Job Description: We are looking for a Data Scientist with expertise in Python, Azure Cloud, NLP, Forecasting, and large-scale data processing. The role involves enhancing existing ML models, optimising embeddings, LDA models, RAG architectures, and forecasting models, and migrating data pipelines to Azure Databricks for scalability and efficiency. Key Responsibilities: Model Development Model Development & Optimisation Train and optimise models for new data providers, ensuring seamless integration. Enhance models for dynamic input handling. Improve LDA model performance to handle a higher number of clusters efficiently. Optimise RAG (Retrieval-Augmented Generation) architecture to enhance recommendation accuracy for large datasets. Upgrade Retrieval QA architecture for improved chatbot performance on large datasets. Forecasting & Time Series Modelling Develop and optimise forecasting models for marketing, demand prediction, and trend analysis. Implement time series models (e.g., ARIMA, Prophet, LSTMs) to improve business decision-making. Integrate NLP-based forecasting, leveraging customer sentiment and external data sources (e.g., news, social media). Data Pipeline & Cloud Migration Migrate the existing pipeline from Azure Synapse to Azure Databricks and retrain models accordingly - Note: this is required only for the AUB role(s) Address space and time complexity issues in embedding storage and retrieval on Azure Blob Storage. Optimise embedding storage and retrieval in Azure Blob Storage for better efficiency. MLOps & Deployment Implement MLOps best practices for model deployment on Azure ML, Azure Kubernetes Service (AKS), and Azure Functions. Automate model training, inference pipelines, and API deployments using Azure services. Experience: Experience in Data Science, Machine Learning, Deep Learning and Gen AI. Design, Architect and Execute end to end Data Science pipelines which includes Data extraction, data preprocessing, Feature engineering, Model building, tuning and Deployment. Experience in leading a team and responsible for project delivery. Experience in Building end to end machine learning pipelines with expertise in developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google Vertex AI and AWS. Experience in developing advanced natural language processing (NLP) systems, specializing in building RAG (Retrieval-Augmented Generation) models using Langchain. Deploy RAG models to production. Have expertise in building Machine learning pipelines and deploy various models like Forecasting models, Anomaly Detection models, Market Mix Models, Classification models, Regression models and Clustering Techniques. Maintaining Github repositories and cloud computing resources for effective and efficient version control, development, testing and production. Developing proof-of-concept solutions and assisting in rolling these out to our clients. Required Skills & Qualifications: Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure Blob Storage, and Azure Kubernetes Service (AKS). Experience with forecasting models, time series analysis, and predictive analytics. Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikit-learn, Hugging Face, FAISS). Experience with model deployment, API optimisation, and serverless architectures. Hands-on experience with Docker, Kubernetes, and MLflow for tracking and scaling ML models. Expertise in optimising time complexity, memory efficiency, and scalability of ML models in a cloud environment. Experience with Langchain or equivalent and RAG and multi-agentic generation Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Aws Developer Requirements: Understanding of Cloud and its provided services, good understanding of Linux and Networking concepts . Prior Knowledge of any SQL/ No SQL database. . Good to have knowledge of any high- level programming language (Python, Ruby, Java etc.) . Knowledge of Big data and different services related to it. Understanding of Hadoop and Its component. Must have analytical and problem- solving skill and Good communication skills.

What youll be doing... Verizon is looking for a dynamic and talented individual for the Private Network One of the top goals is to have a scalable and reliable workload and infrastructure management and deployment along with self recovery of infrastructure failures. Performing code analysis, static code tools usage and any additional tools to produce good quality code. Implementing non-functional requirements - performance, scalability, reliability, extensibility etc. Analyzing architecture, relationships between systems and system flows. Understanding Cyber Security Product level requirements and converting them into technical requirements. Maintaining high levels of engagement with onshore SMEs, management, business, local management on the projects and programs. Supporting customers with major platform issues and coordinating triage efforts to solve them. Working closely with the business team, and other internal IT teams to deliver projects on time. Define end to end architecture for enterprise level applications with current advanced technologies. Design, develop and implement scalable Node/Java/Springboot/Python/AWS based applications. Evaluating and recommending new technologies and updating versions of existing ones. Designing/Developing reusable framework. Participating in the development of project timelines, implementation design specifications, system flow diagrams, documentation, testing and ongoing support of systems. Engaging in engineering discussions, contributing to the conversation, providing your own opinions, asking thoughtful questions for clarification, and enriching the environment. What were looking for... You are self-driven with experience in design and implementation of complex and distributed systems, particularly in building high-performance backend and/or frontend frameworks. You have a passion for seeking engineering excellence and adopting new technologies. You are not afraid to drive for success by working with multi-functional teams. Youll need to have: Bachelors degree or three or more years of work experience. Experience in implementing Object Oriented Web Programming and dev experience on Node, Java, Spring boot, Python. Experience on developing and managing customer facing apps. Experience in AWS and other Cloud technologies. Experience with development with HTTP/RESTful APIs, Microservices. Hands-on experience in Mongo DB and data modelling. Ability to design and implement solutions with ease of use Experience in working with cross-functional teams and projects. Experience with test-driven development, continuous integration and continuous deployment processes. Even better if you have one or more of the following: AWS Certification. Ability to design and implement solutions with ease of use.

