3918 Versioning Jobs

Job Description Overview We are seeking a skilled Associate Manager – AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

About The Company Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us! About The Role We are looking for a seasoned SDET to help us keep a check on the quality of products. If you are passionate about quality and want to help make an impact in our organisation then we have a perfect role for you! Responsibilities Automation Framework Development: Design, develop, and maintain reusable automation test scripts and frameworks for both web and mobile web using Java, Selenium, and Appium. Test Script Execution: Execute automated test scripts, analyze results, and troubleshoot issues for continuous integration and testing cycles. Test Case Automation: Work closely with the QA team to convert manual test cases into automated test scripts for regression, functional, and performance testing. Cross-Browser and Cross-Platform Testing: Implement automation for cross-browser testing (using Selenium) and cross-platform mobile browser testing (using Appium) to ensure compatibility across different environments and devices. Continuous Integration: Integrate automated test scripts with CI/CD pipelines (e.g., Jenkins, GitLab) to enable continuous testing in an agile environment. Bug Reporting & Documentation: Log and track issues in a bug tracking system (e.g., JIRA), providing clear and detailed reports on findings, along with test coverage metrics and areas of improvement. Collaboration: Collaborate with functional testers and other stakeholders to understand requirements and improve automation testing strategies. Test Data Management: Ensure the availability of appropriate test data for automated testing and manage test environments effectively. Maintenance: Continuously maintain and update automated test scripts to accommodate changes in application functionality and improve testing efficiency. Requirements Strong Programming Skills: Proficient in Java with hands-on experience writing automated test scripts. Automation Tools: Expertise in using Selenium for web application automation and Appium for mobile application automation (Android/iOS). Test Automation Frameworks: Experience designing and implementing test automation frameworks (e.g., TestNG, JUnit, or Cucumber) for both web and mobile applications. Continuous Integration: Familiarity with CI/CD tools like Jenkins, GitLab, or similar for integrating automated tests into the development pipeline. Version Control Systems: Proficient in using Git for source code versioning and management. Test Case Design: Strong experience in creating and managing test cases, test plans, and related documentation. Problem-Solving Skills: Excellent debugging and troubleshooting skills for resolving issues during test automation execution. Understanding of SDLC: Knowledge of the Software Development Life Cycle (SDLC), particularly Agile methodologies and working in Agile teams. Desired Skills Mobile Testing: Hands-on experience testing and automating applications on mobile browsers using Appium . Cloud Testing: Familiarity with cloud-based testing platforms (e.g., Sauce Labs, BrowserStack) for cross-browser and cross-device testing. CI/CD Automation: Ability to set up and maintain automation scripts in CI/CD pipelines for continuous testing and delivery. Version Control Best Practices: Strong knowledge of Git workflows, including branching, merging, and conflict resolution. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). 5 years of hands-on experience in test automation using Java, Selenium, and Appium. Benefits Opportunity to work with a talented team in an innovative and collaborative environment Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Role: Android Mobile Development Contract duration: Min 2 months Experience: 3+ yrs Mode: 100% Remote Requirements: ✓ Bachelor//'s degree in Computer Science or a related field. ✓ Professional Android development experience. ✓ Proficiency in both Java and Kotlin for Android application development. ✓ Experience in building and maintaining SDKs for Android. ✓ Clean & readable code writing. ✓ Proficient understanding of code versioning tools, such as Git. ✓ Knowledge of the open-source Android ecosystem and the libraries available for common tasks. ✓ Ability to understand business requirements and translate them into technical requirements. ✓ Familiarity with Restful APIs to connect Android applications to back-end services. ✓ Familiarity with cloud message APIs and push notifications. ✓ Strong understanding of Android design principles, patterns, and best practices. ✓ A good understanding of MVC, MVP & MVVM patterns. ✓ Strong knowledge of SOLID principles and object-oriented programming concepts. ✓ Expertise in performance tuning and memory optimization. ✓ Comprehensive knowledge of the complete mobile development life cycle. ✓ Experience with cross-platform development technologies, such as React Native, is a plus. ✓ Excellent problem-solving and debugging skills. ✓ Effective verbal and written communication skills.

