
Senior Engineer, Applications & Platforms
Primary Skills: AWS SageMaker, SAP Basis S/4 HANA Upgrade and Migration, SAP basis support, AWS Network, Python, Linux, Amazon Connect, AWS Development, AWS Managed Services, AWS Infrastructure (Provisioning & Automation), AWS Database, AWS Security
Specialization: AWS Infrastructre Engineering: Senior Engineer, Applications & Platforms
Job requirements: Job Description: SAP on AWS Cloud Engineer – Automation & High Availability Experience: 5 Years Job Summary We are looking for a skilled SAP on AWS Cloud Engineer with 5 years of experience in cloud infrastructure, SAP environments, automation, and system administration. The candidate should have hands-on knowledge of AWS, Python, Bash, Terraform, Linux, Windows, and Pacemaker clustering. Exposure to SAP databases, high availability solutions, and emerging AI technologies such as LLMs, MCP servers, RAG, and prompt engineering will be an added advantage. Key Responsibilities • Design, deploy, configure, and maintain AWS infrastructure supporting SAP workloads. • Support SAP landscapes hosted on AWS, including infrastructure provisioning, system monitoring, troubleshooting, and performance optimization. • Develop and maintain automation scripts using Python and Bash for routine operations, monitoring, health checks, and incident resolution. • Implement Infrastructure as Code (IaC) using Terraform to provision, manage, and maintain AWS resources. • Administer Linux and Windows servers, including patching, configuration, troubleshooting, and performance monitoring. • Configure, manage, and troubleshoot Pacemaker clustering for high availability and failover of critical workloads. • Support SAP infrastructure and collaborate with SAP Basis, database, cloud, security, and application teams. • Work with SAP database technologies, including SAP HANA and Sybase, with an understanding of backup, recovery, replication, and high availability concepts. • Monitor infrastructure availability, investigate incidents, perform root cause analysis, and implement preventive measures. • Follow security standards, change management procedures, backup policies, operational processes, and technical documentation requirements. • Identify opportunities to improve operational efficiency through scripting, infrastructure automation, and AI-enabled solutions. • Explore LLMs, MCP servers, RAG, and prompt engineering for AI-assisted infrastructure operations and enterprise automation use cases. Primary Skills • AWS Cloud Infrastructure and SAP on AWS. • Python and Bash scripting for automation. • Terraform for Infrastructure as Code. • Linux and Windows Server administration. • Pacemaker clustering and high availability management. Secondary Skills • SQL and database fundamentals. • SAP database technologies, particularly SAP HANA and Sybase. • Database high availability, backup, recovery, and disaster recovery concepts. • Understanding of SAP system architecture and infrastructure dependencies. Good-to-Have Skills • Knowledge of Large Language Models (LLMs), Model Context Protocol (MCP) servers, Retrieval-Augmented Generation (RAG), and prompt engineering. • Exposure to AWS CloudWatch, monitoring, logging, and alerting solutions. • Familiarity with Git, CI/CD pipelines, configuration management, and DevOps practices. • Understanding of cloud security, networking, and production support processes. Experience and Qualifications • Minimum 5 years of relevant experience in cloud infrastructure, DevOps, systems administration, or automation. • Hands-on experience with AWS services, Linux administration, Python/Bash scripting, and Terraform. • Practical understanding of high availability and clustering concepts. • Exposure to SAP landscapes running on AWS and SAP database environments. • Bachelor's degree in Computer Science, Information Technology, Engineering, or an equivalent qualification. Key Competencies • Strong analytical, troubleshooting, and problem-solving
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