• Design, develop, test and deploy solutions on SAP Commerce Cloud (Hybris). • Implement new features and perform enhancements or maintenance on existing applications. • Ensure high-quality deliveries in line with technical standards and deadlines. • Collaborate with cross-functional teams (architecture, QA, business and project management). • Participate in requirements analysis and technical solution design. • Write reusable, maintainable and efficient code following best practices. • Mentor and support less experienced developers. • Identify technical risks and propose continuous improvements. • Work within agile methodologies (Scrum or similar).

• Lead the engineering, deployment, and optimization of Azure cloud infrastructure across IaaS, PaaS, and SaaS services • Support data scientists and AI teams in developing and operationalizing AI proof-of-concepts using Azure ML, Azure OpenAI, and Azure Databricks • Develop and maintain Infrastructure as Code (IaC) solutions using Bicep, ARM templates, and Terraform for consistent and automated deployments • Migrate existing cloud resources into IaC frameworks before promotion into higher environments, ensuring version control, automated testing, and policy compliance • Implement DevSecOps practices including automated security scanning, configuration compliance, and policy enforcement in CI/CD pipelines • Engineer Azure compute, storage, networking, identity, AKS, monitoring, and governance components • Integrate SaaS platforms securely with Azure, hybrid, and multi-cloud environments • Produce architecture diagrams, engineering documentation, and technical recommendations • Evaluate emerging Azure services, AI capabilities, and multi-cloud tooling; provide adoption guidance • Contribute to cloud standards, engineering patterns, and modernization roadmaps

• Collaborate with stakeholders to understand business requirements and translate them into scalable and secure cloud architecture. • Design and implement cloud-based solutions using best practices for availability, scalability, and performance. • Develop and manage infrastructure using tools like Terraform or similar. • Automate provisioning, configuration, and deployment of cloud resources. • Deploy applications to Azure cloud platform and manage their lifecycle. • Optimize application performance, monitoring, and troubleshooting. • Implement security controls, encryption, and access management. • Ensure compliance with industry standards and organizational policies. • Set up CI/CD pipelines for automated testing, building, and deploying applications. • Monitor and improve deployment processes. • Work closely with development teams, DevOps engineers, and system administrators. • Document architecture, processes, and procedures.

• Design, implement, and operate scalable, cloud-native data pipelines and platform components on AWS. • Build and maintain ETL/ELT workflows, data lakes, and data mesh components. • Develop, optimize, and troubleshoot PySpark-based data processing jobs for large-scale and time-series datasets. • Design and manage data schemas, tables, permissions, and metadata using AWS Glue Data Catalog and Lake Formation. • Develop and maintain AWS Glue Jobs for data ingestion, transformation, and orchestration. • Build and support event-driven architectures leveraging AWS Lambda, SNS, SQS, and Step Functions. • Integrate internal and external systems through APIs using AWS API Gateway and related services. • Monitor platform health, performance, and operational metrics using Amazon CloudWatch. • Ensure efficient, reliable, secure, and cost-effective data processing across the platform. • Contribute to Infrastructure as Code, CI/CD pipelines, and automated deployment processes. • Collaborate closely with data platform, analytics, and product teams in an Agile (Scrum) environment.