99 Platform Architecture Jobs

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

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

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

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

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

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

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

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

Project Role : 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 : GCP Dataflow Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BTech Summary :As a Data Platform Architect, you will architect the data platform blueprint and implement the design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your day will involve designing and implementing data platform components, ensuring seamless integration across systems and data models. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data platform architecture design and implementation- Ensure seamless integration between data platform components- Provide guidance and support to Integration Architects and Data Architects Professional & Technical Skills: - Must To Have Skills: Proficiency in GCP Dataflow- Strong understanding of cloud data architecture- Experience with data modeling and data integration- Hands-on experience with data platform implementation- Knowledge of data governance and security practices Additional Information:- The candidate should have a minimum of 7.5 years of experience in GCP Dataflow- This position is based at our Bengaluru office- A BTech degree is required Qualification BTech

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 ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must 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 Platform Engineer Project Role Description : Assists with the data platform blueprint and 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data platform blueprint and design- Implement data platform components- Ensure seamless integration between systems and data models Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of data platform architecture- Experience in data modeling and integration- Knowledge of cloud-based data solutions- Hands-on experience with data platform implementation Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 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 : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Manufacturing Operations Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BE OR BTECH OR MTECH Summary :As a Cloud Platform Architect, you will oversee application architecture and deployment in cloud platform environments, including public cloud, private cloud, and hybrid cloud. Your role involves cloud adoption plans, cloud application design, and cloud management and monitoring. 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 cloud platform architecture design- Develop and implement cloud adoption strategies- Ensure cloud applications meet performance and security requirements Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Operations- Strong understanding of cloud computing principles- Experience in designing and implementing cloud solutions- Knowledge of public, private, and hybrid cloud environments- Hands-on experience with cloud management tools Additional Information:- The candidate should have a minimum of 12 years of experience in Manufacturing Operations- This position is based at our Bengaluru office- A BE, BTECH, or MTECH degree is required Qualification BE OR BTECH OR MTECH

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : ServiceNow IT Operations Management Good to have skills : ServiceNow IT Service ManagementMinimum 5 year(s) of experience is required Educational Qualification : Bachelors Degree in Computer Science or IT or Engineering or related field Additional InformationMandatory Certified ServiceNow ITSM FundamentalsOptional Certified ServiceNow ITOM or GRC ITAM Summary :As an Application Designer for Cloud Migration & Implementation, you will be responsible for assisting in defining requirements and designing applications to meet business process and application requirements using ServiceNow IT Operations Management. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and designing solutions to meet those requirements. Roles & Responsibilities:- Collaborate with cross-functional teams to analyze business requirements and design solutions using ServiceNow IT Operations Management.- Assist in defining requirements and designing applications to meet business process and application requirements.- Develop and maintain technical documentation related to application design and development.- Provide technical guidance and support to development teams during the implementation phase. Professional & Technical Skills: - Must To Have Skills: Strong experience in ServiceNow IT Operations Management.- Good To Have Skills: Experience in ServiceNow IT Service Management.- Experience in designing and developing applications using ServiceNow IT Operations Management.- Strong understanding of ITIL processes and ServiceNow platform architecture.- Experience in integrating ServiceNow with other third-party systems.- Experience in developing custom ServiceNow workflows and business rules. Additional Information:- The candidate should have a minimum of 5 years of experience in ServiceNow IT Operations Management.- This position is based at our Bengaluru office. Qualification Bachelors Degree in Computer Science or IT or Engineering or related field Additional InformationMandatory Certified ServiceNow ITSM FundamentalsOptional Certified ServiceNow ITOM or GRC ITAM

Project Role : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process, cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. Your typical day will involve collaborating with the client team, coordinating with subject matter experts, and leveraging your expertise in sales pursuit management to drive the origination process and achieve sales targets. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- 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 origination process cross service-group deals.- Collaborate with the client team and relevant subject matter experts.- Drive the sales pursuit management and ensure successful deal closures. Professional & Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Experience in managing complex sales pursuits.- Proven track record of achieving sales targets.- Excellent communication and negotiation skills. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Gurugram office.- A BE degree is required. Qualification BE

