836 Google Jobs - Page 10

: In Scope of Position based Promotions (INTERNAL only) Job Title: Infrastructure b usiness management central LocationPune, India Corporate TitleAS Role Description The mandate for the IBMC associate is to create a center of excellence across business management processes enabling delivery of effective services to support business objectives, drive effectiveness by establishing standards, frameworks and scaling up the best practices and drive efficiency by implementing standards, cross functional collaboration, simplification and automation thereby creating capacity to re-invest. The Techno-BM role incumbent will take responsibility for participation in centralized tasks, supporting the IBMC, CAO and functional COOs. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Your key responsibilities as a BM Work on central processes including but not limited toPerformance Review deck preparation; Hiring Review; FTE tracking; Financial Planning; consolidation of operational KPIs; Org chart and position description maintenance and approval chain management. Collaborate with other team members and IBMC management to deliver on the IBMC objectives of process optimization, automation and centralization agenda. Your key responsibilities as a Digital specialist Incumbent will develop application code, implement technical solutions, and configure applications in different environments; in response to business problems and in accordance with provided requirements and agreed design principles. Design, develop, test, deploy, maintain and improve the software. Design and develop new applications with low/no-code tools (Google Appsheet, Microsoft PowerPlatform, Tableau). Develop strong data back ends using SQL. Identifies dependencies between software product components, between technical components, and between applications and interfaces. Help build a team and cultivate innovation by driving cross-collaboration and execution of projects across multiple teams. Manage individual projects priorities, deadlines and deliverables with your technical expertise. Mentor and train other team members on design techniques, and coding standards Ability to work with business stakeholders to clarify ambiguous requirements and rapidly build proof of concepts to refine ideas and deliver solutions. Leading and collaborating across teams Mentoring and teaching Discovering new techniques and helping others to adopt them You are a team player but comfortable to share ideas, challenge and ask questions You are a continuous learner, innovative and with a positive attitude In-depth knowledge of Python programming language, MS Office products including Microsoft 365 platforms and SQL Familiarity with any one BI tool such as Tableau Familiarity with Agile ways of working, JIRA and Confluence Knowledge of low/no-code tools (Google Appsheet, Microsoft Powerplatform) and how to use them is a plus Familiarity with Google Cloud would be a plus Your skills and experience Extensive working experience in the financial services industry and a clear understanding of Risk and Financial services Expert knowledge and experience with Microsoft products (e.g. Excel, Word, PowerPoint) Knowledge and experience of financial planning processes and people processes Knowledge of Workday a benefit but not essential Team management Ability to work in a fast-paced environment and problem solve How well support you

