Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : Google Cloud Compute Services Good to have skills : DevOps, No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. 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 Implement and maintain CI/CD pipelines Ensure system security against threats Automate deployment processes Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Compute Services, DevOps Strong understanding of cloud technologies Experience with container orchestration tools Knowledge of security best practices in cloud environments Additional Information: The candidate should have a minimum of 5 years of experience in Google Cloud Compute Services This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : Google Cloud Compute Services Good to have skills : DevOps, No Function Specialty Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. 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 Implement and maintain CI/CD pipelines Ensure security measures are in place for systems Automate infrastructure deployment processes Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Compute Services, DevOps Strong understanding of cloud technologies Experience with container orchestration tools Knowledge of security best practices in cloud environments Additional Information: The candidate should have a minimum of 7.5 years of experience in Google Cloud Compute Services This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : GCP Dataflow, Google Dataproc, Google Pub/Sub Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education br/>Key Responsibilities :A:Implement and maintain data engineering solutions using BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Collaborate with data scientists to deploy machine learning modelsC:Ensure the scalability and efficiency of data processing pipelines br/> Technical Experience :A:Expertise in BigQuery, Dataflow, Vertex AI, Dataproc, and Pub/SubB:Hands-on experience with data engineering in a cloud environment br/> Professional Attributes :A:Strong problem-solving skills in optimizing data workflowsB:Effective collaboration with data science and engineering teams Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Business Requirements Analysis, Google Cloud Data Services, Real Time Character Modeling Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. 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 application development process effectively. Ensure seamless communication within the team and stakeholders. Provide guidance and mentorship to team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Business Requirements Analysis, Real Time Character Modeling, Google Cloud Data Services. Strong understanding of business requirements analysis processes. Experience in real-time character modeling techniques. Proficient in utilizing Google Cloud Data Services for data management. Skilled in project management and team leadership. Additional Information: The candidate should have a minimum of 12 years of experience in Business Requirements Analysis. This position is based at our Mumbai office. A 15 years full-time education is required. Qualifications 15 years full time education

Role & responsibilities Job Title: E-commerce Marketing Expert (Social Media & Digital Marketing) We're seeking a skilled E-commerce Marketing Expert to develop and execute comprehensive social media marketing strategies, manage paid advertising campaigns, and optimize our Google My Business profile. The ideal candidate will have experience with Shopify, Myntra, and digital marketing tools. Key Responsibilities: - Develop and execute social media marketing strategies (Facebook, Instagram, YouTube) - Manage paid social media advertising campaigns - Optimize Google My Business profile - Collaborate with cross-functional teams - Analyze performance metrics and adjust strategies - Familiarity with digital marketing strategies Preferred candidate profile Requirements: - Education: Preferred Bachelors degree in Business Administration, Marketing, ecommerce, or a related field - Any graduate - 3-5 years of experience in e-commerce marketing - Good Communication Skills - Proven expertise in social media marketing, content creation, and paid advertising - Strong understanding of Shopify and Myntra, familiarity with ecommerce platforms. - Excellent analytical and problem-solving skills - Experience with influencer marketing, email marketing, and content marketing - High attention to detail with strong organizational skills. - Basic understanding of SEO for product listings. Perks and benefits - PF, ESI, BONUS and Accidental Insurance upto 16 lac - Competitive salary and benefits package - Opportunity to work with a growing e-commerce brand - Collaborative and dynamic work environment