What youll be doing... As a lead data engineer, you will be focusing on collecting data from multiple sources in various formats and loading the data using various tools and frameworks as required. You will be expanding and optimizing data and the data pipeline architecture. You will also be working with partners to understand requirements and effectively prioritize for their implementation. Processing large amounts of structured and unstructured data, including integrating data from multiple sources. Building secure, scalable, and stable data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices. Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: Enterprise system data architecture, data design, data persistence technologies, data processing, data management, and data analysis. What were looking for... Youre curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in data engineering tools and technologies. Experience troubleshooting data issues. Experience in complex SQL. Even better if you have one or more of the following: Master's degree. Certification on data engineering tools and technologies. Experience with large cluster, databases, BI tools, data quality and performance tuning. Experience working on cloud technologies. Excellent written and spoken communication skills.

Design and Develop Dashboards : Create visually appealing and interactive dashboards that help users quickly grasp critical insights from data. Data Integration : Connect Tableau to various data sources (Google Big Query/Azure Synapse, etc.), ensuring data accuracy and integrity. Performance Optimization : Improve load times and responsiveness of Tableau dashboards and reports. Data Analysis : Analyse and interpret data to create meaningful visualizations. Collaboration : Work closely with stakeholders to understand and translate business requirements into functional specifications. Skills: Proficiency in Tableau : Strong understanding of Tableau Desktop and Tableau Server and respective functionalities. Minimum 5 years of experience in Tableau. JavaScript : Must have experience in customising (handling of events, filters, etc.) the Tableau dashboards using Tableau Embedding API in JavaScript. Technical Skills : Knowledge of SQL and should have experience connecting to a Data warehouse. Cloud : Experience working in a cloud-based environment. Communication : Excellent communication skills to effectively collaborate with stakeholders and present data insights. ":1.0,"

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

Build the future of the AI Data Cloud. Join the Snowflake team. The Commercial Account Executive is responsible for building Commercial, Mid-Enterprise & Digital Native client relationships across the Southern India Market. Individuals who excel at this job have the ability to prospect, develop, and close business within a timely manner while focusing on the clients requirements. The Commercial Account Executive must have the confidence and ability to negotiate and close agreements with clients and support new customers through our on-boarding process. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact prospects at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are a talented, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities, we d love to hear from you. AS A COMMERCIAL ACCOUNT EXECUTIVE, YOU WILL: Achieve sales quotas for allocated accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan. Your primary market will be Startup s, Digital-Natives, Corporate and mid-enterprise accounts in South-India and partner generated opportunities in Southern India Market As Snowflake is a consumption-based selling motion, you will be responsible for driving consumption with the introduction of new use cases for existing customers. Develop marketing plans with the marketing team to drive revenue growth. Be the trusted advisor to the customer by understanding their existing and future Data Strategy to drive the Snowflake solution within the marketplace. Prospect qualification and the development of new sales opportunities and ongoing revenue streams both directly and leveraging our partner ecosystem. Arrange and conduct initial Executive and CxO discussions and positioning meetings. Sales process management and opportunity closure. Ongoing account management to ensure customer satisfaction and drive additional revenue streams. Be familiar with a solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities. WE ARE LOOKING FOR SOMEONE WITH: 5+ years of full-cycle sales experience selling software or cloud-based applications to the mid-market in India. Emphasis on cloud, databases, business intelligence software, data warehousing, SaaS is desired. Experience hitting a quota of $500k+ of ARR per year selling both directly and with the channel. A track record of success in driving consistent activity, pipeline development and quota achievement. Experience determining customer requirements and presenting appropriate solutions. A pro-active, independent thinker with high energy/positive attitude. Excellent verbal and written communication, presentation, and relationship management skills. Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com "