Work Experience :0-1 Job Title: Assistant Consultant - Development Job Location: Gurugram Job Type: Full-time Experience Level: 0 -1 Year Job Overview: We are looking for a motivated and enthusiastic Developer with a technical background in Angular, ReactJs, who is eager to work in a dynamic support environment. As a Technical Developer, you will be responsible for handling technical issues and working experience on Zoho. You will also have the opportunity to enhance your Frontend development skills while supporting ongoing projects. Job description : Roles and Responsibilities: 1. Candidates must have experience in Zoho Tool. 2. Good Problem-Solving Skills and good knowledge of Data Structure. 3. Develop responsive and performance user-facing features using JavaScript frameworks (React, Angular) Html, and CSS predecessors. 4. Contribute to the ongoing proof of concepts and feature development of the products, working with the broadly defined scope and estimates. 5. Should have understanding of code versioning tools such as Git, SVN, Zoho . Skills: 1. Proficient in Zoho , HTML, CSS, JavaScript: Essential for all web development. 2. Expertise in Angular and React: Must have deep knowledge of any one of these frameworks. 3. Good Communication Skills: Able to articulate ideas clearly. 4. Strong Logical and Analytical Skills: For solving complex problems. 5. Familiarity with Version Control: Proficiency in Git or similar tools. 6. Responsive Design Principles: Capable of creating adaptive user interfaces. 7. Teamwork and Independence: Can collaborate and work solo effectively. 8. Knowledge of Testing Frameworks: Experience with Jest, Mocha, Jasmine, etc. 9. Continuous Learning: Stays updated with the latest technologies and practices. Skills : Zoho CRM, Reactjs , Javascript, HTML, CSS , Angular, React, Zoho Tool , Git, SVN , Jest, Mocha, Jasmine, Zoho Developer, Zoho Platform, Frontend etc Experience : 0-1 year

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Job post summary Job description: Position : Backend Developer – Intern WALK-IN 10am to 2:30pm Location: 5th Floor, Gamma Block, SSPDL, Alpha City, OMR, Navalur, Chennai Duration : 3 to 6 Months Start Date : Immediate Stipend : First 3 Months : Unpaid After 3 Months : Paid Pay: ₹8,000.00 - ₹10,000.00 per month Bond : 2-Year Commitment Required After Selection Core Technical Skills 1. Programming Languages & Frameworks You’ll need strong command of at least one backend language: Java (JAVA + Spring Boot, Micronaut, Quarkus) Python (Django, FastAPI) Node.js/JavaScript/TypeScript (Express, NestJS) Go or Rust for high-performance systems 2. APIs & Communication Protocols REST, GraphQL, gRPC API versioning, authentication (JWT, OAuth), 3. Databases & Data Handling SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) 4. Server, DevOps & Cloud Containerization: Docker, Kubernetes CI/CD pipelines (GitHub Actions, Jenkins, Terraform) Cloud infrastructure: AWS, GCP, Azure, serverless (Lambda, Functions) 5. Security & Authentication OWASP best practices: input validation, XSS, SQLi defenses Auth: OAuth2.1, JWT, role-based access Encryption: SSL/TLS 6. Data Structures & Algorithms Proficiency in DSA for performance-critical systems, memory management, complexity analysis Contact : 8637425983 Jesilina HR Job Types: Full-time, Internship Contract length: 3 months Pay: ₹8,000.00 - ₹10,000.00 per month Location Type: In-person Work Location: In person Speak with the employer +91 8637425983

Area(s) of responsibility Full stack(JAVA+Reactjs) developerJD S.No Reactjs JD 1Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Experience with HTML 5/ CSS3 Experience with popular React.js workflows (such as Flux or Redux) Familiarity with newer specifications of EcmaScript Experience with data structure libraries (e.g., Immutable.js) 7 Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools {​{such as Git, SVN, and Mercurial} }Java developer J DDesigns, develops, and implements web-based Java applications to support business requirements .Follows approved life cycle methodologies, creates design documents, and performs program coding and testing .Resolves technical issues through debugging, research, and investigation .Familiar with standard concepts, practices, and procedures within a particular field .Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks .Ensure designs are in compliance with specification sStrong knowledge in Java/J2EE .Requires a bachelor's degree in area of specialty and 4-6years of experience in the field or in a related area .Skills with M/O flag are part of Specializatio nProgramming/Software Development -PL3 (Functional )Estimation & Scheduling -PL1 (Functional )Team Management -PL1 (Functional )Software Design -PL2 (Functional )Software Configuration -PL3 (Functional )Quality Assurance -PL1 (Functional )Help the tribe -PL2 (Behavioural )Stakeholder Relationship Management -PL1 (Functional )Requirements Definition And Management -PL1 (Functional )Think Holistically -PL2 (Behavioural )Knowledge Management -PL2 (Functional )Win the Customer -PL2 (Behavioural )One Birlasoft -PL2 (Behavioural )Results Matter -PL2 (Behavioural )Get Future Ready -PL2 (Behavioural )Test Execution -PL2 (Functional )MySQL - PL2 (Mandatory )Spring Boot - PL2 (Mandatory )Java - PL3 (Mandatory )Kubernetes - PL2 (Optional )REST API's - PL2 (Mandatory )TypeScript - PL2 (Optional )React JS - PL3 (Mandatory )RxJS - PL2 (Mandatory )JavaScript - PL2 (Mandatory)

