IT and Development job descriptions

What is a Cloud Engineer?

A Cloud Engineer is a specialized IT professional who focuses on the deployment, maintenance, and optimization of cloud-based systems and services. They work with cloud platforms like AWS, Azure, or Google Cloud to build and manage infrastructure that supports applications and data storage. Cloud Engineers ensure that cloud environments are secure, reliable, and performant, helping organizations transition from traditional on-premises setups to flexible, scalable cloud solutions. Their expertise is essential for modern businesses aiming to enhance agility and reduce operational costs through cloud adoption.

What does a Cloud Engineer do?

Cloud Engineers design and implement cloud infrastructure, including virtual networks, storage, and compute resources, using tools and services from providers like AWS, Azure, or Google Cloud. They automate deployment processes with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation to ensure consistency and efficiency. Additionally, they monitor system performance, troubleshoot issues, and apply security measures like encryption and access controls to protect data. Cloud Engineers also collaborate with development teams to support application deployment and optimize cloud costs, ensuring that the infrastructure aligns with business goals and compliance requirements.

Job Overview

We are seeking a skilled Cloud Engineer to design, implement, and maintain our cloud infrastructure solutions. This role requires expertise in cloud architecture, automation, and security to optimize our cloud environments for scalability, reliability, and cost-efficiency. The ideal candidate will collaborate with development teams to implement cloud-native solutions and drive our cloud strategy forward.

Cloud Engineer responsibilities include:

1. Design and implement secure, scalable cloud infrastructure using AWS, Azure, or GCP 2. Develop infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools 3. Implement and maintain CI/CD pipelines for automated deployment and testing 4. Monitor cloud environments using tools like CloudWatch, Azure Monitor, or Stackdriver 5. Implement security best practices and ensure compliance with industry standards (SOC 2, HIPAA, GDPR) 6. Optimize cloud costs through right-sizing, reserved instances, and spot instances 7. Troubleshoot and resolve cloud infrastructure issues across networking, compute, and storage 8. Automate operational processes using Python, PowerShell, or similar scripting languages

Must-Have Requirements

1. 3+ years of hands-on experience with major cloud providers (AWS, Azure, or GCP) 2. Proficiency in infrastructure as code tools (Terraform, CloudFormation, or ARM templates) 3. Strong scripting skills in Python, PowerShell, or Bash 4. Experience with containerization technologies (Docker, Kubernetes, ECS) 5. Knowledge of networking concepts (VPC, VPN, DNS, load balancing, CDN) 6. Understanding of cloud security principles and identity management (IAM) 7. Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) 8. Bachelor's degree in Computer Science or related technical field

Preferred Qualifications

1. Cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Architect) 2. Experience with multi-cloud architectures and migration strategies 3. Knowledge of serverless computing (AWS Lambda, Azure Functions, Google Cloud Functions) 4. Experience with monitoring and logging tools (Datadog, Splunk, ELK stack) 5. Background in DevOps practices and site reliability engineering (SRE) 6. Experience with database technologies (RDS, Cosmos DB, Cloud SQL) 7. Knowledge of compliance frameworks and security auditing processes

Bonus Skills

1. Experience with cloud cost optimization tools (CloudHealth, Spot.io, Kubecost) 2. Knowledge of service mesh technologies (Istio, Linkerd) 3. Experience with edge computing platforms (CloudFront, Azure CDN, Cloud CDN) 4. Contributions to open-source cloud projects or technical blogs 5. Experience with disaster recovery and business continuity planning 6. Knowledge of machine learning operations (MLOps) in cloud environments 7. Familiarity with cloud-native development patterns and serverless architectures

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Cloud Engineer job description