Consultant Salesforce Agentforce Developer Location - Gurugram Experience - 3+ Years Apply Now Key Responsibilities Client Engagement: Work with clients to understand their business needs, define requirements, and translate them into effective Salesforce solutions. Salesforce Solution Design: Configure and customize Salesforce Sales Cloud or Service Cloud to align with client requirements, ensuring scalability and optimal performance. Data Management & Reporting: Set up and manage data structures, dashboards, and reports to deliver actionable insights for business growth and customer service improvements. Process Automation: Use Salesforce tools like Process Builder, Flow, and Workflow Rules to automate business processes and enhance productivity. User Support & Training: Provide user support, troubleshoot issues, and conduct training sessions to ensure effective adoption of Salesforce solutions. Documentation: Create and maintain detailed documentation of customizations, configurations, and processes for future reference and troubleshooting. Best Practice Implementation: Stay up-to-date on Salesforce best practices, new features, and integrations to recommend improvements. Skills & Qualifications Salesforce Experience: At least 1+ year of hands-on experience with Salesforce Sales Cloud or Service Cloud, including configuration, customization, and user support. Technical Proficiency: Familiarity with Salesforce components such as Process Builder, Flow, Workflow Rules, Custom Objects, and AppExchange packages. Analytical Skills: Ability to assess business processes, identify areas for improvement, and propose Salesforce-based solutions. Client-Focused Mindset: Strong interpersonal skills with the ability to communicate effectively with both technical and non-technical stakeholders. Documentation Skills: Proficiency in creating clear, comprehensive documentation for configurations, workflows, and user training. Problem-Solving Abilities: Strong analytical and troubleshooting skills, with attention to detail and a methodical approach to resolving issues. Knowledge of Salesforce Service Cloud Console or Sales Cloud Console, including case management, lead management, and opportunity tracking. Basic understanding of Apex, Visualforce, or Lightning Web Components (LWC) is a plus. Experience in using Salesforce integrations (e.g., API connections) or experience with related tools such as Data Loader. Must Have Minimum 3 years of experience in development of applications in sales cloud or service cloud Salesforce Certifications (L2 and above) Agentforce AI Implementation Experience atleast in one project B-Tech or Masters in Engineering

Hiring Team Lead – Emerging Tech. Strong in Python, ML/DL (TensorFlow, PyTorch), CV/NLP, cloud (AWS/GCP), data pipelines. Leadership, problem-solving, and communication skills a must.

Experience : 3 to 10 years Locations : Bangalore, Hyderabad Work Mode : Work from Home Key Responsibilities : Design, develop, and maintain .Net-based applications with a focus on Microservices architecture. Build scalable, reliable, and secure services leveraging cloud technologies. Write clean, efficient, and testable code using C#, ASP.Net Core, and RESTful APIs. Collaborate with cross-functional teams for requirement analysis and technical design. Monitor, troubleshoot, and improve system performance. Skills Required : Proficiency in .Net Core and Microservices. Hands-on experience with Kubernetes, Docker, and CI/CD pipelines. Strong knowledge of SQL/NoSQL databases. Experience with cloud platforms (AWS, Azure, or GCP). Understanding of Agile methodologies and DevOps practices. Education : B.E/B.Tech in Computer Science or equivalent.

Java SpringBoot developer Key Skills Java, SpringBoot framework, RESTful API s, PostGreSQL, Tomcat server Job Description 4-6 years of experience in developing Java applications using SpringBoot framework Excellent knowledge in RESTful API s Design, Create API s Excellent in transaction management and data persistent layer Excellent in unit testing frameworks - JUnits Good analytical and problem solving skills Follow best coding practices Experience working with PostGreSQL DB Good to have Experience working in Azure Cloud Experience working with Git version control

