Job description - Design, develop, and deploy Marketing Cloud solutions on Salesforce platform - Implement email marketing campaigns, automated journeys, and customer engagement strategies - Integrate Marketing Cloud with Salesforce CRM, Service Cloud, and other third-party applications - Develop custom Apex classes, triggers, and Visualforce pages for Marketing Cloud - Configure and manage Marketing Cloud tools: Email Studio, Mobile Studio, and Journey Builder - Collaborate with cross-functional teams to identify and prioritize project requirements - Ensure high-quality code through testing, code reviews, and refactoring - Troubleshoot and resolve technical issues Requirements: - 3+ years of Salesforce development experience - 2+ years of Marketing Cloud experience (Email Studio, Mobile Studio, Journey Builder) - Strong knowledge of Apex programming language, Visualforce, and Salesforce APIs - Experience with Marketing Cloud APIs, ETFs, and AMPscript - Familiarity with Salesforce CRM, Service Cloud, and third-party integrations - Understanding of email marketing best practices and compliance regulations - Excellent problem-solving skills and attention to detail

Job description Experience administering DocuSign CLM including groups, templates, clauses and folders. Experience building DocuSign CLM workflows. Experience administering Salesforce, including CPQ is beneficial but not required Significant experience in implementing integrations with other business applications. Significant experience configuring and implementing a technical solution Significant experience with assigned business applications Experience in business analysis and documenting functional requirements Able to thrive in a fast paced, deadline driven environment. Excellent communication skills.

Job description Experience administering DocuSign CLM including groups, templates, clauses and folders. Experience building DocuSign CLM workflows. Experience administering Salesforce, including CPQ is beneficial but not required Significant experience in implementing integrations with other business applications. Significant experience configuring and implementing a technical solution Significant experience with assigned business applications Experience in business analysis and documenting functional requirements Able to thrive in a fast paced, deadline driven environment. Excellent communication skills.

Responsibilities: Work in a highly-collaborative team environment with an always-evolving mixture of active teamwork and quiet-time passionate about project advancement and self-learning. Development of Forms and Interfaces. Knowledge on Business Processes with good exposure to AIM & OUM Methodology of Execution and documentation. Qualifications we seek in you! Minimum qualifications: BE/MBA/M.Tech/MCA Experience in Oracle Finance Modules as Functional Lead Able to work independently on functional P2P & C2R tracks & modules like ( AP, CM, AGIS , GL, AR, FA, India Localization)) Should be able to work independently. He should have good communication and client interaction skill. Good communication skills with positive, flexible attitude.

As an AWS CDK Developer, you will be responsible for designing, developing, and deploying infrastructure-as-code solutions using AWS Cloud Development Kit (CDK). Key Responsibilities: 1. Design and develop infrastructure-as-code solutions using AWS CDK. 2. Write reusable and modular CDK constructs for AWS services. 3. Implement continuous integration and delivery (CI/CD) pipelines using AWS CDK Pipelines. 4. Collaborate with cross-functional teams to identify and prioritize project requirements. 5. Ensure compliance with security, governance, and compliance standards. 6. Optimize and refine CDK applications for performance, scalability, and reliability. 7. Troubleshoot and resolve CDK-related issues. Requirements: 1. 2+ years of experience with AWS CDK. 2. Strong knowledge of AWS services (EC2, S3, Lambda, API Gateway, etc). 3. Proficiency in programming languages (TypeScript, Python, Java, etc). 4. Experience with infrastructure-as-code tools (CloudFormation, Terraform, etc). 5. Understanding of DevOps practices and CI/CD pipelines. 6. Familiarity with Agile development methodologies.

