331 Cloud Platform Jobs

Neev Information is looking for Cloud Engineer to join our dynamic team and embark on a rewarding career journey A Cloud Engineer is responsible for designing, implementing, and maintaining an organization's cloud computing infrastructure The following are some key responsibilities for a Cloud Engineer: Design and implement cloud computing solutions using technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Configure and maintain cloud infrastructure, including virtual machines, storage systems, and network settings Monitor and optimize cloud performance, including resources utilization and cost management Implement and maintain security and compliance measures to ensure the confidentiality, integrity, and availability of data and systems Troubleshoot and resolve cloud infrastructure issues, and perform root cause analysis to prevent future incidents Stay up-to-date with the latest cloud computing technologies, trends, and best practices Requirements: Strong knowledge of cloud computing technologies, such as virtualization, containers, and automation Experience with scripting languages such as Python, Bash, or PowerShell Good understanding of network protocols, security best practices, and compliance standards Strong problem-solving and analytical skills Excellent communication and interpersonal skills

Job Title: Golang Developer Experience: 7+ Years Key Skills: Golang, Linux, Microservices, Nginx/Apache, Shell Scripting, AV Codecs (Dash, HLS), MySQL/Relational DB, Git, Networking, API, CI/CD, Cloud (AWS/Azure), Python, ReactJS.

Skill required- Azure Data Factory, Kubernetes, Azure DevOps Must-Have:- Working experience on Azure DevOps (4+ years) Working experience on Kubernetes - scripting, deployment Data Factory Terraform scripting Ansible Powershell Python, Cloud Formation, Good knowledge of ITIL process (good to have) Must have: Strong knowledge of Kubernetes, Istio Service mesh Linux - CLI and Basic knowledge of the OS Scripting (Bash and YAML) Containerization and Docker essentials Jenkins Pipeline creation and execution SCM Management such as GitHub and SVN Cloud Platform Knowledge Azure Monitoring tools like Grafana, Prometheus, ELK stack Certifications (Good to have): 1. Solutions architect associate 2. Certified Kubernetes Administrator (CKA) Location: Remote, Anywhere in- Delhi / NCR,Bangalore/Bengaluru ,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

SUMMARY Job Role: AWS Cloud Security Architect Location Chennai Experience 2+ years Job Description We are looking for an AWS Cloud Security Architect with at least 2 years of relevant experience. As a Cloud Platform Engineer, you will be responsible for designing, constructing, testing, and deploying cloud application solutions that integrate both cloud and non-cloud infrastructures. You will collaborate with cross-functional teams to ensure solutions meet performance and security standards, validate architecture through practical testing, and manage infrastructure environments to meet organizational demands. Roles & Responsibilities Work independently and become a subject matter expert. Actively participate in team discussions and provide solutions to work-related problems. Assist in developing best practices for cloud application deployment and management. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills Must-Have Skills: Proficiency in Cloud Security Architecture. Good-To-Have Skills: Experience with AWS CloudFormation, understanding of cloud service models (IaaS, PaaS, SaaS), experience with security frameworks and compliance standards in cloud environments, familiarity with automation tools for infrastructure deployment and management. Additional Information Minimum 2 years of experience in Cloud Security Architecture required. This position is based at our Chennai office. A 15 years full-time education is required. Requirements Requirements: Minimum 2 years of experience in Cloud Security Architecture 15 years full-time education

Role: Junior Data Scientist Experience: 0 - 1 Year Qualification: BE / B.Tech, BSc, MCA with a minimum of 80% in academics Location: Chennai Employment: Full-time Note : Year of Passing - 2025 Good knowledge of Data Science concepts and Machine Learning modeling. Hands-on experience or Good knowledge of Python. Good Knowledge of writing complex SQL queries. Good to Have: Knowledge of any cloud platforms (Azure, GCP, AWS) Personal Skills: Good team player. Open to learning new and different technologies Excellent Analytical and Problem-Solving Skills. The ideal candidate should have good communication (written and oral)

