Roles and Responsibilities:- You must be an experienced Azure Cloud engineer with 8-10 years of Experience as part of AI engineering team to develop, implement, optimize, and maintain cloud-based solutions. You will be responsible for deploying and debugging cloud stacks, adopting and implementing best cloud practices, and ensuring the security of the cloud infrastructure. Responsibilities As part of project scrum team member design and implement the most optimal cloud-based solutions for the company Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design Modifying and improving existing systems. Educating teams on the implementation of new cloud technologies and initiatives. Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security. Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues. Define and document best practices and strategies regarding application deployment and infrastructure maintenance. Regularly reviewing existing systems and making recommendations for improvements. Qualifications Degree in computer science or a similar field. Eight or more years of experience in architecting, designing, developing, and implementing cloud solutions in Azure or AWS Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS . Strong proficiency in Python and experience with REST API development . Design and implement scalable, secure, and efficient cloud-based solutions using Azure services. Develop and maintain RESTful APIs to support various applications. Technologies: Python, Terraform, Azure app services, Functions, App Insights, ADF in AZURE Similar Technology stack for AWS like ECS, Lambda, S3, Glue jobs etc Developing and maintaining continuous integration and continuous deployment pipelines Jenkins Groovy scripts. Developing containerized solutions and orchestration (Docker, Kubernetes, App Service or ECS) Experience of server less architecture, cloud computing, cloud native application and scalability etc Collaborate with cross-functional teams to define, design, and ship new features. Optimize applications for maximum speed and scalability. Implement robust security measures and ensure compliance with industry standards. Monitor and troubleshoot application performance and resolve any issues. Participate in code reviews and contribute to the continuous improvement of the development process. Development experience with configuration management tools (Terraform, Ansible, Arm Templates). Relevant certification of Azure/AWS preferred. Troubleshooting and analytical skills. Knowledge of AI & ML technologies, as well as ML model management is a plus.
Role & responsibilities Position : SAP Integration Architect Location: Bangalore/Bhubaneswar/Kolkata/Mangalore/Mysore Immediate Joiners Preferred What were looking for: Experience with SAP Integration Suite (iFlows, CPI, API Management, Event Mesh, etc.) Strong background in SAP integrations (REST/SOAP, IDoc, RFC, etc.) Ability to lead and design enterprise-grade integration solutions Exposure to SAP IS modules is a plus
Role & responsibilities Position : SAP Integration Architect Location: Bangalore/Bhubaneswar/Kolkata/Mangalore/Mysore Immediate Joiners Preferred What were looking for: Experience with SAP Integration Suite (iFlows, CPI, API Management, Event Mesh, etc.) Strong background in SAP integrations (REST/SOAP, IDoc, RFC, etc.) Ability to lead and design enterprise-grade integration solutions Exposure to SAP IS modules is a plus
Mandatory Skillset required for Data Modeller Market reference data, Financial and Investment background UML class diagrams tools: for example: Erwin, ER Studio, Sparx Enterprise Architect, Data Modelling Candidates must be able to: Create a logical model diagram from a set of user stories Review a logical model against a set to user stories Check a logical mode for consistency, normalisation, and correctness Job Description Data Modeler Data Management & Strategy Importance of Role: LSEG is the leading provider of news and financial information in the world. On its own, the value of its data is significant, but usability and insights are significantly enhanced based on the way we organize and arrange our data in order to make it understandable and discoverable. The LSEG Data Model standardizes the concepts our data represents. The successful execution of a data and technology strategy that leverages these data models and this connected data provides better ideas through more insightful analysis, more accurate calculation of risk exposure, and eases regulatory reporting requirements. For these reasons, utilization of connected datasets results in a significant competitive advantage. Knowledge & Skills required Good understanding of financial reference and/or market reference data. Data modelling skills and a working knowledge of the difference between conceptual, logical and physical models. In-depth knowledge of database structures for reference data as well as methods of working for sourcing and capturing this data Understanding of UML and ERD for logical data models is essential for this role Understanding of RDBMSs and proficiency with SQL Experience of Sparx Systems Enterprise Architect, or other visual data modelling tools desirable but not essential Understanding of JSON and/or XML essential Knowledge & Skills preferred, but not required Strong analytical skills with methodical and independent approach to problem solving Excellent verbal and written communication skills Eagerness to learn and collaborate with others, quick learner and able to work with little supervision Able to liaise across the organization, including News, Content Ops, Product Management, and Technology Stakeholder Management experience and skills - able to converse with all levels of stakeholders to understand and extract the required business requirements Excellent oral and written communication skills Collaborative approach Organize and facilitate meetings & workshops and record actions and decisions Exposure and understanding of different agile approaches and good working knowledge of analysis tools including Jira Responsibilities Working closely with subject matter experts & data architects, analyze the data requirements & produce the LSEG Data Model Identify problems and issues in the current architecture Participate in the generation of the physical implementation of the data model Execute governance related activities, participating in reviews & ensuring conformance to standards Certifications / Education University degree strongly preferred Professional Experience At least 5 years of data modelling experience, preferably within the financial services industry working on large scale data migration programmes Full project lifecycle implementation experience including familiarity of agile projects Behavioral Competencies Collaborating across boundaries Focusing on customers Championing innovation Driving results
Role & responsibilities Manual QA Engineer with experience in "FX Surveillance" The candidate must be associated with Financial or Trading domain. Experience with Python automation would be a plus. 5+ y QA experience. Senior level. Testing experience in Trading field, especially in FX. Testing experience with Alerts or Market Monitoring activities. Proficiency in requirements analysis, test case design and execution, bug reporting. Proficiency in using Jira. Experienced with SQL. Experienced with AWS services. Experienced with UNIX commands. Experienced with creating, updating, and running test scenarios and test cases based on the requirement specifications. Experienced with working with Jira Good communication skills. Proactive. Team-player. Nive to have: Proficiency in Python for writing automation scripts and QA utilities Mail me at tapas@ridikgrad.com
Job Role:- Software Engineer ( Data structures, algorithms, design patterns). Location:-Bengaluru Role & responsibilities Strong computer science fundamentals: data structures, algorithms, design patterns. Extensive hands-on experience building UI applications using React, NodeJS, Javascript, HTML, CSS. An understanding of java and other back-end technologies is a plus. Good understanding of relational databases (SQL Server) Knowledge of Cloud Architecture (Azure), UI frameworks ( Redux ), Microservice Architecture and related stacks and container technologies (Docker, Kubernetes, etc.) Agile methodologies and DevOps CI/CD development environments/tools: Git, Docker, Kubernetes. Well versed in TDD,BDD methodologies and the enabling tools and technologies .