Key skills
AWSAzureCloudEC2KubernetesPythonTerraformBashAIMLEKSCloudFormationLambdaS3IAMCloudWatchKinesisDatadogDynatraceAmazon KinesisSAPCI/CDCollaborationCloud Security
About this role
Role Overview
- Design and implement scalable, secure AWS infrastructure in collaboration with the Architecture team.
- Translate high-level solution designs into production-ready, operational cloud implementations.
- Engineer, deploy, and optimize AWS services including EC2, S3, Lambda, IAM, EBS/EFS, Systems Manager, Secrets Manager, CloudWatch, VPC (configuration-level), NLB, Amazon Kinesis, and related components.
- Design and support migration of workloads from on-premises environments to AWS.
- Develop and maintain Infrastructure as Code (Terraform preferred; CloudFormation acceptable) to standardize and automate provisioning.
- Build, enhance, and maintain CI/CD pipelines for infrastructure and cloud-native deployments.
- Automate provisioning, configuration management, monitoring, and routine operational tasks using scripting (Python, Bash, or similar).
- Engineer and optimize AWS environments to support AI/ML and automation-driven workloads.
- Implement AWS security best practices including IAM governance, encryption, logging, secrets management, and vulnerability remediation in collaboration with the security team.
- Monitor system performance, availability, and reliability using CloudWatch, Datadog, Dynatrace, or similar tools; troubleshoot complex infrastructure issues to minimize downtime.
- Drive cloud cost optimization initiatives and support FinOps best practices.
- Contribute reusable modules, deployment standards, platform improvements, and cloud engineering best practices.
- Mentor junior engineers and Cloud Operations team and provide technical guidance during implementation efforts.
- Maintain clear and comprehensive technical documentation of configurations, processes, and operational procedures.
- Provide operational support for existing Azure workloads, as required.
- Provide basic support for SAP workloads hosted in AWS environments (optional).
- Experience optimizing cloud environments and identifying AI/automation opportunities to drive business value.
- Strong AWS IAM and service configuration expertise.
- CI/CD, DevOps practices, and cloud automation frameworks.
- Scripting and automation skills (Python, Bash, or similar) to streamline provisioning, deployments, and operational tasks.
- Experience with containerization and Kubernetes (EKS preferred).
Requirements
- Bachelor’s degree in computer science, Information Technology, or related field (or equivalent experience).
- 8+ years of hands-on AWS cloud engineering experience.
- Strong experience with core AWS services (EC2, S3, IAM, Lambda, EBS/EFS, CloudWatch, etc.).
- Proven experience implementing Infrastructure as Code (Terraform, Cloud Formation etc.).
- Experience with cloud migration initiatives.
- Strong experience in cloud security practices, vulnerability remediation, and operational governance.
- Experience supporting AI/ML or automation-heavy workloads (preferred).
- Exposure to Azure services is a plus.
Tech Stack
- AWS
- Azure
- Cloud
- EC2
- Kubernetes
- Python
- Terraform
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development