Mind Computing is seeking an experienced AWS Cloud Engineer to join their team. The role focuses on designing, implementing, and managing scalable cloud infrastructure on Amazon Web Services (AWS) with a focus on automation, infrastructure-as-code, and DevOps best practices.

In this role, you will be responsible for designing, implementing, and managing scalable cloud infrastructure on Amazon Web Services (AWS). You will ensure optimal performance, security, reliability, and cost efficiency by leveraging automation, infrastructure-as-code, and DevOps best practices. This role involves close collaboration with development teams to support the deployment and operation of cloud-based applications across multiple environments.

• Job Location: Remote
• Employment Type: Full-Time
• Benefits: Medical/Dental/Vision, 401k with Employer Match, PTO + Federal Holidays, Corporate Laptop, Training Opportunities
• Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check. Sponsorship is not available.

• Design, develop, and implement AWS cloud architecture leveraging services such as EC2, S3, RDS, VPC, ELB/ALB, EKS, and other AWS-native services, with a focus on scalability, high availability, and disaster recovery.
• Provision and manage AWS resources, including compute, storage, networking, and databases, using the AWS Management Console, CLI, and infrastructure-as-code tools.
• Develop and maintain automated deployment and provisioning of solutions using Terraform and AWS CloudFormation.
• Implement and enforce cloud security best practices, including IAM, encryption at rest and in transit, network segmentation, logging, and compliance with applicable regulatory standards.
• Monitor cloud environments for performance, availability, and cost optimization using AWS monitoring and alerting tools; proactively troubleshoot and resolve issues.
• Integrate cloud infrastructure with CI/CD pipelines to streamline application builds and deployments, leveraging GitHub Actions.
• Collaborate closely with development teams to understand application requirements and translate them into efficient, secure AWS-based solutions.
• Manage application deployments and releases with minimal downtime, using containerization technologies such as Docker and orchestration platforms like Kubernetes (EKS).

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Extensive knowledge of core AWS services, including compute, storage, networking, databases, and security.
• Strong experience with infrastructure automation using Terraform and/or AWS CloudFormation.
• Proficiency in scripting languages such as Python, Bash, or PowerShell for automation and system administration.
• Solid understanding of AWS security principles, shared responsibility model, and best practices for securing cloud environments.
• Strong networking fundamentals, including subnetting, routing, load balancing, firewall rules, and VPN connectivity.
• Proven ability to diagnose and resolve complex technical issues related to AWS infrastructure and CI/CD pipelines.
• Working knowledge of continuous integration and continuous deployment (CI/CD) principles and tools.
• Strong communication skills and the ability to collaborate effectively with cross-functional development teams.

Preferred Qualifications

• One or more of the following certifications: AWS Certified DevOps Engineer – Professional, AWS Certified Advanced Networking – Specialty.
• Proven experience as a Cloud Engineer.
• Hands-on experience managing containerized workloads using Docker and Kubernetes (EKS).
• Familiarity with modern CI/CD tools and practices, including GitHub Actions.

How to Apply
Interested candidates should apply directly through the Breezy portal using the link below:
https://mind-computing.breezy.hr/p/b89ead2f22b1-devops-engineer-remote

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