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs 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 : Sales Origination Practitioner Project Role Description : Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts. Must have skills : Sales Pursuit Management Good to have skills : Google Cloud Platform Architecture, Google Cloud Compute ServicesMinimum 15 year(s) of experience is required Educational Qualification : BE Summary :As a Sales Origination Practitioner, you will orchestrate and lead the entire origination process for cross service-group deal working with the CAL, the client team and relevant subject matter experts. You will be responsible for driving the sales pursuit management and ensuring successful deal closures. This role requires strong leadership skills and the ability to collaborate with multiple teams to achieve sales targets and deliver exceptional customer experiences. Roles and Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- 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 and manage the entire origination process for cross-client, cross service-group deals.- Collaborate with the CAL, client team, and subject matter experts to drive successful deal closures.- Develop and maintain strong relationships with clients and stakeholders.- Provide guidance and support to junior professionals in the sales pursuit management process. Professional and Technical Skills: - Must To Have Skills: Proficiency in Sales Pursuit Management.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Google Cloud Compute Services.- Strong understanding of sales strategies and techniques.- Excellent communication and negotiation skills.- Ability to analyze market trends and identify business opportunities.- Proven track record of achieving sales targets.- Experience in managing complex sales processes.- Ability to build and maintain strong client relationships. Additional Information:- The candidate should have a minimum of 15 years of experience in Sales Pursuit Management.- This position is based at our Chennai office.- A BE degree is required. Qualification BE

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 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 : 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 : NAMinimum 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 : NAMinimum 5 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 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

iOPEX Technologies is seeking to hire a highly specialized Technical Business Analyst to support our major telecom client's ServiceNow Value Cluster . This role will focus on analyzing and translating business/operations requirements from large and mid-market customer contracts into ServiceNow specifications, with the ultimate objective of migrating customer support agents from legacy technical applications to ServiceNow. Key Client Context Position supports the client's Value Cluster area for ServiceNow. Role bridges operations/business teams and ServiceNow implementation/development team. Focus is on large and mid-market customer contracts (non-SMB). Critical objective: Accelerate requirements-to-implementation cycle from months to 1-2 weeks by standardising requirements/template. Ultimate goal : Successfully migrate customer support agents from legacy applications to ServiceNow. Key Responsibilities Understand and interpret the "voice of operations" and business teams handling large customer contracts. Analyze current tools ecosystem (primarily NGST but also other auxiliary systems) used by operations teams. Translate as-is operational processes and requirements into ServiceNow specifications. Create standardized templates for requirement gathering and analysis to streamline the ServiceNow implementation process. Develop feasibility assessments and provide specific recommendations for ServiceNow implementation. Act as technical liaison between operations teams and the ServiceNow implementation team. ServiceNow implementation team will create low-level design documents. Build and maintain standardized processes for converting business requirements to ServiceNow specifications. Identify optimization opportunities during the translation process. Support the migration of customer support agents from legacy systems to ServiceNow. Required Skills Experience 3+ years as a Technical Business Analyst with focus on systems implementation. Strong technical understanding of ServiceNow platform architecture and capabilities. Experience working with large enterprise telecommunications operations. Proven ability to translate complex business processes into technical specifications. Experience with large-scale customer contract management systems. Strong understanding of ITIL framework and its implementation within ServiceNow. Experience creating standardized templates for requirement analysis. Demonstrated success in reducing implementation cycles through process optimization. Experience working with legacy platform migrations to modern cloud platforms. Background in agent support systems and transition planning. Technical Requirements Deep understanding of ServiceNow platform capabilities and technical components. Experience with ServiceNow modules including Customer Service Management , ITSM, and Contract Management. Knowledge of telecommunications industry systems and workflows. Experience in requirements traceability and verification methodologies. Understanding of agent support tools and customer management systems. Additional Qualifications ServiceNow technical certifications highly desired. ITIL v4 certification preferred. Experience with large and mid-market customer management in telecommunications. Demonstrable experience in reducing implementation timeframes through standardized analysis approaches. Background in agent training and transition management.