Company Description AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, delivering scalable solutions for businesses of all sizes. As a renowned software engineering and QA services provider, AppTestify enables faster deployment of superior software. With over 100 Engineers, the company has served more than 120 clients globally. Their expertise includes DevOps, automation testing, API testing, functional testing, mobile testing, Salesforce application testing, and comprehensive digital engineering solutions. Job Title: Machine Learning Engineer Experience: 5 to 8 Years Location: Pune Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Apply directly - https://hrms.apptestify.com/apply/688c7ed095f9ce582a3a224a

Job Information Date Opened 08/01/2025 Number of Positions 2 Industry IT Services Job Type Full time Work Experience 2-3 years City Ahmedabad State/Province Gujarat Country India Zip/Postal Code 380058 About Us Digiwagon Technologies Private Limited is a full-service digital solutions provider. We're committed to understanding & tweaking your business so that you can reap the benefits of taking it digital. With over 500 successful projects, we possess the capability and passion to provide services for SEO, Digital Marketing, Website Design & Development, App Development, E-commerce Development, IT services & Cloud computing. Crafting efficient digital services and systems to aid the growth of your business and multiply it's outreach is our specialty. Job Description Key Responsibilities Front-end (ReactJS): Design and develop responsive user interfaces using ReactJS best practices. Write clean and maintainable code in JavaScript, HTML, CSS, and Bootstrap. Build reusable, efficient components using modern ECMAScript standards. Optimize applications for speed, scalability, and cross-device compatibility. Collaborate with the design team to translate designs into functional code. Integrate and manage third-party libraries and tools. Back-end (NodeJS): Develop and maintain scalable server-side applications using Node.js. Ensure responsiveness to front-end requests and optimal performance of databases. Collaborate with front-end developers to integrate UI elements with server-side logic. Work with frameworks like Express and ORMs like Sequelize. Implement secure, testable, and efficient APIs (RESTful). Manage and design databases (SQL and NoSQL), with strong understanding of data protection and storage solutions. Write and maintain documentation including API documentation and database schemas. Requirements Proficiency in ReactJS , JavaScript , HTML , CSS , and Bootstrap . Strong command over NodeJS , Express , and back-end development principles. Experience with RESTful APIs and MVC architectures . Familiarity with database systems such as MySQL, PostgreSQL , or MongoDB . Understanding of code versioning tools like Git. Experience with integrating third-party libraries and packages. Knowledge of other front-end frameworks like Angular. Familiarity with latest ECMAScript (ES6+) standards. Prior experience in startup environments.

Years of Experience: 3-8 Years Location: Noida Work from Office Job Description The role involves managing and organizing large-scale video datasets, building automation tools, and ensuring accurate performance evaluations of models. The ideal candidate should be proactive, hands-on, and capable of handling a small team. Key Responsibilities Data Cataloging & Management Maintain structured catalogs of video data with consistent labeling and metadata. Organize datasets for efficient access, versioning, and reuse across model development cycles. Tool Development & Automation Build or assist in developing internal tools to automate data handling, quality checks, and reporting. Streamline data pipelines to support rapid model development and testing. Accuracy Computation & Reporting Implement evaluation pipelines to compute model metrics such as accuracy, precision, recall, etc. Generate regular performance reports to support model tuning and validation efforts. Team Collaboration & Coordination Lead a small team (up to 3 members) in daily data-related activities, ensuring quality and timely delivery. Coordinate with ML engineers, QA teams, and product stakeholders for end-to-end data lifecycle management. Qualifications & Required Skills B.Tech Experience in data analysis, preferably in video/image-based domains. Desirable knowledge of data handling tools like Python (pandas, NumPy), SQL, and Excel. Familiarity with video annotation workflows, dataset versioning, and evaluation techniques. Experience in building or using automation tools for data processing. Ability to manage tasks and mentor junior team members effectively. Good communication and documentation skills.