Project Role : Security Delivery Lead Project Role Description : Leads the implementation and delivery of Security Services projects, leveraging our global delivery capability (method, tools, training, assets). Must have skills : Product Security Good to have skills : Google Cloud Data Transfer Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :GCP Security Architect – Cloud Security Strategy, Governance, and ArchitectureWe are seeking an accomplished GCP Security Architect with 12+ years of experience in cloud security architecture, threat modeling, and governance across enterprise-scale environments. This strategic role involves defining secure cloud architecture standards, driving security-first GCP adoption, and automating risk mitigation initiatives across business units. Roles & Responsibilities: Define and implement enterprise-wide GCP security architecture strategy. Design and implement secure GCP architectures aligned with business and compliance needs. Lead design reviews covering IAM (IDP, SSO, MFA), VPC security, VPNs, data encryption, and secure interconnects. Implement Cloud Armor, Cloud Security Command Center, and threat detection pipelines. Conduct threat modeling, risk analysis, and vulnerability assessments for high-impact platforms. Define automated controls and audit checks using Terraform, Cloud Shell, and GCP APIs. Ensure monitoring, logging, and auditing using Cloud Operations Suite. Lead enterprise security design and architecture governance forums. Mentor a team of cloud security professionals and guide platform standardization. Represent GCP security strategy to CISO teams, compliance leadership, and auditors. Define secure-by-design templates and enforce zero-trust access architectures Professional & Technical Skills: Excellent communication skills, including the ability to convey complex security concepts to technical and non-technical stakeholders. Demonstrated proficiency in autonomously managing client relationships with a high level of independence and accountability. Experience of effectively leading teams of various sizes, ranging from small to large, and actively contributing to their skill development and upskilling. Ability to manage multiple tasks and deadlines. Expertise in GCP IAM roles, Identity Federation, and Policy Troubleshooting. Advanced knowledge of VPC SC, KMS, security perimeters, and encryption standards. Hands-on with IaC tools like Terraform, Cloud Shell scripting, and GCP-native tools. Strong understanding of networking protocols, encryption, and authentication mechanisms. Confident communicator with executive presence. Proactive leader capable of owning enterprise transformation initiatives. Strategic thinker with deep technical foundations. Additional Information:Bachelor's or master's degree in engineering or computer science, Information Security, or a related field.Certifications such as Google Cloud Certified – Professional Cloud Security Engineer is a must; CISSP or CCSP preferred. 12+ years in security, including 5+ years specifically with GCP. 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 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 : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Product Security Good to have skills : Google Cloud Data Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :GCP Security Engineer / Associate Architect – Cloud Security Operations & EngineeringWe are looking for GCP Security Engineers / Associate Architects with 5+ years of experience in cloud security engineering and automation. This role supports operational security, control configuration, and secure design practices for GCP workloads. Roles & Responsibilities: Implement GCP security controls:IAM, VPC security, VPNs, KMS, Cloud Armor, and secure networking. Manage GCP identity and access, including SSO, MFA, and federated IDP configurations. Monitor workloads using Cloud Operations Suite and escalate anomalies. Conduct basic threat modeling, vulnerability scanning, and patching processes. Automate security audits and compliance controls using Terraform and Cloud Shell scripting. Assist architects in deploying and maintaining secure-by-default infrastructure. Support audit preparation, policy enforcement, and evidence gathering. Collaborate with cross-functional teams to resolve security alerts and findings. Maintain detailed technical documentation and knowledge sharing resources. Professional & Technical Skills: Working knowledge of IAM, KMS, GCP networking, and cloud policy enforcement. Familiarity with IaC tools (Terraform), scripting, and log analytics. Strong desire to grow in the cloud security domain. Good communication skills and proactive approach to problem-solving. Thrives in a fast-paced, learning-oriented environment. Additional Information:Bachelor's degree in Computer Science, IT, or Information Security.Certifications such as Google Cloud Certified – Professional Cloud Security Engineer is a must; Associate Cloud Engineer is a plus. 5+ years in security or cloud engineering, with at least 1–2 years in GCP. This position is based at our Bengaluru 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 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 : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Product Security Good to have skills : Google Cloud Data Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :GCP Security Architect – Solution Design, Compliance, and Security EngineeringWe are hiring GCP Security Architects with 7+ years of experience in designing secure GCP environments and integrating automated security across deployments. This role emphasizes applied engineering, platform security control implementation, and ensuring audit-ready, secure-by-default environments. Roles & Responsibilities: Design and implement secure, scalable GCP architectures. Configure and maintain IAM (roles, policies, IDP integrations, MFA, SSO). Establish secure configurations for VPCs, VPNs, Data Encryption (KMS), and Cloud Armor. Manage Cloud Security Command Center for visibility, governance, and incident response. Implement Cloud Operations Suite for logging, alerting, and security analytics. Conduct threat modeling, vulnerability assessments, and define remediation paths. Automate security checks and controls using Terraform, Cloud Shell, and CI/CD integrations. Collaborate with platform, DevOps, and risk teams to embed security into development lifecycles. Support audit preparation, policy compliance, and security documentation efforts. Review solution designs and assist with enforcing GCP security guardrails. Professional & Technical Skills: Analytical and detail-oriented with a strong problem-solving mindset. Strong communicator with cross-functional collaboration experience. Continuously stays updated with evolving cloud threat landscapes. Excellent communication skills, including the ability to convey complex security concepts to technical and non-technical stakeholders. Strong working knowledge of IAM, VPC SC, Cloud Armor, encryption practices, and security policy enforcement. Experience with Terraform, automated auditing, and log analysis tools. Additional Information:Bachelor's degree in engineering or computer science, Information Security, or a related field.Certifications such as Google Cloud Certified – Professional Cloud Security Engineer is a must; CCSP preferred. 7+ years in security roles, with 3+ years in hands-on GCP security delivery. This position is based at our Bengaluru office A 15 years full time education is required. Qualification 15 years full time education

