390 Cloud Platform Jobs - Page 15

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 : NA Minimum 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 Bengaluru office. A 15 years full time education is required. Qualifications 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 : NA Minimum 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) Qualifications 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 : Splunk Administration Good to have skills : NA Minimum 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. Qualifications 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 : Oracle Exadata Database Machine Good to have skills : Oracle Database Administration (DBA) Minimum 3 year(s) of experience is required Educational Qualification : 15 Years Regular 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.- Develop and implement 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 on cloud technologies and best practices. Professional & Technical Skills:- Must To Have Skills:Proficiency in Oracle Exadata Database Machine.- Good To Have Skills:Experience with Oracle Database Administration (DBA).- Strong understanding of cloud infrastructure and platform environments.- Knowledge of architecture testing and security protocols.- Experience in deploying and managing cloud applications. Additional Information:- The candidate should have a minimum of 3 years of experience in Oracle Exadata Database Machine.- This position is based at our Mumbai office.- A 15 Years Regular Education is required. Qualifications 15 Years Regular Education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : React Native Good to have skills : AWS Administration, Cloud platform, AWS, Azure. Understand React, C-Ch Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements in a dynamic work environment. 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 Expected to provide solutions to problems that apply across multiple teams Lead the development and implementation of software solutions Conduct code reviews and ensure code quality standards are met Provide technical guidance and mentorship to team members Professional & Technical Skills: Must To Have Skills: Proficiency in React Native Good To Have Skills: Experience with AWS Administration Strong understanding of mobile application development Knowledge of RESTful APIs and integration Experience with Agile development methodologies Ability to troubleshoot and debug complex issues Additional Information: The candidate should have a minimum of 12 years of experience in React Native This position is based at our Hyderabad office A 15 years full-time education is required Qualifications 15 years full time education

locationsIndia, Bangalore time typeFull time posted onPosted 30+ Days Ago job requisition idJR0034276 Job Title: Big Data Architect About Skyhigh Security Skyhigh Security is a dynamic, fast-paced, cloud company that is a leader in the security industry. Our mission is to protect the worlds data, and because of this, we live and breathe security. We value learning at our core, underpinned by openness and transparency. Since 2011, organizations have trusted us to provide them with a complete, market-leading security platform built on a modern cloud stack. Our industry-leading suite of products radically simplifies data security through easy-to-use, cloud-based, Zero Trust solutions that are managed in a single dashboard, powered by hundreds of employees across the world. With offices in Santa Clara, Aylesbury, Paderborn, Bengaluru, Sydney, Tokyo and more, our employees are the heart and soul of our company. Skyhigh Security Is more than a company; here, when you invest your career with us, we commit to investing in you. We embrace a hybrid work model, creating the flexibility and freedom you need from your work environment to reach your potential. From our employee recognition program, to our Blast Talks' learning series, and team celebrations (we love to have fun!), we strive to be an interactive and engaging place where you can be your authentic self. We are on these too! Follow us on and Twitter . Role Overview: The Big Data Architect will be responsible for the design, implementation, and management of the organizations big data infrastructure. The ideal candidate will have a strong technical background in big data technologies, excellent problem-solving skills, and the ability to work in a fast-paced environment. The role requires a deep understanding of data architecture, data modeling, and data integration techniques. About the Role: Design and implement scalable and efficient big data architecture solutions to meet business requirements. Develop and maintain data pipelines, ensuring the availability and quality of data. Collaborate with data scientists, data engineers, and other stakeholders to understand data needs and provide technical solutions. Lead the evaluation and selection of big data tools and technologies. Ensure data security and privacy compliance. Optimize and tune big data systems for performance and cost-efficiency. Document data architecture, data flows, and processes. Stay up-to-date with the latest industry trends and best practices in big data technologies. About You: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. over all 10+ years exp with 5+ years of experience in big data architecture and engineering. Proficiency in big data technologies such as Hadoop mapredue, Spark batch and streaming, Kafka, HBase, Scala, Elastic Search and others. Experience with AWS cloud platform. Strong knowledge of data modeling, ETL processes, and data warehousing. Proficiency in programming languages such as Java, Scala, Spark Familiarity with data visualization tools and techniques. Excellent communication and collaboration skills. Strong problem-solving abilities and attention to detail. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

We are looking for an automation engineer, who will play a crucial role in the cloud software development and QA process, focusing on development and automation required for our cloud platform. If you’re passionate about software engineering and automation, join us in shaping the future of cloud. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Automation engineering Software Development and Automation Troubleshooting and debug Strong communication and collaboration Experience in developing and deploying on cloud platforms Hands on Python Development experience Experience using Container management technology such as Kubernetes and Docker Experience with IBM Cloud Platform Ability and Experience in Developing/ execute end-to-end test cases plans to validate the functionality, performance, and reliability Preferred technical and professional experience Golang experience/knowledge DevOps Experience Linux experience

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 : NA Minimum 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 design and implement cloud-based solutions. Develop and maintain cloud infrastructure and platform environments. Create proof of architecture to test architecture viability, security, and performance. Implement best practices for cloud application development and deployment. 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 containerization technologies like Docker and Kubernetes. Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. 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 Bengaluru 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 : NA Minimum 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 : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 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 : 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 Services Minimum 2 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 services Develop 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 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. 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 : NA Minimum 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 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 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 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 Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education 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 7 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 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 Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education 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 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 7 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 : 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 Services Minimum 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 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 Services Minimum 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 : 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 Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. Exceptional communication, thought leadership, and stakeholder management skills. 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.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 18+ 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 Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 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 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 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 Services Minimum 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 : 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 : NA Minimum 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

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 : NA Minimum 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

Responsibilities: Design, develop, test & maintain apps using latest tech stacks. Collaborate with cross-functional teams on project delivery. Ensure app performance, security & compliance with industry standards.

Role & responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines Work with structured and unstructured data from various sources (APIs, databases, cloud storage, etc.) Optimize data workflows and ensure data quality, consistency, and reliability Collaborate with cross-functional teams to understand data requirements and deliver solutions Maintain and improve our data infrastructure and architecture Monitor pipeline performance and troubleshoot issues in real-time Preferred candidate profile 2-3 years of experience in data engineering or a similar role Proficiency in SQL and Python (or Scala/Java for data processing) Experience with ETL tools (e.g., Airflow, dbt, Luigi) Familiarity with cloud platforms like AWS, GCP, or Azure Hands-on experience with data warehouses (e.g., Redshift, BigQuery, Snowflake) Knowledge of distributed data processing frameworks like Spark or Hadoop Experience with version control systems (e.g., Git) Exposure to data modeling and schema design Experience working with CI/CD pipelines for data workflows Understanding of data privacy and security practices

CGI Information Systems and Management Consultants 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

PYTHON, API AND CLOUD SERVICES DEVELOPERS MNC BULK HIRE, IMMEDIATE JOINERS ONLY MAX 23 LPA MUST: PYTHON, API AND CLOUD SERVICES 100% REMOTE IS APPLICABLE MUST : 6+ YEARS OF EXPERIENCE AS PYTHON BACKEND DEVELOPER WITH STRONG API AND CLOUD EXPERIENCE Required Candidate profile MANDATORY SKILLS : PYTHON, API AND CLOUD SERVICES 100% REMOTE IS APPLICABLE MUST : 6+ YEARS OF EXPERIENCE AS PYTHON BACKEND DEVELOPER WITH STRONG API AND CLOUD EXPERIENCE YOHI@AXYCUBE.IN