: Job TitleProduction Stability of AI Chatbot Application, AVP LocationPune, India Role Description The AI chatbot application, designed to assist customers with bank-related queries, is a high-profile, mission-critical system with significant reputational impact. It directly supports customer experience and operational efficiency. The AI chatbot application plays a pivotal role in enhancing customer experience and reducing operational costs by providing 24/7 assistance for banking queries. Ensuring its stability in production is crucial. Given the high stakes of the AI chatbot application, hiring additional team members is essential to mitigate operational risks, maintain production stability, and protect the organizations reputation. These roles will provide the necessary redundancy, scalability, and incident-handling capabilities to ensure the application meets its service-level commitments and delivers a seamless customer experience. Currently, the team is understaffed, and with only one member managing production, the system is at risk of extended downtimes and delays in addressing high-priority incidents. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities (AI/Chatbot Systems) Monitor production systems for performance, availability, and anomalies. Troubleshoot and resolve issues related to the AI chatbot, APIs, or infrastructure. Collaborate with development teams for bug fixes and enhancements. Provide application support by handling and consulting on BAU, Incidents/emails/alerts for the respective applications. Act as an escalation point for user issues and requests and from Level 1/L2 support. Report issues to senior management. Manage and mentor regional L1/L2 team to ensure the team is up to speed and picks up the support duties. Gain detailed knowledge of all business flows, the application architecture, and the hardware configuration for supported applications. Define, document, and maintain procedures, SLAs, and knowledge base to support the platforms to ensure consistent service levels are achieved across the global support team. Build and maintain effective and productive relationships with the stakeholders in business, development, infrastructure, and third-party systems / data providers. Manage incidents through resolution, keeping all stakeholders abreast of the situation and working to minimize impact wherever possible. Conduct post-mortems of incidents and drive relevant feedback into Incident, Problem and Change management programs. Facilitate coordination across L1/L2 and L3/Engineering teams to investigate and resolve an ongoing infrastructure/platform or application issue impacting multiple business lines. Drive the development and implementation of the tools and best practices needed to provide effective support. Collaborate with and deliver initiatives and install these initiatives to drive stability in the environment. Assist in the process to approve all new releases and production configuration changes; ensure development includes all necessary documentation for each change and conduct post-release testing where required. Perform reviews of all open production items with the development team and push for updates and resolutions to outstanding tasks and reoccurring issues. Regularly review and analyze service requests and issues that are raised; seek to improve the process and remove reoccurring tasks where possible. Perform reviews of existing monitoring for the platform and make improvements where possible. The candidate will have to work in shifts as part of a Rota covering EMEA hours and in the event of major outages or issues we may ask for flexibility to help provide appropriate cover. Your skills and experience 5+ years hands on IT support and interacting with application end users. Good analytical and problem-solving skills. Exceptional written and oral communication skills, including the ability to communicate technical information to a non-technical audience and at executive levels. Understanding of ITIL / best practices for supporting a production environment PreferredITIL v3 foundation certification. PreferredExperience in a financial institution or large corporation; good technology background. PreferredPrior experience working in chatbot based communication model or project. Understanding of how to get things done in large organizations, where to use processes and how to build and operate a network. Ability to work across countries, regions, and time zones with a broad range of cultures and technical capability. Technical competency Cloud Technologies: Hands-on experience with Google Cloud Platform (GCP). Strong understanding of Google Cloud Run for managing serverless containerized applications. Proficiency in configuring and managing Google Observability tools (Cloud Monitoring, Logging, and Error Reporting). DevOps Tools: Expertise in GitHub Actions for CI/CD pipelines. Experience with GitHub for version control and collaboration. AI/ML and Chatbot Frameworks[Good to have] Experience with Dialogflow for building and optimizing chatbot applications. Knowledge of Google Moderation API and sensitive data removal services for content safety and compliance. Incident and Operations Management: Familiarity with incident management processes for high-criticality systems. Strong skills in monitoring application performance, troubleshooting, and root cause analysis. Soft Skills: Excellent problem-solving abilities in high-pressure scenarios. Strong communication skills to work effectively with stakeholders and cross-functional teams. Ability to prioritize tasks and manage time effectively in a fast-paced environment. How well support you

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Technical and Professional : Technology-Cloud Platform-GCP Database-Google BigQuery Preferred Skills: Technology-Cloud Platform-Google Big Data-GCP Technology-Cloud Platform-GCP Core Services-GCP Technology-Cloud Platform-GCP Data Analytics Technology-Cloud Platform-GCP Database

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Domain-Retail-Retail Supply Chain & Distribution-Food & Beverages,Technology-Cloud Platform-Google Big Data,Technology-Cloud Platform-Google Cloud - Architecture,Technology-Functional Testing-Mainframe testing-Proterm Preferred Skills: Technology-Cloud Platform-Google Cloud - Architecture-GCP Technology-Cloud Platform-Google Big Data-GCP Technology-Cloud Platform-GCP Data Analytics Technology-Cloud Platform-GCP Database