0px> Who are we? In one sentence Software Test Team Lead carries management responsibilities for a group of testing engineers; responsible for segments of the planning, design, and execution of tests and is expected to provide professional and technical leadership for the group, raise risks, suggest mitigations and make decisions What will your job look like? You will lead, mentor small teams of functional, automation and nonfunctional testing within a specific project or product; ensure all the project agreed deliverables are completed to the required level of quality and promotes team engagement and motivation. You will provide technical & professional leadership to the testing team members You will provide input to on the test estimations; plan resource needs and ensure effective task allocation. You will plan testing activities milestones; identify and analyze risks and their potential business impact to determine proper prioritization of the testing activities You will ensure integrative coverage of test scenarios You will effectively lead formal and informal reviews with stakeholders, applying experience and knowledge providing technical and managerial perspective You will act as technical interface with other teams to resolve and promote issues, communicate plans and conclusions as well as recommendations for issue closure. You will support and promote test efficiency and optimization initiatives. All you need is... Telecom Billing Experience - Preferable Effective and clear communication skills Mainframe Batch Knowledge with hands on experience on JCL, COBOL, VSAM and CICS Hands on Experience on DB2/IMS/IDMS Hands on experience in Batch Scheduler(ESP/CA7) Hands on Experiences in resolving abends/Error Hands On Exp in Connect Direct(C:D) and MQ series Test Data Preparation in mainframe ( feed data to batch Cycle) Automation tool (QTP, REX) using Mainframe platform Proficient in at least one cloud platform, such as AWS, Azure Experience of System Testing life Cycle(STLC) Experience in Test/defect management tool Experience in writing Quality Test Design Independently Experience in Test Execution Independently Stakeholders Collaboration Why you will love this job: You will be working within an extremely diverse and multi-cultural environment, and a fast growing and dynamic organization You will be provided with a rare learning opportunity within an experienced team, working on high end technology and solutions. You will be working on market leading software for the telecommunications industry

Job description Role: We're looking for a Technical Manager with 6 to 8 years of experience, full-stack expertise, and strong leadership skills. Responsibilities: Team Leadership & Management: Lead, mentor, and grow a team of software engineers, fostering a collaborative and innovative environment Technical Architecture: Design and oversee the implementation of scalable and maintainable software architecture Project Management: Plan, prioritize, and manage development projects, ensuring on-time delivery and quality standards Full Stack Development: Contribute to coding and code reviews across the entire technology stack when needed DevOps & Infrastructure: Guide the team in implementing and improving CI/CD pipelines, infrastructure, and operational practices Technical Strategy: Collaborate with business stakeholders to define technical strategy and roadmap Quality Assurance: Establish and enforce best practices for testing, code quality, and performance. Provide enough documents & metrics for process & data visibility. AI Integration: Lead initiatives to implement and integrate AI tools and solutions to improve our products and processes Database Design & Optimization: Oversee database architecture, performance tuning, and query optimization Innovation: Stay current with emerging technologies and evaluate their potential application to our products Required Qualifications: Qualification: BE/BTech in Computer Science or equivalent. Experience: 6+ years of software development experience with at least 2 years in a leadership role Technical Expertise: Strong proficiency in: Backend: Java, Python, Node.js/Express Frontend: React and modern JavaScript frameworks Databases: PostgreSQL, MySQL, including performance tuning and query optimization DevOps: CI/CD pipelines, containerization (Docker), orchestration (Kubernetes) Cloud Platforms: AWS, Azure, or GCP AI Knowledge: Familiarity with AI tools and frameworks like Langchain and Llamaindex and their practical business applications Software Architecture: Experience designing scalable, maintainable system architectures, including integration protocols for internal/ external apps. Leadership: Proven ability to lead development teams, including hiring, mentoring, and performance management Communication: Excellent verbal and written communication skills, with the ability to translate technical concepts for customers and non-technical stakeholders Project Management: Strong project management skills with experience in Agile methodologies (e.g. Scrum) Preferred Qualifications: Experience with microservices architecture Knowledge of data engineering and big data technologies Familiarity with security best practices and compliance requirements Strategic thinker with strong problem-solving abilities Adaptable to changing priorities in a fast-paced environment Passion for technology and continuous learning Collaborative approach to leadership Results-oriented with strong attention to detail Commitment to fostering an inclusive and diverse team

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Microsoft Power Platform Infrastructure Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE or Equivalent Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Manage and maintain cloud infrastructure and platform environments.- Design and implement cloud-based solutions that meet business requirements.- Conduct architecture reviews to ensure security, scalability, and performance.- Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Platform Infrastructure.- Good To Have Skills: Experience with cloud infrastructure management.- Strong understanding of cloud computing concepts and principles.- Experience with deploying and managing cloud-based applications.- Knowledge of security best practices for cloud environments.- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.- Ability to troubleshoot and resolve issues related to cloud infrastructure.- Excellent problem-solving and analytical skills. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Power Platform Infrastructure.- This position is based at our Mumbai office.- A BE or Equivalent degree is required. Qualification BE or Equivalent