We are looking for a skilled Oracle APEX Developer with 3-6 years of hands-on experience in developing and maintaining Oracle APEX applications. The ideal candidate should have a strong grasp of PL/SQL, SQL, and APEX architecture and should be able to contribute to full-cycle application development. Key Responsibilities: Design, develop, test, and deploy Oracle APEX applications. Write and optimize complex SQL and PL/SQL code. Develop interactive reports, forms, charts, dashboards, and custom components using APEX. Perform application performance tuning and optimization. Create documentation and provide support for users and stakeholders. Required Skills: 4-6 years of experience in Oracle APEX development. Proficient in SQL, PL/SQL, HTML, JavaScript, and CSS. Experience with Oracle Database 12c or higher. Understanding of APEX security models, session state, and authentication schemes. Experience with RESTful Web Services in APEX is a plus. Good analytical and problem-solving skills. Strong communication and teamwork skills. Preferred Qualifications: Exposure to DevOps tools and CI/CD practices. Experience integrating APEX with external systems or APIs. Bachelor s degree in Computer Science, Engineering, or related field.

As an AWS CDK Developer, you will be responsible for designing, developing, and deploying infrastructure-as-code solutions using AWS Cloud Development Kit (CDK). Key Responsibilities: 1. Design and develop infrastructure-as-code solutions using AWS CDK. 2. Write reusable and modular CDK constructs for AWS services. 3. Implement continuous integration and delivery (CI/CD) pipelines using AWS CDK Pipelines. 4. Collaborate with cross-functional teams to identify and prioritize project requirements. 5. Ensure compliance with security, governance, and compliance standards. 6. Optimize and refine CDK applications for performance, scalability, and reliability. 7. Troubleshoot and resolve CDK-related issues. Requirements: 1. 2+ years of experience with AWS CDK. 2. Strong knowledge of AWS services (EC2, S3, Lambda, API Gateway, etc). 3. Proficiency in programming languages (TypeScript, Python, Java, etc). 4. Experience with infrastructure-as-code tools (CloudFormation, Terraform, etc). 5. Understanding of DevOps practices and CI/CD pipelines. 6. Familiarity with Agile development methodologies.

Job description Experience administering DocuSign CLM including groups, templates, clauses and folders. Experience building DocuSign CLM workflows. Experience administering Salesforce, including CPQ is beneficial but not required Significant experience in implementing integrations with other business applications. Significant experience configuring and implementing a technical solution Significant experience with assigned business applications Experience in business analysis and documenting functional requirements Able to thrive in a fast paced, deadline driven environment. Excellent communication skills.

Job description Experience administering DocuSign CLM including groups, templates, clauses and folders. Experience building DocuSign CLM workflows. Experience administering Salesforce, including CPQ is beneficial but not required Significant experience in implementing integrations with other business applications. Significant experience configuring and implementing a technical solution Significant experience with assigned business applications Experience in business analysis and documenting functional requirements Able to thrive in a fast paced, deadline driven environment. Excellent communication skills.

Job description Experience administering DocuSign CLM including groups, templates, clauses and folders. Experience building DocuSign CLM workflows. Experience administering Salesforce, including CPQ is beneficial but not required Significant experience in implementing integrations with other business applications. Significant experience configuring and implementing a technical solution Significant experience with assigned business applications Experience in business analysis and documenting functional requirements Able to thrive in a fast paced, deadline driven environment. Excellent communication skills.

Required Skills And Qualifications At least 8 years of experience implementing Chatbot technologies Knowledgeable in basic concepts of NLP and NLU Intent Classification, Keyword/Entity extraction , Text Similarity, Text Pre-processing, dialog flows, speech to text, text to speech and telephony systems. Basic knowledge of Machine Learning concepts Training, Accuracy Evaluation Development experience in NodeJS, REST Services. Experience of working in cloud environment like Azure, AWS, Google Cloud Platform, IBM Cloud Ability to embed chatbot in multiple channels like Website, SMS, Email, Skype, Facebook Messenger, MS Teams, WhatsApp etc Knowledge on all phases of software development, including UI design and development, microservices design and development, relational and non-relational DBs, APIs and external integration, quality assurance, validation documentation, security, and infrastructure. Knowledge on business functions and user stories, decompose them into technical specifications, and develop working application code for a cloud environment. Hands on experience in building applications using Java Script frameworks (NodeJS), AngularJS/ReactJS, SQL and No SQL Databases Experience with JSON Knowledge of analytics / visualization via dashboards and reporting tools Education Requirements Bachelors degree in Computer Science, Engineering, Statistics, Technical Science, or 3+ years of IT/Programming experience Minimum 2 years of experience in solutioning for Artificial Intelligence use cases, plus web application development & systems integration experience eg REST/SOAP Prior solutioning experience with No SQL databases, integrating unstructured data Preferred Skills Hands on experience in one or more of the following AI technologies: Language Natural Language Processing, Natural Language Understanding, Speech to Text, Text to Speech, Sentiment Analysis, Language Detection, Classification, Telephony channel experience AI solutions Virtual Agents, intelligent case processing, Video Analytics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations, voice technologies (Speech To Text & Text To Speech), Custom Language Model creation. Knowledge and experience in some of the key AI platforms, eg, Kore.ai, Servicenow VA, IBM Watson, Microsoft Azure Cognitive Services, Google Dialogflow Web UI and dashboard design experience Experience working in a DevOps environment, and using industry standard tools (GIT, JIRA) Able to explain technical concepts in a non-technical language Professional Skill Requirements Proven success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment

Required Skills And Qualifications At least 8 years of experience implementing Chatbot technologies Knowledgeable in basic concepts of NLP and NLU Intent Classification, Keyword/Entity extraction , Text Similarity, Text Pre-processing, dialog flows, speech to text, text to speech and telephony systems. Basic knowledge of Machine Learning concepts Training, Accuracy Evaluation Development experience in NodeJS, REST Services. Experience of working in cloud environment like Azure, AWS, Google Cloud Platform, IBM Cloud Ability to embed chatbot in multiple channels like Website, SMS, Email, Skype, Facebook Messenger, MS Teams, WhatsApp etc Knowledge on all phases of software development, including UI design and development, microservices design and development, relational and non-relational DBs, APIs and external integration, quality assurance, validation documentation, security, and infrastructure. Knowledge on business functions and user stories, decompose them into technical specifications, and develop working application code for a cloud environment. Hands on experience in building applications using Java Script frameworks (NodeJS), AngularJS/ReactJS, SQL and No SQL Databases Experience with JSON Knowledge of analytics / visualization via dashboards and reporting tools Education Requirements Bachelors degree in Computer Science, Engineering, Statistics, Technical Science, or 3+ years of IT/Programming experience Minimum 2 years of experience in solutioning for Artificial Intelligence use cases, plus web application development & systems integration experience eg REST/SOAP Prior solutioning experience with No SQL databases, integrating unstructured data Preferred Skills Hands on experience in one or more of the following AI technologies: Language Natural Language Processing, Natural Language Understanding, Speech to Text, Text to Speech, Sentiment Analysis, Language Detection, Classification, Telephony channel experience AI solutions Virtual Agents, intelligent case processing, Video Analytics, inference engines, stream monitoring, intelligent search, ontologies/knowledge representations, voice technologies (Speech To Text & Text To Speech), Custom Language Model creation. Knowledge and experience in some of the key AI platforms, eg, Kore.ai, Servicenow VA, IBM Watson, Microsoft Azure Cognitive Services, Google Dialogflow Web UI and dashboard design experience Experience working in a DevOps environment, and using industry standard tools (GIT, JIRA) Able to explain technical concepts in a non-technical language Professional Skill Requirements Proven success in contributing to a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment

Job description - Design, develop, and deploy Marketing Cloud solutions on Salesforce platform - Implement email marketing campaigns, automated journeys, and customer engagement strategies - Integrate Marketing Cloud with Salesforce CRM, Service Cloud, and other third-party applications - Develop custom Apex classes, triggers, and Visualforce pages for Marketing Cloud - Configure and manage Marketing Cloud tools: Email Studio, Mobile Studio, and Journey Builder - Collaborate with cross-functional teams to identify and prioritize project requirements - Ensure high-quality code through testing, code reviews, and refactoring - Troubleshoot and resolve technical issues Requirements: - 3+ years of Salesforce development experience - 2+ years of Marketing Cloud experience (Email Studio, Mobile Studio, Journey Builder) - Strong knowledge of Apex programming language, Visualforce, and Salesforce APIs - Experience with Marketing Cloud APIs, ETFs, and AMPscript - Familiarity with Salesforce CRM, Service Cloud, and third-party integrations - Understanding of email marketing best practices and compliance regulations - Excellent problem-solving skills and attention to detail

