386 Cloud Platform Jobs - Page 15

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

Job Title: Java Backend Engineer Responsibilities: Understand architecture requirements and ensure effective design, development, validation, and support activities. Analyze user requirements, envisioning system features and functionality. Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development. Contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms. Ensure effective design, development, validation, and support activities for cloud and containerized solutions. Technical and Professional Requirements: Skills: Proficiency in Java 11+, Spring framework (Boot, Hibernate). Experience with Oracle and PostgreSQL databases. CI/CD with Jenkins pipeline. AWS and Terraform: Amazon Web Services and cloud deployments (S3, SNS, SQS, RDS, DynamoDB, etc.), using tools such as Terraform or AWS CLI. Experience with Mesos/Marathon, Docker, Kubernetes. In-depth knowledge of design issues and best practices. Solid understanding of object-oriented programming. Familiarity with various design, architectural patterns, and software development processes. Experience with both external and embedded databases. Creating database schemas that represent and support business processes. Implementing automated testing platforms and unit tests. Additional Responsibilities: Competencies: Good verbal and written communication skills. Ability to communicate with remote teams effectively. High flexibility to travel. Educational Requirements: Master of Computer Applications, Master of Technology, Master of Engineering, MSc, Bachelor of Technology, Bachelor of Engineering.

Overview We are seeking a highly skilled Senior Architect with extensive experience in leading Hadoop to BigQuery migration projects. As a key member of our team, you will be responsible for designing and implementing scalable solutions that leverage Google Cloud Platform (GCP) technologies, specifically focusing on BigQuery. Your expertise in Big Data technologies, Python scripting, and database migration will be crucial in ensuring the successful transition from Hadoop to BigQuery Responsibilities Key Responsibilities: Lead the architecture and design phases of the Hadoop to BigQuery migration project. Develop strategies and solutions for efficient data ingestion, processing, and storage on GCP. Collaborate with cross-functional teams to ensure alignment with business requirements and technical specifications. Implement best practices for data governance, security, and performance optimization. Provide technical guidance and mentorship to junior team members. Mandatory Skills: GCP Data Engineer Certification Extensive experience with Big Data technologies and frameworks (e.g., Hadoop, BigQuery). Proficiency in Python for scripting and automation. Hands-on experience with Apache Airflow for workflow orchestration. Proven track record in database migration projects, particularly from Hadoop to BigQuery. Optional Skills: Experience with Scala, PySpark, and Spark SQL. Proficiency in Java programming. Familiarity with Informatica or similar ETL tools. Requirements A Bachelor's degree in any field, with a desired MSc/BE/Masters with 15+ years of experience in software development and architecture roles. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Experience working in multi-channel delivery projects