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Google Cloud Platform Architecture Good to have skills : Microsoft Azure ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure seamless migration processes.- Analyze and optimize existing cloud architectures for improved performance and cost-efficiency.- Design and architect cloud infrastructure solutions using Infrastructure as Code (IaC) and Policy as Code (PaC) principles- Develop and implement strategies for secure and scalable cloud environments, leveraging DevSecOps practices- Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud infrastructure- Create and maintain automated deployment pipelines for cloud resources using tools like Terraform and Ansible- Define and enforce policies for cloud resource management and security using tools like Sentinel- Conduct regular assessments of cloud infrastructure to ensure compliance with security standards and best practices- Stay updated with the latest cloud technologies, trends, and best practices to continuously improve infrastructure design and implementation Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Microsoft Azure Architecture.- Strong understanding of cloud migration strategies and best practices.- Familiarity with infrastructure as code tools and automation frameworks.- Experience in assessing and optimizing cloud resource utilization.- Strong understanding of Infrastructure as Code (IaC) and Policy as Code (PaC) concepts- Proficiency in cloud platforms (esp. Azure, GCP) and containerization technologies (Docker, Kubernetes)- Experience with DevSecOps practices and tools- Experience with security and compliance standards in cloud environments.- Knowledge of automation and orchestration tools Additional Information:- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.- Proven experience (min. 3 years) in cloud infrastructure architecture and design- This position is based at our Hyderabad office.- A 15 years full time education is required.- Certification in cloud technologies (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert) Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud servicesDevelop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, Ensure proper cloud application pipeline with production-ready quality. Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Design, build, test, and deploy cloud application solutions that integrate cloud and non-cloud infrastructure.- Deploy infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance.- Collaborate with cross-functional teams to ensure successful delivery of cloud-based solutions.- Stay updated with the latest advancements in cloud technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience in cloud technologies such as AWS, Azure, or Google Cloud Platform.- Experience in deploying infrastructure and platform environments.- Experience in creating a proof of architecture to test architecture viability, security, and performance.- Experience in collaborating with cross-functional teams to ensure successful delivery of cloud-based solutions. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful cloud-based solutions.- This position is based at our Bangalore, Hyderabad, Chennai and Pune Offices.- Mandatory office (RTO) for 2- 3 days and have to work on 2 shifts (Shift A- 10:00am to 8:00pm IST and Shift B - 12:30pm to 10:30 pm IST) Qualification Engineering graduate preferably Computer Science graduate 15 years of full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions and contribute to key decisions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Collaborate with stakeholders to gather requirements and understand business needs.- Design and implement cloud-based solutions that meet business and technical requirements.- Ensure the security, scalability, and reliability of cloud applications.- Troubleshoot and resolve issues related to cloud infrastructure and applications.- Stay up-to-date with the latest trends and best practices in cloud computing.- Conduct performance testing and optimization of cloud applications.- Document and communicate technical solutions and guidelines to team members.- Mentor and guide junior team members in cloud platform engineering best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing concepts and architectures.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of containerization technologies like Docker and Kubernetes.- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.- Good To Have Skills: Experience with DevOps practices and tools.- Experience with CI/CD pipelines and automation frameworks.- Knowledge of scripting languages such as Python or PowerShell.- Solid grasp of networking concepts and protocols.- Understanding of security best practices in cloud environments. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on development and troubleshooting, ensuring that the deployed solutions meet the highest standards of quality and efficiency. Additionally, you will be involved in continuous learning and adaptation to new technologies and methodologies in the cloud domain, contributing to the overall success of the projects you are part of. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of deployed solutions, making necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and deployment strategies.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.- Ability to implement security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : Cloud Network Operations, React.jsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the development and implementation of new features- Conduct code reviews and provide technical guidance to team members Professional & Technical Skills: (Project Specific)-Mandatory Certifications:GCP Associate Cloud Engineer OR GCP Professional Cloud Architect-MUST HAVE S:Hands-on experience in setting Cloud foundations/Landing zone, Cloud infrastructure design, network architecture design & implementation, Cloud security, logging & monitoring, -Hands-on experience in at least two or more disciplines :GKE migration, GCVE migration, CloudBuild & Cloud Run, VM migration to GCE, CI/CD pipeline, -Hands-on experience in writing Infrastructure-as-code using terraform scripting. -Excellent verbal & written communication in English.- Must To Have Skills: Proficiency in Google Cloud Platform Architecture- Good To Have Skills: Experience with Cloud Network Operations- Strong understanding of cloud architecture principles- Hands-on experience in designing and implementing scalable cloud solutions- Knowledge of containerization technologies like Docker and Kubernetes Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Platform Architecture- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Splunk Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : a:15 years of full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your role involves deploying infrastructure and platform environments, creating proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Implement and maintain cloud application solutions.