· Laravel Developer Job Brief Experience : 1 - 2 Year Location : Noida Sector - 62 Note: Laptop Mandatory And it's 6 days working We are looking for a Laravel Developer in charge of managing data interchange between the server and the users. Your major responsibility will be to create all server-side logic, definition, and maintenance of the central database and ensure excellent performance & timeliness to front-end demands. You will also be required to collaborate with the other team members working on different infrastructure layers. Therefore, a commitment to collaborative problem-solving, sophisticated design, and a quality product is essential. Along with this, you must be proficient in written and verbal English. Laravel Developer Responsibilities Mentioned below are some of the significant roles and responsibilities of Laravel Developers Job Responsibilities: · Create, develop, and manage cutting-edge PHP web applications, CRM on portals and paid service platforms. · Create cutting-edge apps in collaboration with the User Experience (UX) group. · Check that the shared JavaScript, HTML, and CSS are all credible and reliable across apps. · Using standard development tools, create and manage all apps. · Use backend data solutions and expertise to expand current data service APIs. · From the idea stage through delivery & post-launch maintenance, you will be in charge of the whole web development lifecycle. · Convey all work progress, assessments, proposals, timetables, and technical and analytical difficulties properly. · The development process, standard components, and architecture should all be documented. · Keep up with the latest web development trends and technologies. · Stay up-to-date with the latest trends and technologies in PHP and Laravel development, and suggest improvements to enhance application performance and usability. · Design and implement efficient, scalable, and secure code for web applications · Understanding of software development lifecycle (SDLC) and agile methodologies. Laravel Developer Requirements · Minimum 1 years of experience in Core PHP and object-oriented programming. · Experience in developing applications using Laravel or any other MVC frameworks. · Should have an excellent grasp of version control technologies, relational databases, and web service development. · Strong understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 · Knowledge of code versioning tools like Git · Familiarity with the limitations of PHP as a platform and its workarounds · Intentional commitment to code quality through bug fixes, refactoring, unit testing, and automation · Creative problem-solving skills with a focus on delivering business value quickly An experienced laravel developer is responsible for creating high-quality web applications using the Laravel framework. He also has excellent knowledge of PHP, MySQL, Postgresql , HTML, CSS, and JavaScript. A Laravel developer with complete skills will be able to understand the project requirements and convert them into a working application. Required Qualifications 1. Bachelor's degree in Computer Science, Software Engineering, or a related field. 2. Proven work experience as a PHP / Laravel Developer, with at least 2 years of experience. 3. Demonstrable portfolio of web applications developed using PHP and Laravel framework. 4. Strong understanding of web application security best practices. 5. Experience with cloud platforms like AWS or Azure is a plus. 6. Relevant certifications in PHP and Laravel development is a plus. Share your CV at hr@deboxglobal.com Whtsapp/call : 8287463796 Job Type: Full-time Schedule: Day shift Education: Bachelor's (Preferred) Work Location: In person

Job Description Should be Good Technical and Logical. It should be good debugging capabilities. Creating/Modifying WordPress themes and plugins. Programming skills: PHP, HTML5, CSS3, and JavaScript, Jquery. Strong understanding of PHP back-end development. Ability to convert comprehensive layout and wireframes into working HTML pages. Experience designing and developing responsive design websites. Proficient understanding of code versioning tools Git. Solving technical problems regarding page speed. Optimizing the website for mobile and desktop performance. Working with the Marketing team to ensure high-performance and availability. Creating posts and infographics for social media and websites. Deep functional knowledge or hands-on design experience with Web Services (REST, SOAP, etc ..) is needed to be successful in this position. Location : Noida Experience : 2-4 yrs

🔥 Hiring Now: Senior Java Backend Developer 📍 Location: Remote | 🕒 Type: Contract | 📅 Experience: 8+ Years 💼 Key Responsibilities: Build microservices using Java 17+ , Spring Boot , and Spring Cloud Develop REST APIs and async messaging with Kafka or RabbitMQ Work with PostgreSQL , SQL Server , Redis , and schema versioning with Flyway Implement authentication/authorization using Spring Security , OAuth2 , and Okta Containerize and deploy to AKS using Docker and Helm Enable observability with ELK , Prometheus , and Grafana Write robust unit/integration tests with JUnit 5 , Mockito , Testcontainers Collaborate with DevOps for CI/CD using GitHub Actions , Azure DevOps , or Jenkins Contribute to code reviews , performance tuning, and maintain OpenAPI/Swagger docs ✅ Required Skills: 8+ years in backend development with Java (11+) Deep expertise in Spring Boot , Spring Cloud , Spring Security , JPA , and Hibernate Experience with OAuth2 , JWT , Okta , Redis , Kafka/RabbitMQ Strong with Docker , Kubernetes , Helm , and cloud environments (Azure preferred) Familiar with monitoring tools (ELK, Prometheus, Grafana) CI/CD experience with Git and modern DevOps tools Excellent problem-solving and team collaboration skills If interested, please share your resume with shreya.bagdi@leanitcorp.com