Job Description:. Director Technology. Location: Hyderabad, India. At AT&T, we are redefining the future of communication by connecting people to greater possibility – with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of around 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one.. The AT&T Technology Services (ATS) organization is helping AT&T modernize its legacy IT infrastructure and migrate as much of it as possible to the cloud while retiring outdated systems. In addition, ATS includes network, business, and consumer technology platforms as well as experts developing new products and services built on AT&T’s leading-edge 5G and fiber connectivity.. Our CIO group, part of AT&T’s Technology Services (ATS) organization, is responsible for advancing information technology performance and delivering technical solutions with a focus on return on investment and increasing efficiency while improving quality and enhancing the experience of end users.. Job Overview. We are seeking a dynamic and results-driven Software Development Director to lead our development and support programs, responsible for driving innovation, delivering value-added solutions, and ensuring operational excellence across the organization. The ideal candidate will have a strong background in cross-platform software engineering, experience of growing teams and delivering projects with expertise in DevOps, Azure Cloud Platform, Java Full Stack development, TM Forum API frameworks, and exceptional leadership skills to inspire and guide high-performing teams.. Key Responsibilities:. Strategic Leadership:. Define and execute the strategic roadmap for development and support programs, aligning with the overall objectives of the CIO group.. Foster a culture of innovation, continuous improvement, and collaboration across cross-functional teams.. Program Management:. Oversee the design, development, and delivery of scalable, secure, and high-quality software solutions.. Lead the adoption of DevOps principles, ensuring streamlined CI/CD pipelines and operational efficiency.. Manage multiple development and support initiatives with a focus on timelines, budgets, and deliverables. Drive improvements through DORA metrics.. Cloud Expertise:. Drive the successful implementation and optimization of solutions on the Azure Cloud Platform, ensuring scalability, availability, and cost efficiency.. Technical Leadership:. Provide technical design and architectural leadership to multiple teams and projects to help ensure applications are integrated and adhere to stated architectural and design principles and industry standards.. Leverage deep knowledge of TM Forum APIs to drive interoperability and seamless integration with industry standards.. People Management:. Lead, mentor, and inspire a diverse team of engineers, developers, and support staff, fostering a culture of ownership and accountability.. Develop career growth opportunities and ensure the team has the skills and tools necessary for success.. Build a collaborative and inclusive work environment to attract and retain top talent.. Stakeholder Engagement:. Collaborate with internal and external stakeholders to identify business needs, provide innovative solutions, and ensure alignment of IT initiatives with organizational goals.. Communicate effectively with executive leadership, providing regular updates on project progress, risks, and opportunities.. Qualifications:. Bachelor’s degree in computer science, Information Technology, or a related field (Master’s degree preferred).. 15+ years of experience in software development, with at least 5 years in a leadership role managing development and support programs.. Proven experience in driving innovation and delivering value-added solutions in a fast-paced environment.. Expertise in DevOps principles and tools (e.g., Jenkins, Docker, Kubernetes).. In-depth knowledge of Azure Cloud Platform architecture and services (e.g., Azure DevOps, Azure Kubernetes Service, Azure Functions).. Strong technical background in Java Full Stack development (e.g., Spring Boot, Angular/React, microservices architecture).. Demonstrated ability to lead large, distributed teams with a proven track record of people leadership and team building.. Exceptional problem-solving skills, with the ability to balance technical and business priorities effectively.. Experience in budget management, vendor negotiations, and resource allocation.. Preferred Skills:. Knowledge on TM Forum APIs, GenAI and their application in telecom/enterprise environments.. Knowledge of emerging technologies and trends in the IT and telecom sectors.. Experience in fostering partnerships with business leaders and external vendors.. Exposure to SaaS solutions like ServiceNow, Workday, Oracle Financials. Weekly Hours:. 40. Time Type:. Regular. Location:. IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge CityAdm: Argus Building, Sattva, Knowledge City. It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.. Show more Show less