Lead DevOps Engineer Job ID: Lea-ETP-Ind-1031 Location: India Role: Lead a team of DevOps engineers and work with US client DevOps team. Automate Kubernetes infrastructure for scaling both individual customer sites as well as client s own infrastructure Implement and manage multi-server deployments in AWS, Google Cloud (GCP), and Microsoft Azure Collaborate with development teams to deploy new code to production environments Maintain and improve monitoring systems and alarms for production environments, using Datadog, Zabbix, Pingdom, ElasticSearch, and Graylog Set up backup mechanisms for the production environment and test disaster recovery mechanisms Manage incident response with other engineers and clients including performing root cause analysis Participate in rotating 24/7 on-call schedules with team members Skills: Experienced with cloud automation tools and very comfortable with Kubernetes Any familiarity with the following technologies in our stack: Linux, git, ruby, bash, AWS, Azure, Google Cloud, MySQL, Apache, Tomcat, Java, Graylog, Kibana, Zabbix, and Datadog Any experience with cloud infrastructure automation tools such as Terraform, Gyro, CloudFormation Outstanding communication skills with the ability to work in a client-facing role Outstanding problem-solving skills in situations with tricky technical situations

DevOps Engineer Job ID: Dev-ETP-Ind-988 Location: India Role: Automate Kubernetes infrastructure for scaling both individual customer sites as well as client s own infrastructure Implement and manage multi-server deployments in AWS, Google Cloud (GCP), and Microsoft Azure Collaborate with development teams to deploy new code to production environments Maintain and improve monitoring systems and alarms for production environments, using Datadog, Zabbix, Pingdom, ElasticSearch, and Graylog Set up backup mechanisms for the production environment and test disaster recovery mechanisms Manage incident response with other engineers and clients including performing root cause analysis Skills: Experienced with cloud automation tools and very comfortable with Kubernetes Any familiarity with the following technologies in our stack: Linux, git, ruby, bash, AWS, Azure, Google Cloud, MySQL, Apache, Tomcat, Java, Graylog, Kibana, Zabbix, and Datadog Any experience with cloud infrastructure automation tools such as Terraform, Gyro, CloudFormation Outstanding communication skills with the ability to work in a client-facing role Outstanding problem-solving skills in situations with tricky technical situations

Job Description: We are seeking a talented and motivated DevOps Engineer to join our growing team. The ideal candidate will have hands-on experience with cloud technologies and container orchestration, specifically Azure, Docker, Kubernetes, and experience with CI/CD pipelines using Jenkins. Familiarity with Kafka and Java basics is also required. Responsibilities: Design, implement, and manage CI/CD pipelines using Jenkins to automate deployment and testing processes. Utilize Docker to create, deploy, and manage containers for applications in development and production environments. Manage Kubernetes clusters, ensuring optimal performance, scalability, and availability of containerized applications. Integrate and manage Kafka as a messaging service for data streams between microservices. Collaborate with development teams to understand requirements and implement solutions using Azure services. Monitor and troubleshoot application performance and infrastructure issues, ensuring high availability and reliability. Implement infrastructure as code (IaC) using tools like Terraform or Azure Resource Manager templates. Create and maintain documentation for processes, procedures, and system configurations. Stay updated with industry trends and best practices in DevOps and cloud technologies. Requirements: Bachelor s degree 3+ years of experience in DevOps engineering with a strong focus on Docker, Kubernetes, and Azure. Azure DevOps Certification or equivalent. Experience required in Shell Script Experience with monitoring and logging tools (e.g., Azure Monitor, Prometheus, ELK Stack). Knowledge of security best practices in cloud environments. Proficiency in building and managing CI/CD pipelines using Jenkins. Familiarity with Kafka for real-time data streaming and messaging. Notice Period: Below 30 days Previous Post Frontend Developer(Angular) Industries Solutions

KPMG India is looking for Assistant Manager - Google Cloud Platform to join our dynamic team and embark on a rewarding career journey. Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Key Responsibilities : - Design and develop scalable PySpark pipelines to ingest, parse, and process XML datasets with extreme hierarchical complexity. - Implement efficient XPath expressions, recursive parsing techniques, and custom schema definitions to extract data from nested XML structures. - Optimize Spark jobs through partitioning, caching, and parallel processing to handle terabytes of XML data efficiently. - Transform raw hierarchical XML data into structured DataFrames for analytics, machine learning, and reporting use cases. - Collaborate with data architects and analysts to define data models for nested XML schemas. - Troubleshoot performance bottlenecks and ensure reliability in distributed environments (e.g., AWS, Databricks, Hadoop). - Document parsing logic, data lineage, and optimization strategies for maintainability. Qualifications : - 5+ years of hands-on experience with PySpark and Spark XML libraries (e.g., `spark-xml`) in production environments. - Proven track record of parsing XML data with 20+ levels of nesting using recursive methods and schema inference. - Expertise in XPath, XQuery, and DataFrame transformations (e.g., `explode`, `struct`, `selectExpr`) for hierarchical data. - Strong understanding of Spark optimization techniques: partitioning strategies, broadcast variables, and memory management. - Experience with distributed computing frameworks (e.g., Hadoop, YARN) and cloud platforms (AWS, Azure, GCP). - Familiarity with big data file formats (Parquet, Avro) and orchestration tools (Airflow, Luigi). - Bachelor's degree in Computer Science, Data Engineering, or a related field. Preferred Skills : - Experience with schema evolution and versioning for nested XML/JSON datasets. - Knowledge of Scala or Java for extending Spark XML libraries. - Exposure to Databricks, Delta Lake, or similar platforms. - Certifications in AWS/Azure big data technologies.

