2 дня назад
Senior Engineer Cloud Engineering
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer Cloud Engineering (AWS): Deploying, maintaining, and optimizing secure enterprise cloud infrastructure in a hybrid Guadalajara role with an accent on AWS services, infrastructure automation, and Linux administration. Focus on provisioning scalable environments with Terraform or CloudFormation, supporting CI/CD deployments, troubleshooting root causes, and applying AWS security best practices.
Location: Guadalajara, Jalisco, Mexico; hybrid workplace
Company
delivers technology and infrastructure engineering services for enterprise environments.
What you will do
- Deploy, configure, maintain, and optimize AWS cloud infrastructure.
- Provision and manage EC2, VPC, S3, IAM, RDS, Route 53, and Elastic Load Balancer resources.
- Automate infrastructure provisioning with Terraform or AWS CloudFormation.
- Monitor environments using CloudWatch and CloudTrail, troubleshoot incidents, and perform root cause analysis.
- Administer Linux servers and support CI/CD pipeline deployments.
- Implement AWS security best practices and collaborate with application development teams on cloud-hosted applications.
Requirements
- 3+ years of experience in IT infrastructure or cloud engineering.
- 2+ years of hands-on AWS experience.
- Experience with EC2, VPC, S3, IAM, RDS, Route 53, Elastic Load Balancer, and CloudWatch.
- Basic knowledge of Terraform or CloudFormation, Linux administration, and Bash, Python, or PowerShell scripting.
- Familiarity with Git and CI/CD concepts.
- Strong troubleshooting and analytical skills.
Nice to have
- AWS Certified Cloud Practitioner or AWS Solutions Architect – Associate certification.
- Exposure to Docker or Kubernetes.
- Knowledge of DNS, VPN, and TCP/IP networking fundamentals.
Culture & Benefits
- Employee position with a hybrid workplace arrangement.
- Hiring decisions are made by people, with AI tools supporting parts of the application review process.
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