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Title: SAP PP, VC Consultant Exp: 5+ yrs to 8 yrs Location: Baner, Pune Core Technical Skills: SAP PP (Production Planning) SAP VC (Variant Configuration) – strong experience in creating variant models. SAP SD (Sales & Distribution) – integration experience. SAP MM (Material Management) – integration experience. SAP BOM (Bill of Materials) and Routing – especially “Super BOMs” and “Super Routings”. Pricing configuration in SAP Experience with dependencies, classes, and characteristics in VC. Testing & Documentation: Experience in Unit Testing and Integration Testing of SAP configurations Writing technical documentation, process flows, and training guides. Soft Skills & Communication: Good spoken and written English. Comfortable working with business users and technical teams. Experience in requirement gathering, client communication, or stakeholder collaboration. Participation in daily meetings or Agile practices. Process & Lifecycle Knowledge: Knowledge of change/version control in SAP Experience in Product Lifecycle Management. Responsibilities: • PP-VC Model Development and Configuration: Design and Configuration: Develop and configure variant models to meet business requirements, ensuring products can be tailored based on customer specifications. • Super BOMs and Super Routings: Establish and manage super Bill of Materials (BOMs) and super routings to handle product variants efficiently. • Product Configuration: Configure complex product requirements using characteristics, classes, and dependencies, enabling the flexibility to offer multiple product variants based on customer inputs. Integration with Other SAP Modules: • Integration with SAP SD: Ensure smooth integration between SAP Variant Configuration and the Sales & Distribution module, enabling accurate sales order processing and product pricing. • Integration with SAP MM and PP: Integrate VC with Material Management and Production Planning modules to ensure seamless data flow and ensure that variant-specific products are properly managed across procurement and production processes. • Variant Pricing: Work with the SAP SD module for variant-specific pricing configurations, ensuring that pricing is correctly applied based on product attributes. Change Management and Versioning: • Version Control: Manage and document product changes, ensuring proper versioning for variant-specific configurations and updates. • Product Lifecycle: Oversee the lifecycle of product variants, including the introduction of new variants, changes to existing configurations, and discontinuation of obsolete versions. Testing and Validation: • Unit and Integration Testing: Conduct thorough testing of configurations, ensuring that variant models work as intended and integrate seamlessly with other SAP modules. • Troubleshooting: Identify and resolve issues in the SAP PP-VC setup, ensuring that system errors related to configuration or integration are addressed promptly. Documentation and Reporting: Documentation: Create and maintain configuration documents, process flows, technical specifications, and training materials. Reporting: Prepare reports for stakeholders regarding the effectiveness of the configuration, error rates, or any bottlenecks that need attention. Collaboration and Stakeholder Management: Business Stakeholders: Work closely with business stakeholders to gather and understand product requirements, ensuring that the configurations meet business needs. Technical Teams: Collaborate with SAP technical teams for the smooth implementation of the configurations and to address any integration issues with other systems. Third-Party Vendors: If applicable, work with third-party vendors to ensure that external systems and tools integrate correctly with the SAP system, especially when handling complex product configurations. Customization for Specific Industries: Manufacturing and Engineering Domains: Work in specific sectors like manufacturing, automotive, or engineering, where complex product configurations are common, and work on tailoring solutions for those industries. Custom Product Features: Handle customized features for industry-specific products, ensuring thatthe configuration supports a broad range of variations while maintaining operational efficiency. Continuous Improvement: Enhancement and Optimization: Constantly improve the PP-VC system based on feedback, changing business requirements, and new features in SAP. Migration Projects: In some cases, be involved in migration projects (e.g., from SAP ECC to S/4HANA) to upgrade or optimize the PP-VC module and ensure the system aligns with the latest technological advancements.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. What’s the role all about? You will be a key contributor to developing a multi-region, multi-tenant SaaS product. You will collaborate with the core R&D team, using technologies like React, JavaScript, CSS, HTML and AWS to build scalable, high-performance products within a cloud-first, microservices-driven environment. How will you make an impact? Developing new user-facing features using React.js Building reusable components and front-end libraries for future use Translating designs and wireframes into high quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Ability to understand business requirements and translate them into technical requirements Qualifications & Experience( 2 to 4 years): Bachelor’s degree in computer science, information technology, or a similar field. In-depth knowledge of JavaScript, CSS, HTML, and front-end languages. Knowledge of AWS, S3 and Lambda Knowledge of REACT tools including React.js, Redux, and Flux Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Experience with user interface design Experience in Unit Test writing, TDD will be an added advantage Thorough understanding of React.js and its core principles Familiarity with newer specifications of ECMAScript Familiarity with RESTful APIs, and tools like Postman Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools & code versioning tools {​{such as Git, SVN} }Familiarity with CICD pipeline is an added advantag eExcellent troubleshooting skill sExcellent written and verbal communication skill sWhat’s in it for you ?Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr !Enjoy NiCE-FLEX !At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere .About NiC ENICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law .