Educational Bachelor of Engineering Service Line Information Systems Responsibilities About the Role: We are seeking an experienced and highly skilled Infrastructure Administrator to join our dynamic team in Bengaluru. In this critical role, you will be responsible for the administration, management, and operational excellence of our core open-source infrastructure platforms, with a strong focus on Kubernetes. You will play a key part in ensuring the reliability, performance, and security of these essential systems that underpin our services. Key Responsibilities: Kubernetes Cluster Lifecycle Management Administering and managing the complete lifecycle of Kubernetes clusters, including provisioning, configuration, hardening, monitoring, logging, health checks, remediation, backup, and recovery.Developing and executing comprehensive Kubernetes upgrade strategies, encompassing planning, environment preparation, component upgrades (control plane and worker nodes), thorough testing and validation, and robust rollback procedures.Managing and troubleshooting associated Kubernetes components such as Container Runtime Interface (CRI), Container Network Interface (CNI), Container Storage Interface (CSI), Ingress Controllers, and potentially Service Meshes.Implementing and enforcing security best practices within the Kubernetes environment, including RBAC, network policies, and secret management.Optimizing Kubernetes cluster performance through resource management, network tuning, and identifying/resolving bottlenecks. Linux System Administration: Providing strong Linux system administration skills,, configuration, patching, troubleshooting, performance monitoring, security hardening, shell scripting for automation, and user/permissions management.Ensuring the stability and security of the underlying server platform hosting our open-source infrastructure. Knowledge on Azure AKS, Google GKE (Added Advantage): Experience with managed Kubernetes services in the cloud is a significant plus: AKS (Azure Kubernetes Service)Understanding the architecture, features, and management of AKS clusters. This includes deploying and managing AKS clusters, scaling nodes, configuring networking and storage, and integrating with other Azure services.GKE (Google Kubernetes Engine)Familiarity with the architecture, features, and management of GKE clusters. This includes deploying and managing GKE clusters, using node pools, configuring networking and storage, and integrating with other Google Cloud Platform services. Preferred Skills: Technology-Container Platform-Kubernetes

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow)

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune

Key Responsibilities: Develop and maintain scalable full-stack applications using Java, Spring Boot, and Angular for building rich UI screens and custom/reusable components. Design and implement cloud-based solutions leveraging Google Cloud Platform (GCP) services such as BigQuery, Google Cloud Storage, Cloud Run, and PubSub. Manage and optimize CI/CD pipelines using Tekton to ensure smooth and efficient development workflows. Deploy and manage Google Cloud services using Terraform, ensuring infrastructure as code principles. Mentor and guide junior software engineers, fostering professional development and promoting systemic change across the development team. Collaborate with cross-functional teams to design, build, and maintain efficient, reusable, and reliable code. Drive best practices and improvements in software engineering processes, including coding standards, testing, and deployment strategies. Required Skills: Java/Spring Boot (5+ years): In-depth experience in developing backend services and APIs using Java and Spring Boot. Angular (3+ years): Proven ability to build rich, dynamic user interfaces and custom/reusable components using Angular. Google Cloud Platform (2+ years): Hands-on experience with GCP services like BigQuery, Google Cloud Storage, Cloud Run, and PubSub. CI/CD Pipelines (2+ years): Experience with tools like Tekton for automating build and deployment processes. Terraform (1-2 years): Experience in deploying and managing GCP services using Terraform. J2EE (5+ years): Strong experience in Java Enterprise Edition for building large-scale applications. Experience mentoring and delivering organizational change within a software development team.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same. Skill Description: Experience in working with Bluetooth profiles and ability to do analyze air traces to root cause issues Experience in Automotive Infotainment Domain Experience in Modern C++14/17, OOPs, Design patterns . Knowhow with coding guidelines/standards (e.g. MISRA C/C++, CERT C/C++) Experience in Multi-Threading, IPC, RPC: Thrift, DBUS, gRPC , Sockets. Experience in Build tools like Make, CMake and Git workflow. Experience in Linux, GDB, Valgrind, System Debugging skills. Experience with Test-Driven Development, Google-Test, Robot Framework, Python. Shell Understanding Infotainment System Architecture, Design Principles. Know how on Agile Frameworks and tools: Scrum/Kanban, JIRA, Confluence, TMX, R4J Nice to have Experience with Embedded Linux / Yocto/ QNX Knowledge of ASPICE V-Model Processes. Understanding/Experience in containers, hyper visor, virtualization. Experience in Media player, Bluetooth, IAP, Android auto, Device manager , Remote UI. Experience with DevOps-CI/CD. Experience with AppArmour, Threat Modeling, TrustZone, Ability to understand and address Bluetooth security vulnerabilities reported by various research organizations. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) Verbal Communication

