14 Oct
|
A.P. Moller - Maersk
|
Bengaluru
14 Oct
A.P. Moller - Maersk
Bengaluru
Job Summary
At Maersk, we are modernising our SAP platform landscape to deliver secure, scalable, resilient, and intelligent business operations. SAP Basis DevOps is a critical capability that enables platform automation, cloud transformation, operational excellence, and AI-driven engineering practices across our global SAP ecosystem.
As a Lead Engineer - SAP Basis DevOps, you will lead the engineering, automation, reliability, and continuous improvement of SAP platforms across on-premises and Azure cloud environments. You will combine deep SAP Basis expertise with DevOps, platform engineering, and AI-enabled operations to deliver highly available, secure, and automated SAP services.
You will lead a team of engineers, drive platform strategy, enable cloud transformation, and champion modern engineering practices that improve productivity, reliability, and business outcomes.
Key Responsibilities SAP Platform Engineering
- Lead SAP Basis operations for SAP ECC, S/4HANA, BW, PI/PO, Solution Manager, SAP BTP, and HANA environments.
- Manage installations, upgrades, migrations, refreshes, patching, performance optimisation, and lifecycle management.
- Ensure platform availability, scalability, security, and operational excellence across SAP landscapes.
DevOps, Automation Cloud
- Drive DevOps adoption using Azure DevOps, CI/CD pipelines, Infrastructure as Code, and automation frameworks.
- Automate provisioning, monitoring, patching, compliance, and release management activities.
- Lead SAP cloud transformation initiatives on Microsoft Azure.
- Establish platform standards, reusable automation, and engineering best practices.
AI-Enabled Operations
- Drive adoption of AI, Generative AI,
and AIOps capabilities across SAP platform operations.
- Leverage GitHub Copilot, Microsoft Copilot, Azure OpenAI, and enterprise AI tools to improve engineering productivity and operational effectiveness.
- Implement AI-assisted monitoring, root cause analysis, anomaly detection, capacity planning, and predictive maintenance.
- Integrate AI capabilities into DevOps workflows to improve release quality, automation, and operational insights.
- Ensure responsible, secure, and compliant use of AI technologies in platform operations.
Reliability, Security Governance
- Establish monitoring, observability, incident management, and disaster recovery capabilities.
- Lead root cause analysis, problem management, and continuous improvement initiatives.
- Ensure compliance with security, audit, risk, and governance requirements.
Leadership Collaboration
- Lead and mentor a team of SAP Basis DevOps engineers.
- Provide technical leadership, coaching, and engineering governance.
- Collaborate with SAP, Infrastructure, Security, Cloud, Data, and Product teams to deliver platform capabilities.
- Influence engineering decisions and support enterprise transformation initiatives.
Our Ideal Candidate
- Strong experience in SAP Basis administration and SAP platform engineering.
- Proven expertise in Azure DevOps, automation, CI/CD, and Infrastructure as Code.
- Deep understanding of SAP HANA, platform reliability, security, and high-availability architectures.
- Experience leading SAP cloud transformation and modernisation initiatives.
- Hands-on experience applying AI and Generative AI technologies to engineering, operations, automation, or DevOps processes.
- Strong leadership, stakeholder management, and communication skills.
- Outcome-oriented mindset focused on reliability, automation, innovation, and continuous improvement.
Required Skills & Experience
- Bachelor;s or Master;s degree in Computer Science, Engineering, IT, or related field.
- 12-15+ years of experience in SAP Basis, Platform Engineering, Infrastructure Operations, or DevOps, including leadership of large-scale SAP transformation initiatives.
- Robust expertise in SAP ECC, S/4HANA, BW, PI/PO, SAP BTP, Solution Manager, and SAP HANA/Oracle administration, including upgrades, migrations, performance tuning, and lifecycle management.
- Proven experience with Azure DevOps, CI/CD, DevSecOps, Infrastructure as Code (Terraform, Ansible), and automation using PowerShell, Python, or Shell scripting.
- Hands-on experience managing SAP workloads on Microsoft Azure, with knowledge of HA/DR, security, and platform reliability.
- Familiarity with observability and monitoring tools such as Azure Monitor, Grafana, Splunk, or equivalent.
- Experience leveraging AI and AIOps capabilities, including GitHub Copilot, Microsoft Copilot, and Azure OpenAI, to enhance automation, operations, and engineering productivity.
📌 Lead Engineer (Bengaluru)
🏢 A.P. Moller - Maersk
📍 Bengaluru