A Principal Engineer sits at the top of the individual‐contributor technical ladder. While exact duties vary by company, here are the core roles and responsibilities you’ll almost always find: We are looking for highly enthusiastic Principal Dot Net Developer - Architect for a night shift position to solve the world's best automation problem. Are you ready to take up the challenges up!! 1. Technical Vision & Architecture Define & Evangelize Architecture Build and communicate high-level system designs, roadmaps, and technology stacks. Set Standards & Best Practices Own coding guidelines, design patterns, security practices, and performance benchmarks. Evaluate New Technologies Research emerging tools, frameworks, or platforms and decide whether (and when) to adopt them. 2. Complex Problem Solving Tackle “Hard” Engineering Challenges Lead the design of solutions for the most intricate scalability, reliability, or security issues. Proofs of Concept & Prototypes Rapidly prototype new ideas to de-risk large initiatives. 3. Cross-Team Collaboration Align Multiple Teams Work across product, UX, QA, operations, and other engineering teams to ensure consistency and integration. Technical Liaison with Stakeholders Translate technical trade-offs and timelines into business terms for product managers, executives, and sometimes customers. 4. Mentorship & Talent Development Coach Senior Engineers Provide one-on-one career guidance, help them level up architecturally, and sharpen their leadership skills. Code Reviews & Design Reviews Offer thorough feedback to raise code quality and maintainability across the org. 5. Influence & Leadership Without Authority Drive Technical Initiatives Champion major refactors, platform migrations, or “big bets” (e.g., microservices adoption, moving to serverless). Foster Engineering Culture Advocate for healthy practices—CI/CD, observability, incident retrospectives, documentation. 6. Operational Excellence Reliability & Incident Response Own or co-own on-call rotations, lead post-mortems, and ensure SLIs/SLOs are met. Tooling & Automation Identify gaps in developer workflows and build or commission internal tools to increase productivity. 7. Strategic Roadmapping Long-Term Planning Help shape the technical aspects of the product roadmap several quarters (or years) out. Budget & Resource Planning Provide input on headcount needs, infrastructure costs, and licensing requirements. When to Add a Principal Engineer? Projects are critically complex or highly cross-cutting , requiring deep expertise. You need someone to raise the bar on architecture, tooling, and processes. You want to scale your engineering organization without layering on additional management. Required Skills & Qualifications: Experience with Asp.Net MVC with Entity Framework. Experience of 15+ years At least 5 years of experience with Asp.Net Core. Ready to work as per the US shift timings Strong understanding of object-oriented programming (OOP), design patterns. Experience with SQL Server including SP, writing complex queries and DB optimization. Familiarity with Javascript, JQuery, and Typescript Experience working in front-end technology (AngularJS) Experience with common front-end development HTML, CSS etc. Expertise with code testing best practices like unit testing Good hands-on experience of AWS . Familiarity with code versioning tools such as Git, SVN