Job Summary As a Cloud Infrastructure/Site Reliability Engineer, you will be operating at the intersection of development and operations. Your role will involve engaging in and enhancing the lifecycle of cloud services - from design through deployment, operation, and refinement. You will be responsible for maintaining these services by measuring and monitoring their availability, latency, and overall system health. You will play a crucial role in sustainably scaling systems through automation and driving changes that improve reliability and velocity. As part of your responsibilities, you will administer cloud-based environments that support our SaaS/IaaS offerings, which are implemented on a microservices, container-based architecture (Kubernetes). In addition, you will oversee a portfolio of customer-centric cloud services (SaaS/IaaS), ensuring their overall availability, performance, and security. You will work closely with both NetApp and cloud service provider teams, including those from Google, located across the globe in regions such as RTP, Reykjavk, Bangalore, Sunnyvale, Redmond, and more. Due to the critical nature of the services we support, this position involves participation in a rotation-based on-call schedule as part of our global team. This role offers the opportunity to work in a dynamic, global environment, ensuring the smooth operation of vital cloud services. To be successful in this role, you should be a motivated self-starter and self-learner, possess strong problem-solving skills, and be someone who embraces challenges. Job Requirements • Incident Response and Troubleshooting: Address and perform root cause analysis (RCA) of complex live production incidents and cross-platform issues involving OS, Networking, and Database in cloud-based SaaS/IaaS environments. Implement SRE best practices for effective resolution. • Analysis, and Infrastructure Maintenance: Continuously monitor, analyze, and measure system health, availability, and latency using tools like Prometheus, Stackdriver, ElasticSearch, Grafana, and SolarWinds. Develop strategies to enhance system and application performance, availability, and reliability. In addition, maintain and monitor the deployment and orchestration of servers, docker containers, databases, and general backend infrastructure. • Document system knowledge as you acquire it, create runbooks, and ensure critical system information is readily accessible. • Security Management: Stay updated with security protocols and proactively identify, diagnose, and resolve complex security issues. • Automation and Efficiency: Identify tasks and areas where automation can be applied to achieve time efficiencies and risk reduction. Develop software for deployment automation, packaging, and monitoring visibility. • Issue Tracking and Resolution: Use Atlassian Jira, Google Buganizer, and Google IRM to track and resolve issues based on their priority. • Team Collaboration and Influence: Work in tandem with other Cloud Infrastructure Engineers and developers to ensure maximum performance, reliability, and automation of our deployments and infrastructure. Additionally, consult and influence developers on new feature development and software architecture to ensure scalability. • Debugging, Troubleshooting, and Advanced Support: Undertake debugging and troubleshooting of service bottlenecks throughout the entire software stack. Additionally, provide advanced tier 2 and 3 support for NetApp's Cloud Data Services solutions. • Directly influence the decisions and outcomes related to solution implementation: measure and monitor availability, latency, and overall system health. • Proficiency in Linux/Unix and CORE OS. • Demonstrated experience in scripting and infrastructure automation using tools such as Ansible, Python, Go or Ruby. • Deep working knowledge of Containers, Kubernetes, and Serverless computing implementation. • DevOps development methodologies. • Experience with distributed systems design patterns using tools such as Kubernetes. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. Education • A minimum of 8-12 years of experience is required. • A Bachelor of Science Degree in Computer Science, a master’s degree; or equivalent experience is required.

Overview We have an exciting role of Analyst in Reporting & Insights to drive data-driven decisioning in the marketing and communication space for some of the best brands in the world. We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals. Able to work successfully with teams, handling multiple projects and meeting client expectations. Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields. Masters preferred. 1 to 2 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects. Understanding of marketing mix modelling / econometric analysis / multivariate regression. Experience with coding languages (R, Python, etc.). Understanding of fundamental database concepts and SQL. Strong excel skills (VLOOKUP, Pivot Tables, Macros, and other advanced functions). Excellent communication skills. Experience with data visualization platforms (Qlikview, Plotly, SAS, Tableau, etc.) Prior agency experience Familiarity with digital media concepts & tools and web analytics (Google DCM, Adobe Analytics, Google Analytics etc.) Sounds interesting? Let’s connect: Careers.India@annalect.com Knowledge and experience with syndicated research sources/tools (e.g. ComScore, Nielsen, GfK MRI, Simmons, etc)

