Position Overview

The SAP Basis Consultant is responsible for managing, configuring, monitoring, and maintaining the SAP environment. The role ensures system stability, security, and performance while supporting business needs.

Job Description

• Install, configure, and maintain SAP systems (ECC, S/4HANA, BW, CRM, SCM, etc.).
• Apply support packages, enhancement packs, kernel upgrades, and patches
• Create and manage SAP user roles, authorizations, and security policies.
• Ensure compliance with audit and security standards.
• Performance Monitoring & Tuning, Optimize system resources and troubleshoot performance bottlenecks
• Manage SAP HANA, Oracle, SQL Server, or other databases.
• Perform backups, restores, and database tuning
• Maintain SAP systems integration with third-party applications (SAP PI/PO, BTP, Fiori, Web Dispatcher, etc.)
• Assist with SAP S/4HANA migrations and upgrades.

Job Requirements

• Bachelor’s degree in computer science, Information Technology, or related field.
• 2 years of experience in SAP Basis administration.
• Experience with SAP NetWeaver, SAP HANA, or S/4HANA is a plus.

• Strong understanding of SAP architecture and system landscapes.
• Hands-on experience with OS administration (Windows, Linux, UNIX).
• Knowledge of database administration (SAP HANA, Oracle, DB2, SQL Server).
• Experience with SAP Solution Manager, Transport Management System (TMS), and CTS+.
• Familiarity with scripting (Shell, PowerShell, Python) is a plus.
• Support experience in a cloud-based SAP implementations (AWS, Azure, GCP) is a plus
• Experience in AWS or any other Cloud technologies and Certification is an advantage.
• Experience in GCC 2.0 if any.

Certifications such as SAP Certified Technology Associate – System Administration/SAP HANA Certified Administrator is a plus.

Responsibilities:
• Vulnerability Management:
o Conduct regular vulnerability scans and assessments using industry-standard tools and techniques.
o Analyze scan results, prioritize vulnerabilities based on risk, and develop comprehensive remediation plans.
o Track and report on vulnerability remediation progress, ensuring timely and effective resolution.
o Maintain and continuously improve the organization's vulnerability management program.

• Incident Response:
o Lead incident response efforts, including detection, containment, eradication, and recovery.
o Develop and maintain incident response plans and procedures.
o Conduct post-incident analysis and reporting, identifying lessons learned and recommending improvements.
o Coordinate with internal and external stakeholders during security incidents.
o Monitor security alerts and events, identifying potential security incidents.

• Service Request Management:
o Manage and track service requests related vulnerability management.
o Coordinate with vendors and internal teams to resolve complex issues efficiently.
o Maintain accurate records of service requests, resolutions, and incident timelines.

• Reporting and Communication:
o Prepare and present regular reports on vulnerability status, incident response activities, and service request metrics.
o Communicate effectively with technical and non-technical stakeholders, providing clear and concise updates.
o Develop and maintain security awareness training materials related to incident response and vulnerability management

Qualifications:
• Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience).
• Proven experience in vulnerability management and incident response.
• Experience with vulnerability scanning tools.
• Experience with incident response methodologies and frameworks.
• Strong understanding of network protocols, and infrastructure concepts.
• Experience with network security devices and technologies (e.g., firewalls, IDS/IPS, VPNs).
• Experience with service request management systems.
• Strong analytical and problem-solving skills, with the ability to remain calm under pressure.
• Excellent communication and interpersonal skills.
• Experience in log analysis and SIEM tools is a plus.

Key Responsibilities

• Design and implement robust full-stack applications using .NET C# and Angular
• Develop scalable microservice architectures, and implement containerization and container orchestration
• Integrate AI/ML capabilities within manufacturing software, ensuring seamless interoperability across the ecosystem
• Implement efficient data management and real-time processing solutions, adhering to best practices in cloud-native software design
• Collaborate cross-functionally to align technical solutions with business requirements, evaluating and recommending appropriate technologies
• Contribute to the development of AI models and applications that enhance manufacturing operations and processes

Requirements

• Bachelor/Master's degree in Computer Science, Software Engineering, or a related technical field
• 5+ years of experience in software development, with a focus on backend .NET
• C# and frontend Angular
• Proficient in designing and implementing maintainable, scalable, and secure software architectures
• Hands-on experience with containerization (Docker) and container orchestration (Kubernetes)
• Familiarity with cloud-native technologies and the ability to leverage cloud services from AWS or Azure
• Understanding of DevOps practices, including CI/CD pipelines
• Knowledge of AI/ML frameworks and the ability to integrate AI capabilities within manufacturing software
• Familiarity with industrial IoT and edge computing in manufacturing environments
• Strong problem-solving skills and the ability to learn new technologies quickly

We are seeking for highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

Overview

Experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures. 
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing 
• (NLP) techniques.

Roles and Responsibilities

• Techno-functional consultant to support and configure SAP MM/SD.
• Provide helpdesk support to business user.
• Work closely with internal/external team to deliver, maintain, troubleshoot and enhance SAP functionality.
• Prepare functional specification document, technical specification document and unit testing.
• Provide support to business users during UAT phase of project and resolving issues if any.

Requirement

• Bachelor’s degree in Computer Studies, Information Systems or relevant discipline.
• Minimum 7 years of relevant experience in IT, with a focus on SAP ECC MM/SD support. Prior SAP MM/SD implementation is preferred.
• Good communication skills, both written and verbal.
• Experience in working with interfaces between SAP and 3rd party systems.
• Prior experience in the public sector is preferred.
• SAP certification is a plus