Job Title: Lead IT Infrastructure & Support Company: 91 Springboard Business Hub Private Limited Office Location: Mumbai/Delhi NCR Position Description: 91 Springboard is seeking an experienced and highly skilled Head of IT Infrastructure & Support to lead the organizations IT infrastructure, technical support, and IT operations and requires experience in designing, implementing, and maintaining cutting-edge technology infrastructure while ensuring top-tier technical support for both internal teams and external members. The ideal candidate will drive innovation, optimize systems for performance, and implement best practices to ensure the reliability, security, and scalability of all IT systems across 91 Springboard’s coworking spaces and managed offices. As the Head of IT Infrastructure & Support , you will be responsible for overseeing all aspects of IT systems, networks, cloud infrastructure, and technical support services. Key Responsibilities: 1. IT Infrastructure Management Network Design & Optimization: Lead the design, implementation, and optimization of the entire network infrastructure for coworking spaces, including WAN/LAN, SD-WAN, VPN, routing, and access points. Ensure high availability, redundancy, and performance of all network systems. Cloud Infrastructure: Manage and optimize cloud environments (AWS, Azure, Google Cloud), ensuring efficient use of cloud resources, cost management, and secure configurations for both internal and member-facing services. Data Center & Servers: Oversee on-premises server and storage systems, including virtualization, backup systems, and disaster recovery (DR) planning to ensure business continuity. Wi-Fi & Peripherals: Manage enterprise-grade Wi-Fi systems, network devices (routers, firewalls), end-user devices (laptops, desktops, peripherals), and AV systems for events and conference rooms. 2. IT Security & Compliance Network Security: Implement and continuously improve security measures to protect the IT infrastructure, including firewalls, IDS/IPS, endpoint protection, access control systems and CCTV solutions. Cybersecurity Risk Management: Lead the implementation of security protocols to mitigate vulnerabilities, ensuring the protection of sensitive business and member data. Ensure compliance with regulatory standards such as ISO 27001, GDPR, and SOC 2. Incident Response & Disaster Recovery: Oversee the development and execution of incident management procedures, ensuring swift and effective responses to IT security incidents. Lead post-incident analysis and implement improvements to prevent future incidents. Compliance & Audits: Ensure compliance with internal policies, industry regulations, and best practices. Support internal and external audits for network, cloud, and security compliance. 3. IT Operations & Technical Support Management Support Services Management: Lead the IT support team to ensure effective troubleshooting, resolution of technical issues, and timely service delivery. Ensure high levels of customer satisfaction for both internal employees and coworking members. Incident & Problem Management: Oversee IT incident management processes, ensuring that major incidents are effectively handled, root cause analysis (RCA) is performed, and follow-up actions are implemented to prevent recurrence. Support Process Optimization: Continuously evaluate and enhance IT support processes to improve response times, service quality, and issue resolution. Implement automation tools to streamline support workflows. Service Level Agreements (SLAs): Ensure that SLAs for IT support services are met consistently. Develop and manage KPIs to track the performance of IT support operations. 4. Vendor Management & Procurement Vendor Relations: Manage relationships with key IT vendors, service providers, and consultants to ensure service quality, cost-effectiveness, and adherence to contracts and SLAs. Contract Negotiation: Negotiate contracts with vendors, ensuring optimal pricing, terms, and service level agreements. Oversee renewals and extensions of existing contracts. Procurement Management: Lead the procurement process for IT assets, including hardware, software, cloud services, and network equipment. Ensure the efficient use of resources and manage budgets to optimize costs. 5. IT Strategy, Planning & Execution IT Strategy Development: Work closely with senior leadership to develop and execute the organization’s IT infrastructure strategy. Align IT initiatives with business goals and the needs of the coworking spaces. Technology Roadmap: Develop and maintain a technology roadmap to drive innovation, ensuring that the infrastructure remains cutting-edge and capable of supporting future growth. Project Management: Lead and oversee the planning, execution, and delivery of key infrastructure projects, ensuring they are completed on time, within budget, and in line with business requirements. Manage cross-functional teams to ensure project success. 6. Workplace Technology & Member Experience Coworking Space Technology: Ensure the availability and performance of all technology systems supporting coworking environments, including digital signage (Raspberry Pi), AV setups for events, conference rooms, and meeting areas. Member-Facing Technology: Optimize the technology experience for members, including ensuring fast and reliable Wi-Fi, member services platforms, and support for customized IT requirements. Technology Innovation: Continuously explore and implement innovative solutions that enhance the coworking experience, such as smart office technologies, IoT devices, and automation solutions. 7. Budget & Cost Management IT Budgeting: Develop and manage the IT infrastructure and support services budget, ensuring alignment with business goals and financial constraints. Cost Optimization: Analyze IT costs and identify opportunities for cost savings through Qualifications & Experience: Education: Bachelor's or Master’s degree in Engineering (Computer Science/IT) or related field. Experience: 12+ years in IT infrastructure and support, with at least 5 years in a senior leadership role. Proven experience in managing IT infrastructure for large-scale organizations or coworking spaces. Technical Expertise: The ideal candidate will have expertise in networking (routers, switches, firewalls, SD-WAN, VPNs), cloud platforms (AWS, Azure, Google Cloud), and virtualization (VMware, Hyper-V). They should also have a strong background in network security (firewalls, IDS/IPS, endpoint protection) and experience with data centres, server infrastructure, and disaster recovery. Proficiency in IT service management (ITIL) and leading IT projects (e.g., network upgrades, cloud migrations) using methodologies like PMP or PRINCE2 is essential. A solid understanding of SaaS and software lifecycle management is also required. Preferred certifications include AWS, Azure, Google Cloud, Cisco, and security certifications like CISSP or CISM. This role suits a technically skilled leader who can drive innovation while ensuring security and operational efficiency.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and Supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform