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Senior Engineer, Applications & Platforms - R01573026

Brillio

Senior Engineer, Applications & Platforms

AWS Infrastructre Engineering: Senior Engineer, Applications & Platforms

About Brillio

Specialization

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.

Requirements

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
  • 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.
  • 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.
  • 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 skills. • Ability to automate repetitive operational activities and improve service reliability. • Good understanding of infrastructure availability, system performance, and incident management. • Strong collaboration and communication skills. • Ability to work effectively with cross-functional technical teams in a production environment.
  • SAP on AWS Cloud Engineer – Python, Terraform & HA

Preferred

  • 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.