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Masters preferred. 1 to 2 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects Good working knowledge and understanding of MMM, SQL, R/Python is a must have skill. Good to have Marketing analytics techniques. Excellent communication skills. Good to have Prior agency experience Good to have Familiarity with digital marketing and media concepts & tools and web analytics (Google DCM, Adobe Analytics, Google Analytics etc.) Good to have Knowledge and experience with syndicated research sources/tools (e.g. ComScore, Nielsen, GfK MRI, Simmons, etc)

rack Your Way into Google! Subscription Support 4LPA + 30K Bonus | 4-Month Premium Role TO APPLY CONTACT: JOY 7996004799 rivera.joy1210@gmail.com (if the call is busy please drop your CV to this whatsapp) Role: Google Subscription Support (Blended Voice + Non-Voice) Type: 4-Month Contract Work Location: Google Office, Mahadevpura, Bangalore Salary: 4 LPA (Fixed) + 30,000 Joining Bonus Shifts: Rotational U.S. Shifts Cab Facility: Day Shift: One-Way Cab Night Shift: Both-Way Cab Exclusive Google Benefits: 3 Meals a Day Breakfast, Lunch & Dinner Free Access to Google Cafeteria & Gym Premium Office Environment Interview Rounds: 1 HR Round 2 Versant (Voice Assessment) 3 Operations Round 4 Spot Offer Immediate Joining! Eligibility: Any Graduate — Excellent Communication Skills (English) — Freshers & Experienced Both Welcome CONTACT: JOY 7996004799 rivera.joy1210@gmail.com (if the call is busy please drop your CV to this whatsapp)

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow)

Job Description (JD) for your requirement at IntouchCX: Job Title: International Voice & Chat Process Executive Company: IntouchCX Location: Hyderabad (Work from Office) Experience Required: Minimum 6 months in International Voice or Chat Process Job Type: Full-Time Working Days: 5 Days a Week (Rotational Shifts) Shifts: Rotational (24/7 Support) Transport: 2-Way Cab Provided Job Description: IntouchCX is hiring experienced professionals for International Voice and Chat Process . If you have prior experience handling international customers and looking for a fast-growing global BPO, this is your opportunity! Roles and Responsibilities: Handle inbound and outbound customer queries through voice or chat channels. Provide excellent customer support and resolve issues in a timely manner. Ensure customer satisfaction and maintain quality service standards. Escalate unresolved queries to the appropriate internal teams. Eligibility Criteria: Minimum 6 months of experience in an international voice or chat process is mandatory. Excellent communication skills in English (both written and verbal). Graduate or Undergraduate with good technical and logical reasoning skills. Comfortable with rotational shifts and night shifts. Salary Package: International Voice Process: Up to 5 LPA International Chat Process: Up to 4.5 LPA Perks and Benefits: 2-Way Cab facility 5 Days Working (2 Rotational Week Offs) Professional Work Culture Growth Opportunities within the organization walkin- 4th floor, 405, aditya trade center, ameerpet

TOP MNC HIRING Job Title: International Voice & Chat Process Executive Company: Multi National Company Location: Hyderabad (Work from Office) Experience Required: Minimum 6 months in International Voice or Chat Process Job Type: Full-Time Working Days: 5 Days a Week (Rotational Shifts) Shifts: Rotational (24/7 Support) Transport: 2-Way Cab Provided Job Description: hiring experienced professionals for International Voice and Chat Process . If you have prior experience handling international customers and looking for a fast-growing global BPO, this is your opportunity! Roles and Responsibilities: Handle inbound and outbound customer queries through voice or chat channels. Provide excellent customer support and resolve issues in a timely manner. Ensure customer satisfaction and maintain quality service standards. Escalate unresolved queries to the appropriate internal teams. Eligibility Criteria: Minimum 6 months of experience in an international voice or chat process is mandatory. Excellent communication skills in English (both written and verbal). Graduate or Undergraduate with good technical and logical reasoning skills. Comfortable with rotational shifts and night shifts. Salary Package: International Voice Process: Up to 5 LPA International Chat Process: Up to 4.5 LPA Perks and Benefits: 2-Way Cab facility 5 Days Working (2 Rotational Week Offs) Professional Work Culture Growth Opportunities within the organization Walk-in : Interviews 4th Floor, 405, Aditya Trade center, Ameerpet