Position: Java AWS Developer (CE610SF RM 3244) Shift timing : General Shift, India time zone but may need to adjust to customer meetings as per need Work Mode : Work from Client office (5 Days) Education : Bachelor s / Masters / PhD Minimum criteria BE Computers, MCA, eqv Any special or skills related notes Good in Communications and must be hands-on in mandatory skillset mentioned. Must have skills: Java, J2EE, Spring Boot & Microservices, AWS, DynamoDB, Kafka/MQTT Good to have : Communication, Problem Solving skill , Debugging/troubleshooting Candidate Roles and Responsibilities Individual contributor and mainly will be engaged in High scaled, cloud based, Video & subscription domain production grade developmental assignment Job Category: Digital_Cloud_Web Technologies Job Type: Full Time Job Location: Ahmedabad Indore Pune Experience: 6-10 years Notice period: 0-15 days

Job Description- Mandatory Skills 4+ Years of experience with React.js, including hooks, component design, and state management (Redux / Recoil) Strong knowledge of JavaScript (ES6+) Solid understanding of GraphQL and its ecosystem (e.g., Apollo Client, GraphQL Queries & Mutations). Hands on experience of unit testing and testing frameworks (Preferably Jest & RTL) Excellent communication skills Preferred Skills Knowledge of design patterns Working knowledge in Mapstruct, Spring Cloud Streams, Spring Contract Testing Experience in mobility frameworks like React-Native Experience in Java, Springboot,, JAXRS, Mybatis, PostgreAQL, Junit. Experience in build tools like Apache Maven, Webpack

We are seeking a talented Engineering Manager to lead a team of engineers in developing products that are operating on the dunnhumby strategic area and of Loyalty and Personalisation and building products the retailer can use to find the optimal customer segments and send personalised offers and digital recommendations. What you be doing: As an Engineering Manager, you will be responsible for leading and inspiring multiple engineering teams to deliver high-quality, innovative software products that drive business growth. You will set the technical direction, build high-performing teams, and foster a culture of engineering excellence. Key accountabilities: Lead an engineering function of a sub-domain in a product area and cross-cutting initiatives across engineering Co-own and drive the delivery of sub-domain level OKRs with product and design counterpart Manage multiple squads to ensure they delivery high quality and secure software in an Agile approach like: architectural discussions, solutions designs, step in when needed Form strong relationships and work closely with product, commercial, UX and client team counterparts Work closely with architecture team and lead engineers to help team find best technical solutions and engineering practices Continuously look for opportunities and drive for improvements in terms of Agile process, new technology and best engineering practices across the entire engineering domain organizations Continue to play a hands-on role in code development. The extent will depend on the needs of the team. For a mature team, you are expected to stay hands-on coding up to 40% while for a newly formed team it might be 20% Management of the engineering managers and/or lead engineers and engineers within the squads. Ensuring they understand expectations, help them build career development plan, continuously review the delivery plan spotting opportunities for them and carry out cyclical HR processes including performance and salary reviews Identify, define and execute the engineering roadmap of your teams, e.g. moving to cloud, shift-left etc. You will be the owner of your engineering roadmaps Required Skills: Bachelors or master s degree in computer science, Software Engineering, or related field. 10+ years of proven experience as a Lead Engineer or Tech Lead, guiding software development projects from conception to delivery. In-depth knowledge and hands-on experience with technologies like .NET, Python, Spark, Git (GitLab), Docker, and Cloud development (GCP and Azure). Strong expertise in software architecture, cloud development, and DevOps best practices. Experience in designing and working with distributed systems, understanding error propagation, and applying cloud-native architecture design patterns. Demonstrated ability to lead and inspire a team, fostering a collaborative and inclusive work environment. Strong problem-solving skills, with the ability to tackle complex technical challenges and find innovative solutions. Solid understanding of agile methodologies and project management practices. Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts in a simple and understandable manner, especially to non-technical stakeholders such as PMs, UX designers, and other team members. A passion for continuous learning and staying updated with the latest industry trends.