Skill required: Record To Report - Invoice Processing Designation: Record to Report Ops Associate Qualifications: BCom/MCom Years of Experience: 1 to 3 years Language - Ability: English(Domestic) - Expert What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.Posting journal entries, preparing balance sheet reconciliations, reviewing entries and reconciliations, preparing cash forecasting statement, supporting month end closing, preparing reports and supports in audits.Refers to the systematic handling and management of incoming invoices within a business or organization. It involves tasks such as verifying the accuracy of the invoice, matching it with purchase orders and delivery receipts, and initiating the payment process. Automated systems and software are often employed to streamline and expedite the invoice processing workflow, improving efficiency and reducing the likelihood of errors. What are we looking for? Google Cloud SQL Adaptable and flexible Ability to perform under pressure Problem-solving skills Agility for quick learning Commitment to quality Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification BCom,MCom

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

We have vacancy for international voice process with our Client for various location. Working days: 5 Days working, 2 rotational off Freshers or Experience: 1 year in Customer service (Voice/ Non-Voice) Salary upto 4lakhs + Allowance + Incentives Roles and Responsibilities Ability to engage in communication and build a conversation around it Building relationships on Chat and Emails. Ability to handle pressure and meet deadlines. Ability to successfully work as a part of a team. Must be an immediate Joiner with Good communication skills. Immediate joining required. Good communication Pls call Albeena 8667573371 for more info Thanks, Albeena 8667573371

Opening for Freshers in BPO Domain for Voice process Night shift. Good comm req Mumbai, Chennai, Bangalore, Hyderabad Freshers & experience with excellent communication skills US shift (6:30pm to 3:30am) Sat & Sun off Cab will be provided Work From Office AR caller / Customer / Technical Support (International Voice) Sal 18k To 30k net Pls call Durga 9884244311 for more info Thanks Durga 9884244311

