Responsibilities Design, build, and own large?scale batch and streaming data pipelines using Spark, Kafka, and Python Define and maintain robust data models to support analytics, reporting, and ML consumption Ensure data quality, reliability, observability, and performance across production pipelines Act as a technical lead for complex data initiatives spanning multiple teams Partner with Data Science teams to: Enable ML feature pipelines Support model training and inference data flows Operationalize ML outputs into downstream systems Drive best practices in data engineering, including code quality, testing, and production readiness Mentor engineers and raise overall engineering standards across the data platform

Responsibilities You will identify and support all platform and user operations related to Visa Cloud Platform services (IaaS/PaaS/Container as a service) On a typical day, Engineer will be primarily responsible for solving platform user and reliability issues. You will apply advanced troubleshooting techniques to provide tailored solutions and dive deep into the root cause of an issue. You will partner closely with software and systems engineers across the organization to ensure services/systems are highly stable and performant Collaborate with other team members on managing end-to-end availability and performance of mission critical services while working on individual projects priorities, deadlines, and deliverables Strong communication skills with a strong sense of urgency and attention to details Visa Cloud SRE team has 24/7/365 operation model and work schedule will be required to work in shift or on call support modelQualification & ExpeirenceB.S. or higher in Computer Science or other technical discipline, or related practical experience 5+ years’ experience in Application or Production support group for high availability/critical platforms/applications Hands on experience in Linux and Windows systems and good understanding of distributed computing environments

Responsibilities Ensuring smooth and efficient transition of IT projects during the operational phase  Collaborating with cross-functional teams to identify and resolve potential issues during the transition process  Continuously improving transition and methodologies to optimize efficiency and effectiveness  Coordinate closely with Rome IT Application Production Teams working on IT Evolution program and all other BNL BNP Paribas IT teams  Proven ability to manage multiple projects simultaneously and meet deadlines  Excellent communication and interpersonal skills  Strong problem-solving and analytical abilities  A proactive and results-driven approach to work

ResponsibilitiesAs member of the SPTS (Specific Payments & Transversal Services) squad you participate to the analysis, design, development, integration, test and support of qualitative Payment’s products, solutions and services in Java technology. · Ensure together with the other squad members the implementation of Swagger APIs, maintenance and future improvements. · Document the solutions. · Understand the needs of the business and translate these needs into functional and technical analyses. These analyses are the input for the software developers. · Assist the testers in test sets, creating test scenarios and solving complex defects

ResponsibilitiesDesign and develop test cases based on functional and non-functional specifications. Execute test cases manually and report any defects found during testing. Verify bug fixes and track the issues to resolution. Create and maintain test documentation including test plans, test cases and test reports. Perform regression testing to ensure new features do not negatively impact the existing functionality. Provide feedback to the development team/Business analyst on software quality and usability. Participate in project meetings and provide input on testing strategies and timelines.

ResponsibilitiesOwn and coordinate end-to-end technical deployment activities for significant IT changes, including CCS releases, technical upgrades, PSU drops, in-life fixes, and failover or disaster recovery rehearsals. Drive deployment planning, rehearsals, cutover, rollback, and hypercare activities, ensuring readiness across all dependent systems and teams. Ensure Change Request (CRQ) documentation, run books, and deployment plans are complete, accurate, and audit-ready prior to execution. Coordinate with application teams, infrastructure, operations, service introduction, and third-party suppliers to ensure aligned execution and appropriate support coverage. Manage Go / No Go decision points, proactively escalating risks, issues, and dependencies in a timely and transparent manner. Lead deployment bridges and war rooms during high-risk or business-critical changes, enabling rapid decision-making and resolution. Ensure effective handover to Operations, including Early Life Support and contribution to Post Implementation Reviews (PIR). Report deployment status, risks, and outcomes to IT and business stakeholders throughout the deployment lifecycle. Support continuous service improvement by capturing lessons learned and contributing to enhancements in deployment processes and tooling.

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

ResponsibilitiesAssist in development of new screens using Basic HTML/ .NET/ SQL SERVER/ JAVASCRIPT/ CSS/ AJAX and Web 2.0. Integrate the business requirements obtained with the product. Undertake client training.Qualification & Experience     Experience 1-2 YearsQualifications UG - B.Tech/B.E. - Any Specialization. PG - M.Tech - Any Specialization, MCA - Computers.

ResponsibilitiesAssist in development of new screens using Basic HTML/ .NET/ SQL SERVER/ JAVASCRIPT/ CSS/ AJAX and Web 2.0. Integrate the business requirements obtained with the product. Undertake client training.Qualification & Experience     Experience 0-6 MonthsQualifications UG - B.Tech/B.E. - Any Specialization. PG - M.Tech - Any Specialization, MCA - Computers.

ResponsibilitiesBuild and maintain scalable data pipelines and data processing workflows to support analytics and machine learning use cases. Develop and deploy machine learning models into production systems, ensuring reliability and scalability. Design and implement backend APIs to serve data products and ML outputs to downstream applications. Develop lightweight frontend applications, dashboards, or interfaces to enable business users to interact with data and models. Collaborate with data scientists to productionize models and integrate them into end-to-end solutions. Work with large-scale datasets across cloud-based data platforms and warehouses (e.g., Snowflake, Azure Synapse). Implement best practices in software engineering, including modular code design, testing, and version control. Utilize containerization (Docker) and CI/CD pipelines for efficient deployment and scaling of applications. Optimize performance of data pipelines, APIs, and user-facing applications. Translate business requirements into technical solutions and support stakeholders with data-driven tools and insights.Qualification & Experience     Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical fields. 2–5 years of experience in data engineering, ML engineering, or full-stack development roles. Strong programming skills in Python and SQL, with experience building data pipelines and backend services. Hands-on experience with machine learning model integration and deployment in production environments. Experience developing backend APIs using frameworks such as FastAPI, Flask, or Django. Exposure to frontend technologies (e.g., React, NextJs or similar) to build user-facing applications and dashboards. Experience working with cloud platforms (AWS/Azure/GCP) and modern data architectures (data lakes, warehouses). Familiarity with CI/CD pipelines, Docker, and version control (Git). Understanding of data modeling, ETL processes, and scalable system design. Ability to work across the stack—from data pipelines to APIs to front-end interfaces. Good-to-have: Proficiency in Excel and PowerPoint with ability to support business communication and storytelling. Good-to-have: Prior exposure to consulting, analytics use cases, or Consumer Products domain.