Transaction Processing Officer (Level -1) Position Overview: Transaction Processing Officer position is responsible for posting, the realized and unrealized gain & loss for an account. Perform research in the mainframe/legacy and inputs the data in Basis Pro tool to make sure the accurate data posted in the account Essential Job Functions: Perform quality check on the data captured in the client platform and ensure highest standard of accuracy Process application forms based on the priority defined by the client Handling the task assigned and providing resolutions within the timeliness Meeting all defined targets like productivity, accuracy, product knowledge and schedule adherence Requirements: Must have Graduation or Post Graduation in commerce and business administration only Should have experience in banking industry Must have strong interpersonal, written communication skills (comprehend and action written customer requests) with a desire to work in a Back-Office Operations environment Must be able to multi-task and be adaptable to change Must be able to meet department expectations, handle repetitive work, and work overtime as required About Mphasis

Be an integral part of an agile team thats constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years applied experience. Experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Experience developing or leading cross-functional teams of technologists. Proficiency in Java, Spring Boot, RESTful APIs, and containerization technologies like Docker and Kubernetes. Strong knowledge of AWS services and cloud deployment strategies Experience with hiring, developing, and recognizing talent. Experience leading a product as a Product Owner or Product Manager Practical cloud native experience Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience working at code level AWS Certified Solutions Architect, AWS Certified Developer, or similar certification.

Roles and Responsibilities Work in a team or individually to design, develop and test web based application Design, develop, test and document quality software to user and functional requirements within specified timeframes and in accordance with the best coding standards Generate rapid prototypes for feasibility testing Generate all documentation relevant to software operation Adhere to prescribed development systems, processes procedures and ensure efficient, effective, high-quality delivery Communicate effectively with all stakeholders Perform tasks as specified by the Delivery Lead/Team Lead Qualifications and/or Experience 4-5yrs of experience as a UI Developer with a strong focus on UI. Strong experience in development, design of User Interfaces using different Front end technologies and approaches - SSR, SPA, PWA Apps Strong work experience in React, Redux, Typescript, JavaScript, HTML5, CSS3 and related technologies who can analyze, and develop code. Good understanding of cross-browser, cross-platform, Server-side rendering, Micro Frontends Experience with RESTful API integration Experience with Microsoft Azure or other cloud environments Experience analyzing and tuning application performance Experience with unit testing using Jest and RTL. Strong Experience on UI Libraries like MUI, ANTD, PrimeReact or Similar library . Good understanding of web accessibility concepts. Good working knowledge of CI/CD environments, Git or similar version control tool Proven experience in user interface monitoring tools. Mandatory HTML5, CSS, JavaScript, Typescript REACT, Redux, React Router, Axios Testing Tools- Jest, RTL Cloud: Azure/AWS Highly Desirable: Next JS Micro Frontend PWA External External Roles and Responsibilities Work in a team or individually to design, develop and test web based application Design, develop, test and document quality software to user and functional requirements within specified timeframes and in accordance with the best coding standards Generate rapid prototypes for feasibility testing Generate all documentation relevant to software operation Adhere to prescribed development systems, processes procedures and ensure efficient, effective, high-quality delivery Communicate effectively with all stakeholders Perform tasks as specified by the Delivery Lead/Team Lead Qualifications and/or Experience 5+ of experience as a UI Developer with a strong focus on UI. Strong experience in development, design of User Interfaces using different Front end technologies and approaches - SSR, SPA, PWA Apps Strong work experience in React, Redux, Typescript, JavaScript, HTML5, CSS3 and related technologies who can analyze, and develop code. Good understanding of cross-browser, cross-platform, Server-side rendering, Micro Frontends Experience with RESTful API integration Experience with Microsoft Azure or other cloud environments Experience analyzing and tuning application performance Experience with unit testing using Jest and RTL. Strong Experience on UI Libraries like MUI, ANTD, PrimeReact or Similar library . Good understanding of web accessibility concepts. Good working knowledge of CI/CD environments, Git or similar version control tool Proven experience in user interface monitoring tools. Mandatory HTML5, CSS, JavaScript, Typescript REACT, Redux, React Router, Axios Testing Tools- Jest, RTL Cloud: Azure/AWS Highly Desirable: Next JS Micro Frontend PWA