Collaborate with and contribute to the DevOps architecture and platform of Central DevOps team. Own DevOps backlog, planning and delivery for a Product team assigned Apply GitOps - Infra as Code / DevOps as a Platform Service. Implement and enable CI CD DevOps as a Platform for product development teams. Contribute to Design documentation and product DHF (requirements, design, verification, TDRs) Work in Agile development model and participate in program and product increment activities. Drive FMEA Deliver Runbook/ User Manuals/ Standard Operating procedures. Develop modules as re-usable components. Infra and Product Monitoring and alerting Response to incidents engineering and production Own Site Reliability Engineering activities SRE - Certificate renewals, Infra uptimes Prioritise and Resolve Incoming/ Open issues. Interface with Test automation teams to create and execute Continuous Test pipelines. Must have hands on expertise: Cloud: AWS OS: Linux, Windows Build Orchestrator: GitLab CICD, Jenkins Programming: Python, Groovy, Shell SCM: GitLab Artifact Management: Artifactory Quality: Sonar, Twistlock Automation Tools: Terraform, Ansible, Chef, Vault Containers/ Virtualization: Docker, K8S, VMWare Cloud: AWS (VPC, EC2, EKS, RDS, Networking ) Process: GitOps, GitFlow, Branching, Versioning, Tagging, Release Tools / Process: Agile, Confluence, Rally

Collaborate with and contribute to the DevOps architecture and platform of Central DevOps team. Own DevOps backlog, planning and delivery for a Product team assigned Apply GitOps - Infra as Code / DevOps as a Platform Service. Implement and enable CI CD DevOps as a Platform for product development teams. Contribute to Design documentation and product DHF (requirements, design, verification, TDRs) Work in Agile development model and participate in program and product increment activities. Drive FMEA Deliver Runbook/ User Manuals/ Standard Operating procedures. Develop modules as re-usable components. Infra and Product Monitoring and alerting Response to incidents engineering and production Own Site Reliability Engineering activities SRE - Certificate renewals, Infra uptimes Prioritise and Resolve Incoming/ Open issues. Interface with Test automation teams to create and execute Continuous Test pipelines. Must have hands on expertise: Cloud: AWS OS: Linux, Windows Build Orchestrator: GitLab CICD, Jenkins Programming: Python, Groovy, Shell SCM: GitLab Artifact Management: Artifactory Quality: Sonar, Twistlock Automation Tools: Terraform, Ansible, Chef, Vault Containers/ Virtualization: Docker, K8S, VMWare Cloud: AWS (VPC, EC2, EKS, RDS, Networking ) Process: GitOps, GitFlow, Branching, Versioning, Tagging, Release Tools / Process: Agile, Confluence, Rally

Role: Android Mobile Development Contract duration: Min 2 months Experience: 3+ yrs Mode: 100% Remote Requirements: ✓ Bachelor's degree in Computer Science or a related field. ✓ Professional Android development experience. ✓ Proficiency in both Java and Kotlin for Android application development. ✓ Experience in building and maintaining SDKs for Android. ✓ Clean & readable code writing. ✓ Proficient understanding of code versioning tools, such as Git. ✓ Knowledge of the open-source Android ecosystem and the libraries available for common tasks. ✓ Ability to understand business requirements and translate them into technical requirements. ✓ Familiarity with Restful APIs to connect Android applications to back-end services. ✓ Familiarity with cloud message APIs and push notifications. ✓ Strong understanding of Android design principles, patterns, and best practices. ✓ A good understanding of MVC, MVP & MVVM patterns. ✓ Strong knowledge of SOLID principles and object-oriented programming concepts. ✓ Expertise in performance tuning and memory optimization. ✓ Comprehensive knowledge of the complete mobile development life cycle. ✓ Experience with cross-platform development technologies, such as React Native, is a plus. ✓ Excellent problem-solving and debugging skills. ✓ Effective verbal and written communication skills.

Job Title-AI/ML Engineering(Python,AWS,AI) || 5 to 8 Years || Remote Role Overview: Lead design and delivery of LLM-powered, agentic AI solutions with robust RAG pipelines and prompt-engineering best practices. Key Responsibilities: Integrate and optimize LLM APIs (OpenAI, FILxGPT ) for scalable services Craft, test and refine high-impact prompts and chains Architect agentic workflows combining retrieval, LLM generation and external tools Build end-to-end RAG systems: data ingestion, embedding/indexing, hybrid retrieval, grounded generation Ensure model governance: versioning, monitoring, bias/security audits Qualifications: 5+ years in AI/ML engineering with 2+ years on LLM/agentic systems Deep expertise in prompt engineering, RAG architectures and vector databases Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD

Roles & Responsibilities Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, etc. Build agentic AI systems capable of autonomous reasoning and task execution. NLP and Advanced Language Models: Work with NLP pipelines (text classification, summarization, entity extraction, question answering). MLOps & Azure Integration: Utilize CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps to integrate AI models into production systems. Innovation & Scalability: Stay updated on AI advancements—especially LLMs and Generative AI—to improve AI solutions. Promote best practices for scalable and secure AI system development on Azure. Mentorship & Collaboration: Provide technical mentorship to junior engineers; share knowledge within the team. Work closely with cross-functional teams (Product, Engineering) to translate requirements into technical solutions. Requirements Experience: Minimum 4 years in AI engineering, focused on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models with Azure AI tools: Azure OpenAI, Azure ML, Azure Cognitive Services. Strong use of LLM frameworks: LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD. Technical Skills: Experience with backend development, especially building APIs or integrating AI models into web apps. Soft Skills: Excellent problem-solving; focus on production-ready solutions. Strong communication and collaboration; able to explain complex AI topics to non-technical stakeholders.

Hi Role - Azure Data Engineer Location - Chennai, Gurugram (Onsite 3days in a week) Shift Timing - 2pm to 11PM Experience - 3+ Notice Period - Immediate or 15days Notice period (Please don't apply More than 30days) Required Skills and Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Certifications in Databricks, Azure, or related technologies are a plus. Technical Skills: o Proficiency in SQL for complex queries, database design, and optimization. o Strong experience with PySpark for data transformation and processing. o Hands-on experience with Databricks for building and managing big data solutions. o Familiarity with cloud platforms like Azure INNOVATION STARTS HERE o Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift). o Experience with data versioning and orchestration tools like Git, Airflow, or Dagster. Solid understanding of Big Data ecosystems (Hadoop, Hive, etc.).

Key Responsibilities Front-end (ReactJS): Design and develop responsive user interfaces using ReactJS best practices. Write clean and maintainable code in JavaScript, HTML, CSS, and Bootstrap. Build reusable, efficient components using modern ECMAScript standards. Optimize applications for speed, scalability, and cross-device compatibility. Collaborate with the design team to translate designs into functional code. Integrate and manage third-party libraries and tools. Back-end (NodeJS) Develop and maintain scalable server-side applications using Node.js. Ensure responsiveness to front-end requests and optimal performance of databases. Collaborate with front-end developers to integrate UI elements with server-side logic. Work with frameworks like Express and ORMs like Sequelize. Implement secure, testable, and efficient APIs (RESTful). Manage and design databases (SQL and NoSQL), with strong understanding of data protection and storage solutions. Write and maintain documentation including API documentation and database schemas. Requirements Proficiency in ReactJS, JavaScript, HTML, CSS, and Bootstrap. Strong command over NodeJS, Express, and back-end development principles. Experience with RESTful APIs and MVC architectures. Familiarity with database systems such as MySQL, PostgreSQL, or MongoDB. Understanding of code versioning tools like Git. Experience with integrating third-party libraries and packages. Knowledge of other front-end frameworks like Angular. Familiarity with latest ECMAScript (ES6+) standards. Prior experience in startup environments.

AEM UI Developer: Produce great frontend code. You enjoy producing clean, easytoread, semantic HTML markup and CSS, adhering to W3C specs and best practices. Youre skilled at architecting modular, maintainable, and extensible CSS code. (Deep experiences with SASS a major plus.) Youre also deeply familiar with jQuery and the best plugins. Leverage modular CSS methodologies like BEM, OOCSS Develop new userfacing features based on provided designs and style system Build reusable code and libraries for future use Optimize frontend pages for maximum speed and scalability, with a focus on Core Web Vitals Ensure pages adhere to accessibility standards specifically WCAG 2.2 AA conformance Assure that all user input is validated before submitting to backend Collaborate with other team members and stakeholders Ensure the application scales well across browsers (Cross Browser Testing) Build UI components using Storybook. Experience in using Figma a plus Key capabilities Proficient understanding of web markup, including HTML5 and CSS3 Proficient understanding of core web vitals and techniques for optimizing page load times Strong knowledge of Twitter Bootstrap framework and Responsive Design using media jQuery Collaborate with crossfunctional teams to integrate UI comaponents into a content management system Basic understanding of AEMs Sightly/HTL Proficient in using Font, icons and implement using CSS3 Conduct thorough testing of UI components to ensure compatibility and adherence to quality standards. Proficient understanding of crossbrowser compatibility issues and ways to work around them Fair understanding of JavaScript programming and DOM manipulation Good understanding of SEO principles and ensuring that the application will adhere to them Proficient understanding of code versioning tools, such as Git / SVN Provide clear and comprehensive documentation for developed UI components. Effectively communicate with team members, stakeholders, and project managers. Experience in Agile development is a plus