Key Responsibilities AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP). Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation and retraining triggers. Ensure responsible AI by monitoring for issues such as bias, hallucinations, and security vulnerabilities in GenAI outputs. Collaborate with Data Scientists to establish feedback loops for continuous model improvement. Automation & MLOps Best Practices: Establish scalable MLOps practices to support the continuous deployment and maintenance of AI models. Automate model retraining, versioning, and rollback strategies to ensure reliability and compliance. Utilize infrastructure-as-code (Terraform, CloudFormation) to manage AI pipelines. Security & Compliance: Implement security measures to prevent prompt injections, data leakage, and unauthorized model access. Work closely with compliance teams to ensure AI solutions adhere to privacy and regulatory standards (HIPAA, GDPR). Regularly audit AI pipelines for ethical AI practices and data governance. Collaboration & Process Improvement: Work closely with AI Engineers, Product Managers, and IT teams to align AI operational processes with business needs. Contribute to the development of AI Ops documentation, playbooks, and best practices. Continuously evaluate emerging GenAI operational tools and processes to drive innovation. Qualifications & Skills Education: Bachelors or Masters degree in Computer Science, Data Engineering, AI, or a related field. Relevant certifications in cloud platforms (AWS, Azure, GCP) or MLOps frameworks are a plus. Experience: 3+ years of experience in AI/ML operations, MLOps, or DevOps for AI-driven solutions. Hands-on experience deploying and managing AI models, including LLMs and GenAI solutions, in production environments. Experience working with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI. Technical Skills: Proficiency in MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow. Hands-on experience with monitoring tools (Prometheus, Grafana, ELK Stack) for AI performance tracking. Experience with containerization and orchestration tools (Docker, Kubernetes) to support AI workloads. Familiarity with automation scripting using Python, Bash, or PowerShell. Understanding of GenAI-specific operational challenges such as response monitoring, token management, and prompt optimization. Knowledge of CI/CD pipelines (Jenkins, GitHub Actions) for AI model deployment. Strong understanding of AI security principles, including data privacy and governance considerations.

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow)

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow)

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow)

We are looking for an experienced Data Engineer with a strong background in data engineering, storage, and cloud technologies. The role involves designing, building, and optimizing scalable data pipelines, ETL/ELT workflows, and data models for efficient analytics and reporting. The ideal candidate must have strong SQL expertise, including complex joins, stored procedures, and certificate-auth-based queries. Experience with NoSQL databases such as Firestore, DynamoDB, or MongoDB is required, along with proficiency in data modeling and warehousing solutions like BigQuery (preferred), Redshift, or Snowflake. The candidate should have hands-on experience working with ETL/ELT pipelines using Airflow, dbt, Kafka, or Spark. Proficiency in scripting languages such as PySpark, Python, or Scala is essential. Strong hands-on experience with Google Cloud Platform (GCP) is a must. Additionally, experience with visualization tools such as Google Looker Studio, LookerML, Power BI, or Tableau is preferred. Good-to-have skills include exposure to Master Data Management (MDM) systems and an interest in Web3 data and blockchain analytics.

Key Responsibilities: Develop and maintain scalable full-stack applications using Java, Spring Boot, and Angular for building rich UI screens and custom/reusable components. Design and implement cloud-based solutions leveraging Google Cloud Platform (GCP) services such as BigQuery, Google Cloud Storage, Cloud Run, and PubSub. Manage and optimize CI/CD pipelines using Tekton to ensure smooth and efficient development workflows. Deploy and manage Google Cloud services using Terraform, ensuring infrastructure as code principles. Mentor and guide junior software engineers, fostering professional development and promoting systemic change across the development team. Collaborate with cross-functional teams to design, build, and maintain efficient, reusable, and reliable code. Drive best practices and improvements in software engineering processes, including coding standards, testing, and deployment strategies. Required Skills: Java/Spring Boot (5+ years): In-depth experience in developing backend services and APIs using Java and Spring Boot. Angular (3+ years): Proven ability to build rich, dynamic user interfaces and custom/reusable components using Angular. Google Cloud Platform (2+ years): Hands-on experience with GCP services like BigQuery, Google Cloud Storage, Cloud Run, and PubSub. CI/CD Pipelines (2+ years): Experience with tools like Tekton for automating build and deployment processes. Terraform (1-2 years): Experience in deploying and managing GCP services using Terraform. J2EE (5+ years): Strong experience in Java Enterprise Edition for building large-scale applications. Experience mentoring and delivering organizational change within a software development team.