: Strong React JS developer 5+ years of professional experience in UI development. Highly proficient ReactJS. Strong proficiency in JavaScript, including DOM manipulation. Handy with ReactJS libraries like redux-toolkit, redux-saga. Highly proficient in writing unit test with React Testing Library. Experienced in Building reusable components. Translating designs and wireframes into high quality code. Good to be handy in AWS lambda (node.js) and AWS cloud watch. Proficient in using Git as a control system.

PURPOSE AND OBJECTIVES SAP Supply Chain Management (SCM) is crucial for businesses as it enhances visibility, optimizes operations, and enables better decision-making, ultimately leading to increased efficiency, reduced costs, and improved customer satisfaction. We are looking to bolster our team with passionate people knowledgeable in SAP Supply Chain Management (SCM) & cloud ERP to expand our coverage both geographically and in scope. The Onboarding Advisor role is responsible delivering Embedded Launch Activities (EmLA) to customers, which include orchestrating the customer onboarding journey for SAP Supply Chain Management (SCM) & Cloud ERP from signature to successful go live. Onboarding Advisor ensures the delivery of expert guidance and enablement to our SAP customers during their onboarding cycle. This role ensures the delivery of a smooth transition from the sales cycle to project start, captures key business goals and project details, and provides targeted project guidance and risk mitigation throughout the onboarding project lifecycle. EXPECTATIONS AND TASKS Customer Deliverables o Manage a portfolio of accounts, overseeing customer onboarding, implementation and adoption needs and assisting them to meet their objectives. o Facilitate the transition from sales cycle to onboarding and project start o Plan, manage and execute the delivery of a series of customer touchpoints to support and guide the customer during their implementation with an aim to achieve a successful on time go-live o Validate and capture customer project plans and objectives o Introduce customers to key resources and set onboarding delivery expectations o Monitor customer project health, identify early warning signs for risk, utilize proper escalation channels to assist customers during times of need. o Collaborate on the development of customer facing collaterals/ best practices in alignment with other stakeholders inside and outside the direct team o Advise on areas of transformation, project and technology readiness o Lead enablement planning in alignment with the customer s business goals and identified needs o Schedule and deliver targeted customer best practice guidance along the customer onboarding lifecycle o Provide communication and status updates to internal and external stakeholders o Advise on go-live planning approach Other o Support/Attend customer enablement events as needed o Continuously enhance your knowledge around topics within the SAP Supply Chain Management (SCM) & SAP Business Suite. REQUIRED SKILLS: Understanding of SAP Supply Chain Management (SCM) & cloud ERP . Hands-On experience on any of the SAP Supply Chain Management (SCM) solutions like TM, EWM, IBP, etc. Experience in multiple software implementations as a Project or Account Manager, Consultant, Presales or Product Engineering Deep understanding of onboarding lifecycle, from a strategic and tactical perspective Deep sense of accountability and ownership Knowledge of SAP internal processes around customer management Ability to quickly adapt to changing environments with attention to detail while maintaining the bigger picture Experience working in a global environment and willingness to adjust working hours occasionally Comfortable and experienced with delivering content to customers in a 1:1 or 1 to many environment Fluent in English (oral and written). Business level fluency in Additional languages like Japanes, Korean, any European is a huge plus WORK EXPERIENCE Minimum of 3 - 5 years of strong experience working with external clients and software implementations. History of helping customers navigate through setting up SAP solutions. Experience identifying common customer challenges and designing content to address these barriers in a 1:1 and 1:many fashion. EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES Strong ability to organize, prioritize and execute Capability to adapt to change and to meet a demanding workload Must be able to maintain a positive, solution oriented and professional manner throughout Strong oral and written communication skills with the ability to credibly present recommendations to senior levels in and outside the SAP organization. Ambition to acquire knowledge of our products and processes and be able to communicate and demonstrate their value to our customers Willingness and ability to effectively collaborate and communicate with key SAP account team members (CSP and IAE) or SAP Partner support teams Able to develop an outside in perspective to best represent and address our customer s needs while maintaining SAP s interests and objective