Note: The job is a remote job and is open to candidates in USA. Cypress HCM is seeking a Senior DevOps Engineer to design and implement secure, scalable cloud infrastructure on AWS. The role involves developing Infrastructure as Code, building CI/CD pipelines, and collaborating with various teams to support cloud-based applications and data pipelines.

Responsibilities

• Design and implement secure, scalable cloud infrastructure on AWS using services such as S3, EC2, Lambda, and Batch
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform or CloudFormation
• Implement intelligent storage lifecycle management for large-scale data environments to optimize cost and performance
• Build and maintain CI/CD pipelines to automate testing, deployment, and release processes
• Monitor system performance and reliability using tools such as CloudWatch, Datadog, or Splunk, ensuring high availability of cloud services
• Support secure API connectivity and networking between AWS environments and external enterprise systems
• Implement security best practices, including IAM management, encryption, and network controls to protect sensitive data
• Deploy and manage containerized applications using Docker and Kubernetes
• Collaborate with engineering, data, and platform teams to support cloud-based applications and data pipelines

Skills

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering, primarily in AWS environments
• Strong experience with Infrastructure as Code, preferably Terraform
• Experience supporting hybrid or multi-cloud environments, including AWS and Azure
• Hands-on experience with container orchestration platforms such as Kubernetes, EKS, or ECS
• Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
• Strong understanding of cloud security best practices, including IAM, encryption, and secrets management
• Proficiency in scripting or programming languages such as Python, Bash, or Go
• Experience working with large-scale data systems or regulated environments is a plus

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