4 Multi Cloud Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience on the following in terms of AI and AI Security: - Threat models. - Security analysis. - Design and integration into AI and ML infra. - Some familiarity with an offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - You may also have a Bachelor's and/or post-graduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews, and processing of all AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor-agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in a holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience in the following in terms of AI and AI Security: Threat models, Security analysis, Design and integration into AI and ML infra, Some familiarity with the offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - Bachelor's and/or postgraduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Previous Experience: Multi-cloud Salesforce implementations across industry domains Platform Experience Financial Services Cloud (FSC) Service Cloud Experience Cloud Certifications Salesforce Platform Developer working on 2 parallel Salesforce tracks

We're Hiring: SAP Technical Solution Architect (S4/HANA) Location: Kochi or Bengaluru Experience: 815 Years Employment Type: Full-Time Client & Budget: Will be discussed during the interview Key Responsibilities: -Lead end-to-end SAP S4/HANA technical architecture and migration to Azure Cloud -Design scalable and cost-efficient SAP infrastructure using Azure services -Collaborate with functional teams to align technical solutions with business goals -Define standards for integration, data migration, and security protocols -Provide performance tuning, availability, and disaster recovery strategies for SAP workloads -Mentor junior team members and act as the technical point of contact -Perform PoC testing and risk assessments related to cloud migration strategies Required Skills & Qualifications: -8+ years of hands-on experience in SAP technical architecture -Proven leadership in SAP S4/HANA migrations, specifically to Azure Cloud -Expertise in SAP Basis, HANA DB, and cloud infrastructure -Strong command over Azure services like Virtual Machines, SAP HANA on Azure, and SAP Cloud Platform -Familiarity with procurement, ERP, and finance modules -Knowledge of cloud security, networking, and integration best practices -Excellent communication and problem-solving skills Preferred Qualifications: -SAP S4/HANA certification -Azure Solutions Architect Expert certification -Experience in hybrid or multi-cloud environments -Exposure to DevOps and CI/CD practices for SAP -Ready to architect the future of SAP in the cloud? Apply now or tag someone who fits this profile! For more details, DM or send your updated resume to anzia.sabreen@bct-consulting.com