem-solving skills to troubleshoot and optimize cloud environments.
Team Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams.
Continuous Learning Mindset: Eagerness to stay updated with the latest trends and advancements in cloud computing and AWS technologies.

For organizations looking to enhance their cloud capabilities, hiring a skilled AWS Engineer (Mid-Level) can significantly improve their cloud infrastructure and services. sign up now to create an assessment that identifies the best candidates for your AWS engineering needs.

Discover how Alooba can help identify the best AWS Engineers for your team

Other AWS Engineer Levels

Junior AWS Engineer

A Junior AWS Engineer is an entry-level professional who assists in the design, deployment, and management of cloud-based applications and infrastructure on Amazon Web Services (AWS). They support senior engineers by implementing best practices in cloud architecture, ensuring system reliability, and optimizing performance.

Senior AWS Engineer

A Senior AWS Engineer is an expert in cloud computing who designs, implements, and manages scalable and secure AWS infrastructures. They leverage their extensive knowledge of AWS services, automation, and best practices to optimize resource utilization and ensure high availability, contributing significantly to the organization's cloud strategy.

Lead AWS Engineer

A Lead AWS Engineer is an experienced professional responsible for designing, implementing, and managing scalable cloud-based solutions on Amazon Web Services (AWS). They lead engineering teams, ensure compliance with best practices, and optimize cloud infrastructure for performance, reliability, and security.

Common AWS Engineer Required Skills

Over 200,000 Candidates Can't Be Wrong

Overall, I found the test to be well-designed and comprehensive, effectively assessing the relevant skills and knowledge required for the position. The questions were thought-provoking and challenged me to think critically.

Sami

Senior marketing manager candidate for leading SE Asia corporate

This is really different kind of experience through a interview process, where I like the journey and the motive of this screening process.

Srishti

Strategy analyst candidate for large internet company

I enjoyed taking this assessment, it was refreshing to undergo these kind of test to be able to navigate to the skills and knowledge to do the job.

Aldrin

Senior growth analyst candidate at global travel company

One of the most professional assessments I have ever seen. it is strongly related to the job role and efficient for the talent acquisition team to know more about me.

Ahmad

Marketing strategy candidate at large enterprise

Our Customers Say

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)