- Collaborate with cross-functional teams to ensure successful deployment.- Conduct architecture testing to ensure security and performance.- Provide technical guidance and support to team members.- Stay updated with the latest cloud technologies and trends. Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk Administration.- Strong understanding of cloud infrastructure and platform environments.- Experience in architecture testing and security assessments.- Hands-on experience in deploying cloud solutions.- Knowledge of cloud integration and non-cloud infrastructure.- Familiarity with cloud security best practices. Additional Information:- The candidate should have a minimum of 3 years of experience in Splunk Administration.- This position is based at our Nagpur office.- A 15 years of full time education is required. Qualification a:15 years of full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create a proof of architecture to test architecture viability, security, and performance. Your typical day will involve working on cloud application solutions, collaborating with cross-functional teams, and ensuring the successful deployment of cloud infrastructure and platforms. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design, build, test, and deploy cloud application solutions.- Integrate cloud and non-cloud infrastructure.- Deploy infrastructure and platform environments.- Create a proof of architecture to test architecture viability, security, and performance.- Collaborate with cross-functional teams.- Ensure successful deployment of cloud infrastructure and platforms. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud application solutions.- Experience in deploying infrastructure and platform environments.- Knowledge of architecture viability, security, and performance testing.- Experience with integrating cloud and non-cloud infrastructure. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Native HANA SQL Modeling & Development Good to have skills : Talend ETL, SAP BusinessObjects Data ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct regular team meetings to discuss progress and challenges- Stay updated on industry trends and technologies to enhance team performance Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Native HANA SQL Modeling & Development- Good To Have Skills: Experience with Talend ETL, SAP BusinessObjects Data Services- Strong understanding of database management and optimization- Expertise in data modeling and schema design- Hands-on experience with SAP HANA Studio and SAP HANA Cloud Platform- Knowledge of data integration and data warehousing concepts Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Native HANA SQL Modeling & Development- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:1 The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.2 The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 year full time education is required Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will collaborate with cross-functional teams to ensure successful implementation of cloud solutions and contribute to key decisions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Collaborate with cross-functional teams to ensure successful implementation of cloud solutions.- Design and build cloud application solutions that integrate cloud and non-cloud infrastructure.- Deploy infrastructure and platform environments.- Create a proof of architecture to test architecture viability, security, and performance.- Contribute to key decisions regarding cloud solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and infrastructure.- Experience with deploying infrastructure and platform environments.- Knowledge of security and performance testing for cloud solutions.- Experience with cloud application development and integration.- Good To Have Skills: Experience with cloud platforms such as AWS or Azure.- Familiarity with containerization technologies such as Docker or Kubernetes.- Knowledge of DevOps practices and tools. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Cloud Technology Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your role involves deploying infrastructure and platform environments, creating proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of cloud-based solutions.- Develop and maintain cloud architecture strategies.- Ensure compliance with security and performance standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Technology Architecture.- Strong understanding of cloud infrastructure.- Experience in deploying cloud solutions at scale.- Knowledge of cloud security best practices.- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. Additional Information:- The candidate should have a minimum of 5 years of experience in Cloud Technology Architecture.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:I.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.II.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.III.Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, AvayaIV.Integrate with IVR systems and Proficiency in webhook setup and API integration.V.Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.VI.Creation of agents in Agent builder and integrating them into end end to pipeline using python.VII.Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.VIII.Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilitiesIX.Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.X.Document technical designs, processes, and setup for various integrations.XI.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:I.The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.II.The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. Your typical day will involve deploying infrastructure and platform environments, creating a proof of architecture to test architecture viability, security, and performance. You will play a crucial role in ensuring the success of cloud-based projects and driving innovation in cloud technology. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and design cloud-based solutions.- Develop and implement cloud infrastructure and platform environments.- Create proof of architecture to test architecture viability, security, and performance.- Ensure the availability, scalability, and reliability of cloud applications.- Troubleshoot and resolve issues related to cloud infrastructure and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing concepts and technologies.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of infrastructure as code tools like Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and Kubernetes. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education