8 Multi Cloud Jobs

Responsibilities: Develop cloud design patterns and architecture framework required for the project implementation. Define architecture standards for the development team, encourage the best practices, prepare the technical documentation for the project deliverables. Translate the Design Into Implementable pattern for the DevOps engineering team. Act as the single point of contact for any technical delivery related to a project. Provide technical thought leadership to the team with solution decisions, technical issues and for internal organization initiatives. Technical guidance and assistance on effort estimation to pre-sales teams for the client proposals. Project management activities include project estimation, work breakdown structure, setting the project schedules and sending the project status reports to clients. Assist Project Management team to help define and organize tasks across the sprints by participating in sprint planning and story point estimation. Mentor and guide the team members on the cloud technologies. Location: Chennai, Coimbatore, Bangalore & Hyderabad Must have skills: Bachelor's degree in Engineering or a related technical field, or equivalent practical experience. 8+ years of experience in the industry with good exposure to Cloud, DevOps, and Automation. 4+ years of experience in designing and architecting public/private cloud preferably AWS Certified in Solutions Architect Professional and/or Specialty in AWS. Must have good knowledge on core infrastructure domains like Networking, Compute, Security, Backup and Monitoring. Proficient in one or more of the following IaC tools Ex: AWS CloudFormation, Terraform, or Ansible. Proficient in one or more of the following scripting languages - Shell, Python, Ruby, Golang, Powershell, etc. Specialist in one or more of the CI/CD tools – Azure DevOps, Jenkins, Gitlab CI, Github Actions, Bitbucket Pipelines. Proficient in various Cloud security tools and their usage. Exposure to containers and container orchestration using Docker,Kubernetes, or any cloud managed Kubernetes services such asAWS ECS,Fargate, EKS, etc. Exposure to AWS Serverless technology – Lambda, Step Function, etc. Exposure to cloud security posture assessment (CSPA) and provide recommendations (AWS Security Hub). Exposure to AWS Well-Architected Framework and their application and recommendation. Expert in Business Continuity plans and related designs (DR). Exposure to cloud infrastructure cost management and optimization. Experience on setting up Datacentre to AWS Cloud connectivity using Site-to-Site VPN and/or Direct Connect. Experience in large scale migrations to cloud, with exposure to end-to- end migration methodology from Discovery, Build & Migration phases Nice to have skills: Seasoned in migrating and transforming legacy solutions to cloud Experience in any of the Database configuration and administration Experience in implementing Landing Zones and Control tower Deployment of Applications or Micro service via DevOps tools K8s Lens or equivalent tools for administration and monitoring Cross platform application integrations

Must have skills: Bachelor's degree in Engineering or a related technical field, or equivalent practical experience. 8+ years of experience in the industry with good exposure to Cloud, DevOps, and Automation. 4+ years of experience in designing and architecting public/private cloud preferably AWS Certified in Solutions Architect Professional and/or Specialty in AWS. Must have good knowledge on core infrastructure domains like Networking, Compute, Security, Backup and Monitoring. Proficient in one or more of the following IaC tools Ex: AWS CloudFormation, Terraform, or Ansible. Proficient in one or more of the following scripting languages - Shell, Python, Ruby, Golang, Powershell, etc. Specialist in one or more of the CI/CD tools – Azure DevOps, Jenkins, Gitlab CI, Github Actions, Bitbucket Pipelines. Proficient in various Cloud security tools and their usage. Exposure to containers and container orchestration using Docker,Kubernetes, or any cloud managed Kubernetes services such asAWS ECS,Fargate, EKS, etc. Exposure to AWS Serverless technology – Lambda, Step Function, etc. Exposure to cloud security posture assessment (CSPA) and provide recommendations (AWS Security Hub). Exposure to AWS Well-Architected Framework and their application and recommendation. Expert in Business Continuity plans and related designs (DR). Exposure to cloud infrastructure cost management and optimization. Experience on setting up Datacentre to AWS Cloud connectivity using Site-to-Site VPN and/or Direct Connect. Experience in large scale migrations to cloud, with exposure to end-to- end migration methodology from Discovery, Build & Migration phases Nice to have skills: Seasoned in migrating and transforming legacy solutions to cloud Experience in any of the Database configuration and administration Experience in implementing Landing Zones and Control tower Deployment of Applications or Micro service via DevOps tools K8s Lens or equivalent tools for administration and monitoring Cross platform application integrations

Job Title: Director of DevOps Experience:10 + Years Locations: Gurgaon Job Summary: The Architect of DevOps will lead the DevOps team to ensure the efficient and effective delivery of software products. This role involves overseeing the development, deployment, and maintenance of software systems, ensuring they meet the highest standards of reliability, scalability, and performance. Key Responsibilities: Develop and implement the DevOps strategy aligned with the companys goals. Lead, mentor, and grow a high-performing DevOps team. Foster a culture of continuous improvement and innovation. Work closely with software development, IT operations, and other stakeholders to streamline processes. Ensure clear communication and collaboration between development and operations teams. Advocate for DevOps best practices across the organization. Oversee the design, implementation, and maintenance of CI/CD pipelines. Ensure the reliability, scalability, and security of infrastructure and applications. Manage cloud infrastructure and services (e.g., AWS, Azure, Google Cloud). Identify and implement automation opportunities to improve efficiency. Monitor and optimize system performance and reliability. Develop and enforce policies for system security and compliance. Plan and manage DevOps projects, ensuring timely delivery and quality. Allocate resources effectively to meet project goals. Track and report on key performance metrics. Required Skills and Qualifications: Technical Expertise : Proficiency in automation tools (e.g., Jenkins, Ansible, Terraform). Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Solid understanding of coding and scripting (e.g., Python, Bash). Proven experience in leading and managing DevOps teams. Strong problem-solving and decision-making skills. Excellent communication and interpersonal skills.

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. - Review the 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. - Contribute to the development of security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Collaborate across domain and solution architects at different sub-competencies of Cyber Security and act as CoE Champion to aggregate 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. - Groom security analysts and solution architects to bring in a holistic perspective in every solution delivery. - Create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Understand linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - 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. - Perform in-depth data analysis including Machine Learning, Classification, Optimization, Time Series analysis, and 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 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 (e.g., 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 Skills: - 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 Ph.D. 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 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