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes and for that, we need you to join us.. The Team:. The CRM team is a collaborative, multicultural, and inclusive workforce focused on improving user productivity. Embracing agile methodologies, we're passionate about creating exceptional CRM designs and solutions, while maintaining positive team dynamics.. The Role:. We are seeking a skilled and experienced Senior Salesforce Developer to join our growing team. In this role, you will be responsible for building and maintaining scalable Salesforce solutions that support core business processes across multiple clouds. This is an exciting opportunity to make a direct impact on our Salesforce platform strategy, technical architecture, and user experience.. The work you’ll do:. Design, develop, and maintain scalable Salesforce solutions using Flow, Apex, and Lightning Web Components. Translate business requirements into technical specifications and implement robust solutions. Collaborate with Product Owners, Business Analysts, and key stakeholders to deliver user-centric features. Continuously improve platform performance, usability, and maintainability. Maintain platform documentation, naming conventions, and development standards. Participate in code reviews and contribute to best practice discussions across the team. Support and extend functionality in Salesforce Service Cloud as needed, including features such as case management, Omni-Channel, and automation flows. Contribute to Certinia PSA (Professional Services Automation) development and administration, including customizations, integrations, and reporting. The qualifications you need:. 4+ years of hands-on work as a Salesforce Developer. Salesforce Certified Platform Developer I (required). Knowledge of Salesforce Service Cloud and its key capabilities (preferred). Skilled in Certinia PSA administration and development (a plus). Background working in Agile/Scrum teams, using tools like Jira. Proficient in managing Salesforce deployments across development, UAT, and production environments using Copado or similar DevOps tools. Solid understanding of platform architecture, data modeling, and integration best practices. Familiarity with REST/SOAP APIs and external system integrations. Excellent problem-solving, communication, and documentation skills. Strong English skills and comfort working with international, cross-functional teams. What Celonis Can Offer You:. Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more.. Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.. Connect and Belong: Find community and support through dedicated inclusion and belonging programs.. Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.. Collaborate Globally: Join a dynamic, international team of talented individuals.. Empowered Environment: Contribute your ideas in an open culture with autonomous teams.. About Us:. Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.. Get familiar with the Celonis Process Intelligence Platform by watching this video.. Celonis Inclusion Statement:. At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard that's when creativity and innovation happen.. Your Privacy:. Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices. By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.. Please be aware of common job offer scams, impersonators and frauds. Learn more here.. Show more Show less

The ServiceNow Expert at GES will play a crucial role in driving digitalization at GES through Low Code application development utilizing ServiceNow Platform capabilities. Your responsibilities will develop solutions utilizing ServiceNow platform capabilities. If youre passionate about cutting-edge technology and have a strong background in developing solutions using ServiceNow, we encourage you to apply Interact with stakeholder to understand pain points and provide solution utilizing ServiceNow capabilities. Review existing service catalogues to identify end to end automation opportunities. Prove viability of the proposed solution through PoC or prototypes if required. Collaborate with Service Now platform team to understand existing platform architecture, capabilities, platform usage guidelines and align on ways of working. Perform hands on development for specific solutions as and when needed. Follow industry trend for digitalization of GBS processes utilizing ServiceNow.Build scalable applications based on business requirements. Review and follow the technical governance standard for all the deliverables from the supplier. Effectively co-ordinate with multiple teams for requirements, infrastructure needs Ensure the technical solution aligns with business goals and processes followed by platform best practices and Industry standards. Create and maintain technical req. and design docs including the design maps, use case, functional specifications. Should have excellent stakeholder management skills to understand business expectation and deliver it through multiple teams.Keep abreast of advancements in ServiceNow capabilities. Keep learning new technologies which can solve business problems.Identify the opportunity for improvement in the existing setup and provide consulting solutions with demo. Working alongside other teams, develop quick prototypes, Proof-of-concepts and Minimum-viable-products for the Automation Solutions Who you are: Education: bachelors or masters degree in computer science 7-10 years in developing & designing solutions on ServiceNow platforms. Expert knowhow of Service Now Platform Architecture, data model, different functional modules, Workflow, Integration and automation capabilities. Experienced on different ServiceNow modules like ITSM, EC, HRSD, Source to Pay, Legal service delivery, etc and platform capabilities like NowAssist, GenAI, VA, etc. Expertise in designing & building complex custom apps utilizing App Engine & Automation & Integration hub capabilities. Experienced in developing business rules, UI Policies, Client Scripts, UI Actions, ACLs, APIs, web services, Workflows, Business Rules, transform maps and scoped applications. Experienced in working with GBS function to digitalize business operations through automation & orchestrations. Secondary Skills: Analytical Thinking: Ability to identify business problems that can be addressed through Automation solutions. Collaboration: Work effectively with cross-functional teams within large and matrixed organisations. Innovation: Stay curious and explore technologies trends. Consulting & Customer centric mindset. Experience in developing solutions for GBS domains (Finance, Procurement, HR)