11759 Microsoft Azure Jobs - Page 39

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Job Summary: We are seeking a highly skilled and motivated technical trainer for java and full stack to join our dynamic team. The ideal candidate will have a strong background in Java-based backend development and expertise in frontend frameworks to deliver comprehensive, scalable, and user-friendly web applications. Key Responsibilities: Software Engineering, OOPS Using Java, Project Based learning in Java & Full Stack. Develop and maintain end-to-end web applications using Java for backend and modern frameworks for frontend. Perform code reviews, debug issues, and ensure high-quality code. Strong proficiency in Java, Spring Boot, Hibernate, and RESTful APIs. Experience with relational databases like MySQL, PostgreSQL, or Oracle. Hands-on experience with modern frameworks such as Angular, React, or Vue.js. Familiarity with UI/UX principles and tools like Bootstrap or Material-UI. Experience deploying applications to cloud platforms like AWS, Azure, or Google Cloud. Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or IT. [1 years] of professional experience in full-stack development. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to adapt to a fast-paced development environment. Self-driven and eager to learn new technologies. C all at 8146651512

About The Role Must have 6+ years of work experience in Microsoft Dynamics CRM 365 online In depth technical understanding and hands on experience across projects of Dynamics CRM 2016 onpremise and online configuration and operation. Good to have experience in migration from onpremise to online Must have experience on Power Automate, Power Apps, Azure Functions, Logic apps, Azure Web jobs Experience of a full project lifecycle CRM Projects End-To-End Delivery Must have Good communications skills Must have experience in customizations, JavaScript, C#, SQL Server, plugins, Workflows, scripting and forms .Developing SSRS reports using Microsoft SQL and FetchXML Have knowledge on Azure Dev Ops and Azure Pipeline. Effectively utilize SDK and 3rd party tools such as XRMToolbox for administration of CRM system Experience of data migration 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. Primary Skills Expertise in creation of data mapping and Integration specifications. Hands on experience in leveraging Azure Logic App / Functions to integrate D365 platform with backend applications. Leverage Power Automate flows to integrate with backend applications wherever feasible / applicable. Extensive technical knowledge / configuration expertise of Microsoft Dynamics 365 CE and Power Platform with successful delivery experience of Microsoft Dynamics CRM solutions. Skills (competencies) Verbal Communication

About The Role Solution Architects assess a projects technical feasibility, as well as implementation risks. They are responsible for the design and implementation of the overall technical and solution architecture. They define the structure of a system, its interfaces, the solution principles guiding the organisation, the software design and the implementation. The scope of the Solution Architects role is defined by the business issue at hand. To fulfil the role, a Solution Architect utilises business and technology expertise and experience. - Grade Specific Managing Solution/Delivery Architect - Design, deliver and manage complete solutions. Demonstrate leadership of topics in the architect community and show a passion for technology and business acumen. Work as a stream lead at CIO/CTO level for an internal or external client. Lead Capgemini operations relating to market development and/or service delivery excellence. Are seen as a role model in their (local) community. Certificationpreferably Capgemini Architects certification level 2 or above, relevant solution certifications, IAF and/or industry certifications such as TOGAF 9 or equivalent. Skills (competencies) (SDLC) Methodology Active Listening Adaptability Agile (Software Development Framework) Analytical Thinking APIs Automation (Frameworks) AWS (Cloud Platform) AWS Architecture Business Acumen Business Analysis C# Capgemini Integrated Architecture Framework (IAF) Cassandra (Relational Database) Change Management Cloud Architecture Coaching Collaboration Confluence Delegation DevOps Docker ETL Tools Executive Presence GitHub Google Cloud Platform (GCP) Google Cloud Platform (GCP) (Cloud Platform) IAF (Framework) Influencing Innovation Java (Programming Language) Jira Kubernetes Managing Difficult Conversations Microsoft Azure DevOps Negotiation Network Architecture Oracle (Relational Database) Problem Solving Project Governance Python Relationship-Building Risk Assessment Risk Management SAFe Salesforce (Integration) SAP (Integration) SharePoint Slack SQL Server (Relational Database) Stakeholder Management StorageArchitecture Storytelling Strategic Thinking Sustainability Awareness Teamwork Technical Governance Time Management TOGAF (Framework) Verbal Communication Written Communication