Lead and guide teams in applying Agile/Scrum practices and principles to enhance team delivery and customer satisfaction. Plan, coordinate, and oversee the implementation of multiple small to medium-sized systems and products . Act as a Scrum Master , coaching teams to reach higher levels of Agile maturity and encouraging self-organization. Facilitate Agile ceremonies such as daily stand-ups, sprint planning, retrospectives , and ensure adherence to Agile values in day-to-day activities. Serve as a buffer and shield for the team, proactively removing impediments and minimizing distractions to support focus and productivity. Foster a safe, transparent, and trusting team environment where open discussion, decision-making, and problem-solving are encouraged. Communicate effectively with internal and external stakeholders , providing clear status updates and enhancing project transparency. Support and guide the Product Owner in backlog grooming, prioritization, and refinement. Lead through a servant leadership style , setting an example for collaboration, commitment, and delivery excellence. Oversee program governance , manage project planning, infrastructure, and ensure alignment with strategic business goals. Act as a liaison to executive sponsors , conducting regular briefings and status updates. Champion the product vision, roadmap, and strategy , aligning with cross-functional teams on dependencies, risks, and objectives. Facilitate weekly PM sync meetings , conduct backlog grooming, and track feature progress to ensure timely and successful delivery. Requirements: 5+ years of hands-on Project Management experience, with proven ability to lead and deliver technical projects. 10-15 years of experience in IT Infrastructure project environments. Strong background in Agile frameworks (Scrum, SAFe), with a track record of successful implementation. Proficient with project management tools such as JIRA , Confluence , and standard office software (Google Workspace, Microsoft Excel). Exceptional communication skills - verbal, written, and presentation - with experience engaging both technical and executive stakeholders. Skilled in risk identification , mitigation planning, scheduling, and multi-project tracking. Comfortable working in fast-paced, deadline-driven environments with the ability to manage multiple priorities simultaneously. High attention to detail and a demonstrated ability to quickly grasp new technologies and business domains. Required Skills Project Management,It Infrastructure,Project Planning

Customer Onboarding / Customer implementation Support Specialist Location: Chennai , Work Mode: Hybrid Shift: Night Shift / Uk Shift (6:30 PM – 4:00 AM IST or 2:00 PM – 11:00 PM) Qualification: Bachelor's Degree is mandatory At Toast , we’re building the restaurant platform that helps restaurants adapt, take control, and get back to doing what they love—growing the businesses they’re passionate about. Bready to make a change? About the Role Join our Onboarding Support team and be the friendly expert that helps new customers get started with Toast. You’ll work behind the scenes to make sure their onboarding journey is smooth, supportive, and successful. Key Responsibilities Leverage product knowledge and customer service expertise to support cross-functional workflows Meet defined SLAs consistently for assigned tasks Manage multiple tasks with competing deadlines efficiently Drive continuous improvement within the onboarding process Collaborate closely with teammates across local and global teams Communicate openly to raise concerns and share suggestions Embrace change and proactively pursue learning opportunities Manage tools including Salesforce.com, Zendesk, JIRA, and Asana Required Skills & Experience 2–4 years of experience in a professional customer service environment, supporting internal teams Bachelor’s degree is mandatory Strong communication skills (verbal and written) Strong Excel skills + proficiency in Google Workspace Experience meeting SLAs in task-driven environments Willingness to work in rotational shifts, including night shifts Proficiency in Google Suite Fast learner, self-starter, and team player We Are Toasters At Toast, our employees are the secret ingredient. We’re committed to diversity, equity, and inclusion. We proudly reflect the diversity of the restaurant industry and create equitable opportunities for all.

AI/ML Engineer Summary Apply Now Noida Full-Time 3-5 Years Industry IT/Artificial Intelligence Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. About The Role Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

