Cloud Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States, Canada

🔍 Industry: Software Development

🏢 Company: Mechanized AI👥 11-50 Artificial Intelligence (AI)Big Data Machine Learning Information Technology Software

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonBashDjangoFlaskFastAPICI/CDLinuxDevOpsTerraform

Requirements:

5+ years of experience in Cloud Engineering/DevOps
3+ years of experience in Python backend development using Flask, Django or FastAPI
Experience working in an environment where all infrastructure is maintained using IaC (e.g., Pulumi, Terraform, CloudFormation)
Strong knowledge of AWS, ideally certified to the associate level (e.g., AWS Solutions Architect Associate, AWS SysOps Associate)
Experience with Linux System Administration with strong understanding of Linux Operating System concepts (e.g., process management, network management, the boot process)
Proficiency in scripting languages (e.g., Bash)
Experience with CI/CD tools (e.g., AWS CodePipeline, Jenkins, GitLab CI, CircleCI)
Understanding of network security, VPCs, firewalls, VPNs, IDS/IPS, and endpoint security
Proficiency in Identity and Access Management (IAM) roles and policies and S3 bucket policies
Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
Ability to work independently and as part of a collaborative team in a fast-paced environment
Effective written and oral communications skills – C1/C2 (advanced/proficient) level English is required

Responsibilities:

Design, implement, and manage CI/CD pipelines with a focus on security at every stage
Implement and manage infrastructure as code (IaC) using tools such as Pulumi, Terraform or CloudFormation
Automate security testing and integrate security tools into the development workflow
Monitor, detect, and respond to security threats and vulnerabilities in a timely manner
Collaborate with development, QA, and IT teams to ensure security best practices are embedded throughout the software lifecycle

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