About The Role Design, develop, and executeAPI test casesbased on business and technical requirements. Performfunctional, regression, integration, and performance testingof APIs. Use tools likePostman, SoapUI, REST-assured, Karate, or JMeterfor API validation. Automate API test cases and integrate them intoCI/CD pipelinesusing tools like Jenkins, Git, or Azure DevOps. Validate API responses, status codes, headers, and payloads for accuracy and performance. Collaborate with developers, business analysts, and DevOps teams to ensure test coverage and quality. Log and track defects using tools likeJIRA, TestRail, or ALM. Prepare test reports and provide feedback to stakeholders. - Grade Specific Primary Skill -API Test Engineer

Has published 3-4 mobile apps to iOS/Android stores Built apps from scratch with strong architecture Understands or has worked with ATOMIC design (huge plus) Has an eye for pixel-perfect design Brings bonus experience in AWS or React (web) Flexi working Performance bonus Leave encashment

Job Summary: We are seeking an experienced and strategic Senior Infrastructure Architect to design, implement, and manage scalable, secure, and high-performing IT infrastructure solutions. The ideal candidate will play a key role in aligning infrastructure strategies with business goals, leading architecture reviews, and ensuring operational excellence across cloud and on-premise environments. Key Responsibilities: Design and implement enterprise-level IT infrastructure strategies and roadmaps Define architecture standards for compute, storage, network, virtualization, and cloud environments Lead cloud adoption strategies and hybrid infrastructure integration (AWS, Azure, GCP) Collaborate with IT, security, application, and business teams to align infrastructure with organizational needs Evaluate and select infrastructure technologies, tools, and vendors Ensure high availability, scalability, and disaster recovery planning Guide and mentor junior architects and engineers Manage infrastructure risk assessments and capacity planning Support governance, compliance, and IT security policies Document architectural standards, diagrams, and operational procedures

Job Summary: We are seeking an experienced and strategic Senior Infrastructure Architect to design, implement, and manage scalable, secure, and high-performing IT infrastructure solutions. The ideal candidate will play a key role in aligning infrastructure strategies with business goals, leading architecture reviews, and ensuring operational excellence across cloud and on-premise environments. Key Responsibilities: Design and implement enterprise-level IT infrastructure strategies and roadmaps Define architecture standards for compute, storage, network, virtualization, and cloud environments Lead cloud adoption strategies and hybrid infrastructure integration (AWS, Azure, GCP) Collaborate with IT, security, application, and business teams to align infrastructure with organizational needs Evaluate and select infrastructure technologies, tools, and vendors Ensure high availability, scalability, and disaster recovery planning Guide and mentor junior architects and engineers Manage infrastructure risk assessments and capacity planning Support governance, compliance, and IT security policies Document architectural standards, diagrams, and operational procedures

Role & responsibilities Manage, improve, and maintain our tools and services stack across the organization and deliver value incrementally Maintain and enhance our current set of managed services, which include: Kubernetes, MongoDB, MongoDB Atlas, MySQL, Elasticsearch, Redis, RabbitMQ, and PostgreSQL Build mature applications and services to enable Product Development teams through in-house self-service portal Collaborate with Development and Engineering teams to understand gaps and requirements while meeting expectations Architect and implement solutions for internal self-service offering technical architecture diagrams and user guides for internal administrators, operators, and users Join team meetings daily and as needed and collaborate with peers and teams within the organization Troubleshoot issues by reviewing information at hand, develop detailed implementation plan with automation and test details, and mentoring team members Be on a rotational on-call schedule with the team Perform other duties as assigned by a supervisor/manager or team lead depending on severity and business needs Occasional travel as necessary Basic Qualifications: Bachelor's degree in computer science, Engineering, Software Engineering, or a related field, however equivalent work experience in similar position may be substituted for educational requirements. 8+ years of experience building and/or configuring Cloud infrastructure and services (on-prem or public) through code, such as Terraform. 8+ years of experience with Cloud Native solutions (Google Cloud Platform, Amazon Web Services, and/or Azure). 8+ years of experience with at least one programming language (e.g. Java/Golang/Ruby/Python). Experience working with container technologies (e.g. Docker, Kubernetes). Experience with one or more distributed version control/Source Code Management (SCM) technology and its workflows like git and the understanding of the GitOps/DevOps mindset. Experience developing, deploying, and maintaining highly availableservicesat scale. Knowledge of Infrastructure test automation. Experience with web technologies utilizing Microservices, SOA patterns and REST. UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

Job Summary/Objective: Set up & Maintain On-premises Active Directory, Azure Hybrid Cloud Infrastructure Windows Administration on VMWARE/Hyper-V in Datacenter & Backup Administrator Skills: On-premise Active Directory Administrator & ADFS Administration Configure and manage Microsoft Intune for MDM and MAM Support hybrid Azure AD joined and Azure AD joined devices. Manage synchronization between on-premises Active Directory and Azure AD using Azure AD Connect. Window Server Administration in Data Center patching via WSUS or configuration management tools SCCM/Manage Engine Proficient PowerShell Scripting /.NET Programming Experience on VMWARE, Hyper-V Admin & Backup Tools, Work Experience on Azure Security Centre, Azure Defender, and Azure Sentinel (nice to Have) Work Experience in ISO27001/SOC2/GDPR Compliant Organization(Nice to Have) Good Document writing Skill on Microsoft Excel & PowerPoint Preparation Certifications: Exam AZ-800: Administering Windows Server Hybrid Core Infrastructure Exam AZ-801: Configuring Windows Server Hybrid Advanced Services SC-300: Microsoft Identity and Access Administrator Experience: Relevant 6 Years Personal attributes: Good Communication skills specially written, Excel and PowerPoint Preparation Team Leader, Effectively articulation of ideas, convey information. Addresses customer inquiries or issues promptly & professionally. Clear and concise communication is essential for understanding requirements & expectations. Work Environment : 5 Days in-office working, Posting at Faridabad/Greater Noida, May have to travel Chennai & Overseas Roles and Responsibilities Azure Intune & AD Admin Activities: Implement identity and access management solutions using Azure Active Directory (Azure AD). Manage and maintain the Azure Active Directory (Azure AD) environment. Create, modify, and delete user accounts, groups, and roles. Manage synchronization between on-premises Active Directory and Azure AD using Azure AD Connect. Implement and manage identity and access management (IAM)policies, including role-based access control (RBAC) and conditional access policies to enforce the principle of least privilege. Configure and manage Microsoft Intune for MDM and MAM. Create and deploy configuration profiles, compliance policies, app protection policies, and conditional access. Package and deploy line-of-business and store apps using Win32, MSIX, or Microsoft Store for Business. Integrate Intune with Azure AD, Microsoft Defender for Endpoint, and Autopilot for device provisioning. Implement Windows Autopilot for seamless out-of-the-box provisioning and enrolment. Monitor device compliance, remediate issues, and generate reports. Enforce security baselines, BitLocker encryption, antivirus and firewall policies. Troubleshoot Intune issues related to deployment, enrolment, or application distribution. Coordinate with security, network, and support teams to ensure endpoint protection and compliance. Support hybrid Azure AD joined and Azure AD joined devices. Maintain up-to-date knowledge of Intune and related technologies and apply best practices Integrate Azure AD with other cloud services and on-premises systems. Automate routine administrative tasks using PowerShell and other scripting tools. Manage single sign-on (SSO) configurations and integrate with external identity providers. Generate and analyse reports on user activities, access patterns, and security incidents. Assist with onboarding and offboarding processes to ensure proper access management. Work closely with IT, security, and development teams to implement and manage Azure AD solutions. Azure Network Admin Activities: Design and implement Azure network solutions, including virtual networks, subnets, network security groups (NSGs), and routing configurations. Manage and maintain azure network services such as Azure VPN Gateway, Azure ExpressRoute, Azure Firewall, Azure Load Balancer, and Azure Traffic Manager. Monitor network performance and troubleshoot network-related issues to ensure optimal performance and availability. Implement and manage network security measures, including firewalls, intrusion detection/prevention systems (IDS/IPS), and security policies. Conduct regular network assessments and audits to ensure compliance with industry standards and best practices. Azure Security Related Activities: Establish security policies, standards, and procedures for Azure environments. Conduct risk assessments and vulnerability analyses to identify potential threats. Design secure architectures for Azure cloud solutions, including network, application, and data security. Design and implement secure hybrid cloud solutions, integrating on-premises and Azure resources. Configure Azure security services, such as Azure Security Centre, Azure Defender, and Azure Sentinel, Azure Policy, Azure Blueprints Implement network security measures, including Azure Firewall, Network Security Groups (NSGs), and Virtual Private Networks (VPNs). Implement continuous monitoring and logging using Azure Monitor, Azure Log Analytics, and Azure Sentinel. Maintain comprehensive documentation of security policies, procedures, and configurations. Ensure compliance with regulatory requirements and industry standards (SOC2, GDPR, ISO 27001). Windows Server Admin Related Activities: Install, configure, and maintain Windows Server 2012/2016/2019/2022 systems. Manage Active Directory, DNS, DHCP, Group Policy Objects, and File/Print Services. Implement and support Failover Clustering and High Availability for business-critical services. Administer virtualized environments using Hyper-V and/or VMware vSphere. Ensure timely OS and software patching via WSUS or configuration management tools SCCM/Manage Engine Troubleshoot hardware, software, and performance issues, and perform root cause analysis. Design and maintain backup and disaster recovery solutions, including replication and restore testing. Collaborate with storage and network teams to maintain system performance and availability. Support hybrid integration with Azure AD, Intune, Microsoft Endpoint Manager, or MECM/SCCM (as applicable). Other Tasks: Identify potential risks or issues before they escalate Dealing with Customers for issues Embrace change, adapt quickly to shifting needs or conditions. Maintaining documentation of configurations, processes, and procedures Generating reports on performance, availability, and security metrics for management and compliance purposes Pay attention to details to ensure project requirements and deliverables are met accurately Review project documentation, monitor progress Work closely with diverse teams, stakeholders, and clients Provide Consultancy to the Customers

Duration: 8 Months Description: Experience with cloud technologies, such as AWS in using AWS IAM, VPC, KMS, Secrets Manager services and AWS Certified Security Specialty Experience with cloud technologies, such as AWS, Azure, or GCP Prior experience working with Phone/Voice authentication technologies Neustar Authenticator/Account link experience Nice Engage/RTA experience Previous experience in planning and managing IT projects Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing. Participate in efforts related to designing, planning, enhancing, and testing all cybersecurity technologies used in managing external client authentication. Other contact center experience like Genesys, Avaya, and Cisco cubes could be considered as well. Any voice experience in the contact center space such as Sip, Session Boarder Controllers, Cisco, AWS WebRTC Phones, Google Voice.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join the innovative team at Kyndryl as a CTA / Client Technical Solutioner and unlock your potential to shape the future of technology solutions. As a key player in our organization, you will embark on an exciting journey where you get to work closely with customers, understand their unique challenges, and provide them with cutting-edge technical solutions and services. Picture yourself as a trusted advisor – collaborating directly with customers to unravel their business needs, pain points, and technical requirements. Your expertise and deep understanding of our solutions will empower you to craft tailored solutions that address their specific challenges and drive their success. Your role as CTA / Client Technical Solutioner is pivotal in developing domain-specific solutions for our cutting-edge services and offerings. You will be at the forefront of crafting tailored domain solutions and cost cases for both simple and complex, long-term opportunities, demonstrating we meet our customers' requirements while helping them overcome their business challenges. At Kyndryl, we believe in the power of collaboration and your expertise will be essential in supporting our Technical Solutioning and Solutioning Managers during customer technology and business discussions, even at the highest levels of Business/IT Director/LOB. You will have the chance to demonstrate the value of our solutions and products, effectively communicating their business and technical benefits to decision makers and customers. In this role, you will thrive as you create innovative technical solutions & business skills that align with industry trends and exceed customer expectations. Your ability to collaborate seamlessly with internal stakeholders will enable you to gather the necessary documents and technical insights to deliver compelling bid submissions. Not only will you define winning cost models for deals, but you will also lead these deals to profitability, ensuring the ultimate success of both our customers and Kyndryl. You will play an essential role in contract negotiations, up to the point of signature, and facilitate a smooth engagement hand-over process. As the primary source of engagement management and solution design within your technical domain, you will compile, refine, and take ownership of final solution documents. Your technical expertise will shine through as you present these documents in a professional and concise manner, showcasing your mastery of the subject matter. You’ll have the opportunity to contribute to the growth and success of Kyndryl by standardizing our go-to-market pitches across various industries. By creating differentiated propositions that align with market requirements, you will position Kyndryl as a leader in the industry, opening new avenues of success for our customers and our organization. Join us as a CTA / Client Technical Solutioner at Kyndryl and unleash your potential to shape the future of technical solutions while enjoying a stimulating and rewarding career journey filled with innovation, collaboration, and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience 12 – 15 Years (Specialist Seller / Consultant) is a must with 5 – 6 years of relevant experience as Application / Integration Architect - Middleware & Integration Proven past experience in Technical skills around Middleware & Integration Services around the likes of Solace, TIBCO, Mulesoft, WSO2, Boomi & IBM MQ & API Connect etc including the solutions around Hyperscalers (AWS, Azure, Google) Good Domain Experience in BFSI or Manufacturing area. Excellent communication skills to engage with clients and influence decisions. High level of competence in preparing Architectural documentation and presentations. Must be organized, self-sufficient and can manage multiple initiatives simultaneously. Must have the ability to coordinate with other teams and vendors, independently Deep knowledge of Services offerings and technical solutions in a practice Demonstrated experience translating distinctive technical knowledge into actionable customer insights and solutions Prior consultative selling experience Externally recognized as an expert in the technology and/or solutioning areas, to include technical certifications supporting subdomain focus area(s) Responsible for Prospecting & Qualifying leads, do the relevant Product / Market Research independently, in response to Customer’s requirement / Pain Point. Advising and Shaping Client Requirements to produce high-level designs and technical solutions in response to opportunities and requirements from Customers and Partners. Work with both internal/external stakeholders to identify business requirements, develop solutions to meet those requirements / build the Opportunity. Understand & analyze the Application requirements in Client RFPs Design software application middleware & integration architecture based on the requirements within specified architectural guidelines & constraints. Lead, Design and implement Proof of Concepts & Pilots to demonstrate the solution to Clients /prospects. Experience in designing Software Architectures with Architectural patterns such as SOA & Event driven architectures etc. Knowledge of API Framework / API Gateway, including Programming languages such as Java / J2EE / Spring boot. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join the innovative team at Kyndryl as a Client Technical Solutioner and unlock your potential to shape the future of technology solutions. As a key player in our organization, you will embark on an exciting journey where you get to work closely with customers, understand their unique challenges, and provide them with cutting-edge technical solutions and services. Picture yourself as a trusted advisor – collaborating directly with customers to unravel their business needs, pain points, and technical requirements. Your expertise and deep understanding of our solutions will empower you to craft tailored solutions that address their specific challenges and drive their success. Your role as a Client Technical Solutioner is pivotal in developing domain-specific solutions for our cutting-edge services and offerings. You will be at the forefront of crafting tailored domain solutions and cost cases for both simple and complex, long-term opportunities, demonstrating we meet our customers' requirements while helping them overcome their business challenges. At Kyndryl, we believe in the power of collaboration and your expertise will be essential in supporting our Technical Solutioning and Solutioning Managers during customer technology and business discussions, even at the highest levels of Business/IT Director/LOB. You will have the chance to demonstrate the value of our solutions and products, effectively communicating their business and technical benefits to decision makers and customers. In this role, you will thrive as you create innovative technical solutions that align with industry trends and exceed customer expectations. Your ability to collaborate seamlessly with internal stakeholders will enable you to gather the necessary documents and technical insights to deliver compelling bid submissions. Not only will you define winning cost models for deals, but you will also lead these deals to profitability, ensuring the ultimate success of both our customers and Kyndryl. You will play an essential role in contract negotiations, up to the point of signature, and facilitate a smooth engagement hand-over process. As the primary source of engagement management and solution design within your technical domain, you will compile, refine, and take ownership of final solution documents. Your technical expertise will shine through as you present these documents in a professional and concise manner, showcasing your mastery of the subject matter. You’ll have the opportunity to contribute to the growth and success of Kyndryl by standardizing our go-to-market pitches across various industries. By creating differentiated propositions that align with market requirements, you will position Kyndryl as a leader in the industry, opening new avenues of success for our customers and our organization. Join us as a Client Technical Solutioner at Kyndryl and unleash your potential to shape the future of technical solutions while enjoying a stimulating and rewarding career journey filled with innovation, collaboration, and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience 10 – 15 Years (Specialist Seller / Consultant) is a must with 3 – 4 years of relevant experience as Data. Hands on experience in the area of Data Platforms (DwH / Datalake) like Cloudera / Databricks / MS Data Fabric / Teradata / Apache Hadoop / BigQuery / AWS Big Data Solutions (EMR, Redshift, Kinesis) / Qlik etc. Proven past experience in modernizing legacy data / app & transforming them to cloud - architectures Strong understanding of data modelling and database design. Expertise in data integration and ETL processes. Knowledge of data warehousing and business intelligence concepts. Experience with data governance and data quality management Good Domain Experience in BFSI or Manufacturing area. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). Strong understanding of data integration techniques, including ETL (Extract, Transform, Load), Processes, Data Pipelines, and Data Streaming using Python , Kafka for streams , Pyspark , DBT , and ETL services Understanding & Experience in Data Security principles - Data Masking / Encryption etc Knowledge of Data Governance principles and practices, including Data Quality, Data Lineage, Data Privacy, and Compliance. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design, and testing techniques Excellent communication skills to engage with clients and influence decisions. High level of competence in preparing Architectural documentation and presentations. Must be organized, self-sufficient and can manage multiple initiatives simultaneously. Must have the ability to coordinate with other teams and vendors, independently Deep knowledge of Services offerings and technical solutions in a practice Demonstrated experience translating distinctive technical knowledge into actionable customer insights and solutions Prior consultative selling experience Externally recognized as an expert in the technology and/or solutioning areas, to include technical certifications supporting subdomain focus area(s) Responsible for Prospecting & Qualifying leads, do the relevant Product / Market Research independently, in response to Customer’s requirement / Pain Point. Advising and Shaping Client Requirements to produce high-level designs and technical solutions in response to opportunities and requirements from Customers and Partners. Work with both internal / external stakeholders to identify business requirements, develop solutions to meet those requirements / build the Opportunity. Understand & analyze the application requirements in Client RFPs Design software applications based on the requirements within specified architectural guidelines & constraints. Lead, Design and implement Proof of Concepts & Pilots to demonstrate the solution to Clients /prospects. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

We are looking for a skilled Infrastructure and Platform Architect with 8-10 years of experience to join our team. Roles and Responsibility Design and implement scalable infrastructure solutions using OpenStack. Collaborate with cross-functional teams to ensure seamless integration of infrastructure and platform components. Develop and maintain technical documentation for infrastructure and platform architecture. Troubleshoot and resolve complex technical issues related to infrastructure and platform operations. Ensure compliance with industry standards and best practices for infrastructure and platform security. Provide technical guidance and mentorship to junior team members on infrastructure and platform architecture. Job Requirements Strong understanding of OpenStack and its ecosystem. Experience with cloud-based technologies and platforms. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong leadership and management skills,including the ability to motivate and guide junior team members.

We are looking for a skilled Senior-Azure Devops, Terraform/Terragrunt, Github, Jenkins, HA-DR, AWS services professional with 7 to 14 years of experience. The position is based in Bangalore. Roles and Responsibility Design and implement Azure Devops pipelines for continuous integration and delivery. Develop and maintain infrastructure as code using Terraform or Terragrunt. Collaborate with development teams to ensure smooth deployment on Github. Implement CI/CD pipelines using Jenkins. Ensure high availability and disaster recovery of systems and applications. Troubleshoot and resolve issues related to Azure Devops, Terraform, and AWS services. Job Requirements Strong experience in Azure Devops, Terraform, Terragrunt, Github, Jenkins, and AWS services. Experience with version control systems like Git. Knowledge of cloud-based technologies such as Azure and AWS. Familiarity with containerization using Docker. Understanding of agile methodologies and software development life cycles. Excellent problem-solving skills and attention to detail.