Location Chennai preferrable. JC 59847. Position 3 Band B3. We need candidates who can join before 20th June. RoleTechnical SME, GCP Operations Relevant GCP Experience5+ years LocationOffshore, India Primary Skills: GCP Cloud platform CI/CD through Azure DevOps pipeline/Jenkins, Terraform, git/GitHub Scripting in Bash, Python (Desirable) Automation Secondary Skills: Any public cloud experience like Azure/AWS Kubernetes with Helm/LENS (Secondary -Nice to have) : Experience in administration/operations in GCP cloud environment Experience in implementations in hybrid and pure cloud environments Experience in GCP services like Compute Engine/App Engine/VPCs /Cloud NAT/Load Balancing/and Cloud Storage/Cloud SQL/Cloud Logging and Monitoring. Ability to deploy, manage, and operate scalable, highly available, and fault-tolerant systems using GCP Experience in IAM, GKE, Pub/Sub, Cloud Run, GCP operations suite and database/analytics services like BiqQuery, Dataflow, Cloud SQL, Looker etc. Ensure governance and security via IAM, organization policies, service accounts, and resource hierarchy. Automate infrastructure provisioning using Terraform, integrating with Azure DevOps Pipelines and GitHub Actions for CI/CD workflows. Intermediate to advanced system/network administrator level knowledge of Linux/Unix or Windows systems. Strong knowledge of computer networking (VPC Network, subnets, private access, VPC peering, VPN, hybrid connectivity, routing, Interconnect, load balancing, firewall, HTTP/HTTPS, SSL, DNS etc.). Monitor infrastructure using Cloud Monitoring, set up alerts and dashboards, and optimize for cost and performance. Collaborate with application, DevOps, and security teams for end-to-end delivery and operational excellence. Ability to work in a 24*7 operations environment Outstanding troubleshooting, attention to detail, and communication skills. SensitivityInternal & Restricted Manage and troubleshoot GKE (Google Kubernetes Engine) clusters including networking, ingress, autoscaling, and security policies Key Skills GCP (Mandatory) Hands-on experience running cloud infrastructure in public clouds using GCP Cloud Automation with Terraform in production environment (Mandatory) Any public cloud experience like Azure/AWS Kubernetes with Helm/LENS (Secondary -Nice to have) Scripting in bash, Python (Desirable) Key Competencies Certified in GCP and Terraform Excellent verbal and written communication skills Self-motivated individual capable of independent work Passion to learn, upskill and excel Customer service orientation Problem analysis and solving skills Planning and organizing, attention to detail Mandatory Skills: Google Cloud Admin. Experience5-8 Years.

GCP Engineer GCP developer should have the expertise on the components like Scheduler, DataFlow, BigQuery, Pub/Sub and Cloud SQL etc. Good understanding of GCP cloud environment/services (IAM, Networking, Pub/Sub, Cloud Run, Cloud Storage, Cloud SQL/PostgreSQL, Cloud Spanner etc) based on real migration projects Knowledge of Java / Java frameworks. Have leveraged/ worked with any or all technology areas like Spring boot, Spring batch, Spring boot cloud etc. Experience with API, Microservice design principles and leveraged them in actual project implementation for integration. Deep understanding of Architecture and Design Patterns Need to have knowledge of implementation of event-driven architecture, data integration, event streaming architecture, API driven architecture. Needs to be well versed with DevOps principal and need to have working experience in Docker/containerization. Experience in solution and execution of IaaS, PaaS, SaaS-based deployments, etc. Require conceptual thinking to create 'out of the box solutions Should be good in communication and should be able to handle both customer and development team to deliver an outcome. Mandatory Skills: App-Cloud-Google. Experience5-8 Years.