Key Responsibilities: Design, develop, and deploy AEM components, templates, and workflows Implement responsive design and mobile-first development using AEMs frontend framework Develop custom AEM services and bundles using Java and OSGi Integrate AEM with Adobe Analytics, Target, and Campaign Configure AEMs workflows, approvals, and security Troubleshoot and optimize AEM performance Collaborate with cross-functional teams to deliver digital experiences Stay up-to-date with AEM releases and updates Requirements: 4+ years of experience in AEM development (6.4+, 6.5) Strong knowledge of AEMs frontend framework (AEM Client Library, jQuery) Expertise in AEMs backend technologies (Java, OSGi) Experience with AEM integration and configuration (Adobe Analytics, Target, Campaign) Strong understanding of web development principles (HTML, CSS, JavaScript) Experience with agile development methodologies (Scrum) Excellent problem-solving and analytical skills Strong communication and teamwork skills Nice to Have: Adobe Certified AEM Developer Experience with cloud-based AEM deployments (AWS, Azure) Knowledge of DevOps tools (Maven, Jenkins) Experience with testing frameworks (JUnit, TestNG) Familiarity with version control systems (Git, SVN)

Job description - Design, develop, and deploy Marketing Cloud solutions on Salesforce platform - Implement email marketing campaigns, automated journeys, and customer engagement strategies - Integrate Marketing Cloud with Salesforce CRM, Service Cloud, and other third-party applications - Develop custom Apex classes, triggers, and Visualforce pages for Marketing Cloud - Configure and manage Marketing Cloud tools: Email Studio, Mobile Studio, and Journey Builder - Collaborate with cross-functional teams to identify and prioritize project requirements - Ensure high-quality code through testing, code reviews, and refactoring - Troubleshoot and resolve technical issues Requirements: - 3+ years of Salesforce development experience - 2+ years of Marketing Cloud experience (Email Studio, Mobile Studio, Journey Builder) - Strong knowledge of Apex programming language, Visualforce, and Salesforce APIs - Experience with Marketing Cloud APIs, ETFs, and AMPscript - Familiarity with Salesforce CRM, Service Cloud, and third-party integrations - Understanding of email marketing best practices and compliance regulations - Excellent problem-solving skills and attention to detail

Design and develop data pipelines for Generative AI projects by leveraging a combination of technologies, including Vector DB, Graph DB, Airflow, Spark, PySpark, Python, LangChain, AWS Functions, Redshift, and SSIS. This will involve the logical and efficient integration of these tools to create seamless, high-performance data flows that efficiently support the data requirements of our cutting-edge AI initiatives. Collaborate with data scientists, AI researchers, and other stakeholders to understand data requirements and translate them into effective data engineering solutions. User will be managing movement, organization and quality assessments of large set of data to facilitate the creation of Knowledge base for RAG systems and model training Demonstrate familiarity with data integration services such as AWS Glue and Azure Data Factory, showcasing the ability to effectively utilize these platforms for seamless data ingestion, transformation, and orchestration across various sources and destinations. Possess proficiency in constructing data warehouses and data lakes, demonstrating a strong foundation in organizing and consolidating large volumes of structured and unstructured data for efficient storage, retrieval, and analysis. Optimize and maintain data pipelines to ensure high-performance, reliable, and scalable data processing. Develop and implement data validation and quality assurance procedures to ensure the accuracy and consistency of the data used in Generative AI projects. Monitor and troubleshoot data pipeline performance, identify bottlenecks, and implement improvements as necessary. Stay current with emerging trends and technologies in the fields of data engineering, Generative AI, and related areas to ensure the continued success of our projects. Collaborate with team members on documentation, knowledge sharing, and best practices for data engineering within a Generative AI context. Ensure data privacy and security compliance in accordance with industry standards and regulations. Qualifications we seek in you: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with data engineering technologies, including Vector DB, Graph DB, Airflow, Spark, PySpark, Python, langchain, AWS Functions, Redshift, and SSIS. Strong understanding of data warehousing concepts, ETL processes, and data modeling. Strong understanding of S3 and code-based scripting to move large volumes of data across application storage layers Familiarity with Generative AI concepts and technologies, such as GPT-4, Transformers, and other natural language processing techniques. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Preferred Qualifications/ skills Knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud Platform, is a plus. Experience with big data technologies, such as Hadoop, Hive, or Presto, is a plus. Familiarity with machine learning frameworks, such as TensorFlow or PyTorch, is a plus. A continuous learning mindset and a passion for staying up-to-date with the latest advancements in data engineering and Generative AI.

Job Description: No of resources required6 Resource Type (Dev / Test)Test Skill Set Manual Tetsing. Detailed Job Description Functional Knowledge on banking domain, Working Experience/Good Understanding on Functional Testing Required Experience1 to 3 Years Location: Bangalore / Chennai Interviewer - Round 1Tejaswini K/Rakesh Ganesan Interviewer - Round 2Srikanth Narumanchi Resource used for activitiy, Testing

Job Description: No of resources required6 Resource Type (Dev / Test)Test Skill Set Manual Tetsing. Detailed Job Description Functional Knowledge on banking domain, Working Experience/Good Understanding on Functional Testing Required Experience1 to 3 Years Location: Bangalore / Chennai Interviewer - Round 1Tejaswini K/Rakesh Ganesan Interviewer - Round 2Srikanth Narumanchi Resource used for activitiy, Testing

Application Development : Develop robust, scalable, and secure Java applications using best practices and design patterns . Design and implement backend services, RESTful APIs, and microservices architecture using Java frameworks like Spring Boot . Cloud Architecture : Design, deploy, and manage cloud-based solutions on Amazon Web Services (AWS) platform . Utilize AWS services such as EC2, S3, RDS, Lambda, and API Gateway to build highly available and fault-tolerant applications . Containerization and Orchestration : Containerize Java applications using Docker and orchestrate container deployments using AWS ECS or Kubernetes on AWS EKS . Serverless Computing : Implement serverless computing solutions using AWS Lambda, leveraging event-driven architectures for asynchronous processing and scaling . Data Storage and Management : Configure and manage data storage solutions on AWS, including relational databases (RDS), NoSQL databases (DynamoDB), and object storage (S3) . Security and Compliance : Implement security best practices for AWS resources, including encryption, IAM policies, and network security configurations . Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI-DSS in AWS deployments . Monitoring and Logging : Set up monitoring and logging solutions on AWS using Cloud Watch, Cloud Trail, and other AWS native services . Implement automated alerts and notifications to proactively monitor application performance and health . Deployment Automation : Automate deployment processes using AWS Code Pipeline, AWS Code Deploy, and infrastructure-as-code tools such as AWS Cloud Formation or Terraform . Continuous Integration/Continuous Deployment (CI/CD) : Implement CI/CD pipelines to automate build, test, and deployment processes for Java applications on AWS infrastructure . Performance Optimization : Optimize application performance and resource utilization on AWS through load balancing, caching, and horizontal scaling strategies . Disaster Recovery and High Availability : Design and implement disaster recovery solutions and high availability architectures on AWS to ensure business continuity and resilience . Collaboration and Documentation : Collaborate with cross-functional teams, including developers, architects, and DevOps engineers, to ensure alignment with project goals and requirements . Document architecture diagrams, deployment configurations, and operational procedures for reference and knowledge sharing .

1. Design and develop Python-based applications integrating Azure Document Intelligence. 2. Implement document processing, extraction, and analysis using Azure Document Intelligence APIs. 3. Collaborate with cross-functional teams to integrate Azure Document Intelligence with existing systems. 4. Ensure scalability, security, and performance of applications. 5. Participate in code reviews and contribute to best practices. Requirements: 1. 3+ years of Python development experience. 2. Strong understanding of Azure Document Intelligence and its APIs. 3. Experience with Python frameworks (eg, Flask, Django). 4. Knowledge of Azure services (eg, Azure Storage, Azure Functions). 5. Familiarity with Agile development methodologies. Nice to Have: 1. Experience with machine learning or natural language processing. 2. Knowledge of cloud-based document management systems.