2-3 years of proven working experience in the field of IT administration Sound knowledge in cloud concepts and working experience in at least one cloud platform, preferably Microsoft Azure Experience in administering Microsoft 365 suite of applications Solid experience with Infrastructure components (Compute, Storage, Networking, virtualization) Familiarity with Atlassian Jira and Confluence Excellent troubleshooting skills with experience in issue triaging and resolution as per ITSM standards Good interpersonal skills with excellent written and verbal communication skills A genuine passion for technology A love for helping people and solving problems An instinct to communicate and collaborate with others A desire to work hard, learn, and grow Ability to multi-task with strong attention to detail and follow-up skills Strong work ethic and flexible to take on varied responsibilities Must be willing to work in permanent Night shifts to provide overlapping time zone support

Job Summary: We are seeking an experienced and strategic Senior Infrastructure Architect to design, implement, and manage scalable, secure, and high-performing IT infrastructure solutions. The ideal candidate will play a key role in aligning infrastructure strategies with business goals, leading architecture reviews, and ensuring operational excellence across cloud and on-premise environments. Key Responsibilities: Design and implement enterprise-level IT infrastructure strategies and roadmaps Define architecture standards for compute, storage, network, virtualization, and cloud environments Lead cloud adoption strategies and hybrid infrastructure integration (AWS, Azure, GCP) Collaborate with IT, security, application, and business teams to align infrastructure with organizational needs Evaluate and select infrastructure technologies, tools, and vendors Ensure high availability, scalability, and disaster recovery planning Guide and mentor junior architects and engineers Manage infrastructure risk assessments and capacity planning Support governance, compliance, and IT security policies Document architectural standards, diagrams, and operational procedures

Job Summary: We are seeking an experienced and strategic Senior Infrastructure Architect to design, implement, and manage scalable, secure, and high-performing IT infrastructure solutions. The ideal candidate will play a key role in aligning infrastructure strategies with business goals, leading architecture reviews, and ensuring operational excellence across cloud and on-premise environments. Key Responsibilities: Design and implement enterprise-level IT infrastructure strategies and roadmaps Define architecture standards for compute, storage, network, virtualization, and cloud environments Lead cloud adoption strategies and hybrid infrastructure integration (AWS, Azure, GCP) Collaborate with IT, security, application, and business teams to align infrastructure with organizational needs Evaluate and select infrastructure technologies, tools, and vendors Ensure high availability, scalability, and disaster recovery planning Guide and mentor junior architects and engineers Manage infrastructure risk assessments and capacity planning Support governance, compliance, and IT security policies Document architectural standards, diagrams, and operational procedures