About The Role : Job Title Data Engineer for Private Bank One Data Platform on Google Cloud Corporate TitleAssociate LocationPune, India Role Description As part of one of the internationally staffed agile teams of the Private Bank One Data Platform, you are part of the "TDI PB Germany Enterprise & Data" division. The focus here is on the development, design, and provision of different solutions in the field of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes. The PB One Data Platform is the new strategic data platform of the Private Bank and uses the Google Cloud Platform as the basis. With Google as a close partner, we are following Deutsche Banks cloud strategy with the aim of transferring or rebuilding a significant share of todays on-prem applications to the Google Cloud Platform. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Work within software development applications as a Data Engineer to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions. Partner with Service/Backend Engineers to integrate data provided by legacy IT solutions into your designed databases and make it accessible to the services consuming those data. Focus on the design and setup of databases, data models, data transformations (ETL), critical Online banking business processes in the context Customer Intelligence, Financial Reporting and performance controlling. Contribute to data harmonization as well as data cleansing. A passion for constantly learning and applying new technologies and programming languages in a constantly evolving environment. Build solutions are highly scalable and can be operated flawlessly under high load scenarios. Together with your team, you will run and develop you application self-sufficiently. You'll collaborate with Product Owners as well as the team members regarding design and implementation of data analytics solutions and act as support during the conception of products and solutions. When you see a process running with high manual effort, you'll fix it to run automated, optimizing not only our operating model, but also giving yourself more time for development. Your skills and experience Mandatory Skills Hands-on development work building scalabledata engineering pipelinesand other data engineering/modellingwork usingJava/Python. Excellent knowledge of SQL and NOSQL databases. Experience working in a fast-paced and Agile work environment. Working knowledge of public cloud environment. Preferred Skills Experience inDataflow (Apache Beam)/Cloud Functions/Cloud Run Knowledge of workflow management tools such asApache Airflow/Composer. Demonstrated ability to write clear code that is well-documented and stored in a version control system (GitHub). Knowledge ofGCS Buckets, Google Pub Sub, BigQuery Knowledge aboutETLprocesses in theData Warehouseenvironment/Data Lakeand how to automate them. Nice to have Knowledge of provisioning cloud resources usingTerraform. Knowledge ofShell Scripting. Experience withGit,CI/CD pipelines,Docker, andKubernetes. Knowledge ofGoogle Cloud Cloud Monitoring & Alerting Knowledge ofCloud Run, Data Form, Cloud Spanner Knowledge of Data Warehouse solution -Data Vault 2.0 Knowledge onNewRelic Excellent analytical and conceptual thinking. Excellent communication skills, strong independence and initiative, ability to work in agile delivery teams. Good communication and experience in working with distributed teams (especially Germany + India) How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : J ob Title Senior Full Stack Engineer Corporate TitleAssistant Vice President LocationPune, India Role Description Enterprise SRE Team in CB is responsible for making Production Better by boosting Observability and strengthening reliability across Corporate Banking. The team actively works on building common platforms, reference architectures, tools for production engineering teams to standardize processes across CB. We work in agile environment with focus on Customer centricity and outstanding user experience with high reliability and flexibility of technical solutions in mind. With our platform we want to be an enabler for highest quality cloud-based software solutions and processes at Deustche Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities What Youll Do Work on the SLO Dashboard, an application owned by the CB SRE team, ensuring its design (a highly scalable & performant solution), development, and maintenance. Participate in requirement workshops, analyze requirements, perform technical design, and take ownership of the development process. Identify and implement appropriate tools to support engineering automation, including test automation and CI/CD pipelines. Understand technical needs, prioritize requirements, and manage technical debt based on stakeholder urgency. Collaborate with the UI/UX designer while being mindful of backend changes and their impact on architecture or endpoint modifications during discussions. Produce detailed design documents and guide junior developers to align with the priorities and deliverables of the SLO Dashboard. Your skills and experience Several years relevant experiences in software architecture, design, development, and engineering, ideally in banking/finance services industry Strong engineering, solution and domain architecture background and up to date knowledge on software engineering topics such as microservices, streaming architectures, high-performance, horizontal scaling, API design, GraphQL, REST services, database systems, UI frameworks, Distributed Caching (e.g. Apache Ignite, HazelCast, Redis etc.), enterprise integration patterns, modern SDLC practices Good experience in working in GCP (Cloud based technologies) using GKE, CloudSQL (Postgres), Cloudrun, terraform. Good experience in DevOps using GitHub Actions for build, Liquibase pipelines. Fluent in application development stack such as Java/Spring-Boot (3.0+), ReactJS, Python, JavaScript/TypeScript/NodeJS, SQL Postgres DB. Ability to work in a fast-paced environment with competing and alternating priorities with a constant focus on delivery with strong interpersonal skills to manage relationships with a variety of partners and stakeholders; as well as facilitate group sessions AI Integration and Implementation (Nice to have): Leverage AI tools like GitHub Copilot, Google Gemini, Llama and other language models to optimize engineering analytics and workflows. Design and implement AI-driven dashboards and reporting tools for stakeholders Apply AI tools to automate repetitive tasks, analyze complex engineering datasets, and derive trends and patterns. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs