9 Rex Jobs

Do you want to design and build attractive digital products and services Do you aspire to play a key role in transforming our firm into an agile organization At UBS, the reimagination of our work processes, connections with colleagues, clients, and partners, and value delivery is ongoing. Embracing agility will enhance our responsiveness, adaptability, and innovation. As an individual in this role, your responsibilities will include: - Designing, developing, and enhancing digital products and technology services for clients and employees - Applying a wide range of software engineering practices, from user needs analysis to feature development, automated testing, and deployment - Ensuring quality, security, reliability, and compliance of solutions by implementing digital principles and meeting functional and non-functional requirements - Incorporating observability into solutions, monitoring production health, assisting in incident resolution, and addressing root cause of risks and issues - Understanding, representing, and advocating for client needs - Sharing knowledge and expertise with colleagues, participating in hiring processes, and contributing to engineering culture and internal communities regularly In the agile operating model at UBS, teams are aligned with larger products and services to meet client needs and consist of multiple autonomous pods. You will be a part of the Save, protect, and grow team in Pune, focusing on the Advisory Portfolio Management business area, which includes portfolio management, model management, trading, and reconciliation. This team, spread globally, manages a significant percentage of Assets Under Management (AUM) for UBS. Your expertise should include: - Strong understanding of rdbms concepts, pl/sql, data modeling, and data design - Hands-on experience in query optimization - Working knowledge of postgressql - Experience in ETL and ELT processing using tools like Azure Data Factory (ADF) - Good knowledge of Azure environment, containerization concepts, cloud-native development practices, Azure wizard, etc. - Solid grasp of DevOps and CI/CD concepts (GitLab, TeamCity, automated testing, pipelines, Ansible, Rex, Maven, IntelliJ, Sonar) - Resilient team player with strong interpersonal skills, driving initiatives independently - Experience in gitlab-facilitated software delivery UBS, the world's largest and only truly global wealth manager, operates through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in major financial centers across more than 50 countries, our global reach and expertise differentiate us from competitors. As part of our hiring process, you may be requested to complete assessments. At UBS, flexible working arrangements such as part-time, job-sharing, and hybrid (office and home) options are available when feasible. Our purpose-led culture and global infrastructure enable us to collaborate and work agilely to meet business needs. Great work is achieved through collaborative efforts. Join #teamUBS and contribute to making an impact with us. UBS is an Equal Opportunity Employer that values and empowers individuals from diverse backgrounds, cultures, perspectives, skills, and experiences within our workforce.,

Should have minimum exp of 6+ years to 10+ years Requirement of good Postgres Senior Developer/ Architect with 6+ years of experience on working with PostgreSQL. Excellent understanding of RDBMS Concepts, PL/SQL, Data Modelling and Data design. Hands on experience in query optimization Working knowledge of PostgresSQL is a must Experienced in ETL and ELT processing via tools like Azure Data Factory (ADF) Good knowledge of Azure environment, containerization concepts, cloud native development practices, Azure Wizard etc. Excellent understanding of DevOps and CI/CD concepts (GitLab, TeamCity, Automated Testing, Pipelines, Ansible, Rex, Maven, IntelliJ, SONAR) Excellent understanding of Agile methodologies and hands-on delivery experience in a pod setup Hands on experience in Database migration projects from Mainframe DB2 (on z/OS) to Azure PostgreSQL database Migration hands on experience of at least 1 project from DB2 database objects like Schemas, Data, Stores Procedures and Constraints Good to Have exposure in migrating Mainframe DB2 database objects into PostgreSQL equivalent objects (like Schemas, Tables, Constraints, Views, Indexes, Triggers, Sequence, Usage Lists) Experience in converting DB2 Storage Procedures functionality into Postgres equivalent SQL code OR writing new Postgres Procedures / APIs Optimizing SQL queries and database configurations for PostgreSQL Ability to write database queries and code while maintaining data quality, privacy, and security

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

As a Client Adoption Specialist, you’re responsible for engaging with IBM clients in pursuit of accelerating their deployment of strategic offerings within their production environment, delivering deep technical expertise that leads to successful implementations. You will be assigned to work with strategic offerings that include IBM Concert, watsonx Code Assistant for Z, and watsonx Assistant for Z. You will work directly with the end client, planning for and executing implementation plans. You will collaborate with the assigned IBM account teams as they are responsible for ensuring the right client sponsors and champions are actively involved and upon successful implementation validating key performance measurements have been met. You will interact with IBM development labs to provide product feedback and engage as needed for product support. The core objectives and success factors for you and other team members: Core Objectives Success Factors + Accelerate client adoption # Client Adopters + Drive future growth # Case Studies + Increase platform stickiness # Client References IBM Values – Growth Minded, Trusted, Team Focused, Courageous, Resourceful, Outcome-Focused Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Strong skills are an imperative. The following skills and attitudes are critical to success in the role. Professional Skills Technical Expertise -Strong communication -Intellectual curiosity / continuous learner -Ability to influence -Strong organizational skills -Timely, execution for impact -Proven track record to win and compete -Change agent -Expert experience withtwo or more of the following ooperating system administration skills (linux, windows, zOS) oTCP/IP network and LDAP administration skills oAPM solutions on IBM Z platform oIBM CICS and/or IMS admin skills oEnterprise COBOL development skills e.g. read, write, modify, troubleshoot oJava development skills e.g. read, write, modify, troubleshoot -Proficient experience withtwo or more of the following: oOpenTelemetry (OTeL) oAnsible Automation Platform oprogramming languages common to automation e.g. REX, JCL, YAML oworking with Large Language Models and RAG models oworking with Conversational AI oworking with VS Code ointeroperating COBOL and Java within a zOS subsystem isa bonus

Fast API, Azure UI Search API (React) Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Azure Cloud Basics (Azure DevOps) Gitlab End-to-end AI solution delivery AI integration and deployment

As a Client Adoption Specialist, you’re responsible for engaging with IBM clients in pursuit of accelerating their deployment of strategic offerings within their production environment, delivering deep technical expertise that leads to successful implementations. You will be assigned to work with strategic offerings that include IBM Concert, watsonx Code Assistant for Z, and watsonx Assistant for Z. You will work directly with the end client, planning for and executing implementation plans. You will collaborate with the assigned IBM account teams as they are responsible for ensuring the right client sponsors and champions are actively involved and upon successful implementation validating key performance measurements have been met. You will interact with IBM development labs to provide product feedback and engage as needed for product support. The core objectives and success factors for you and other team members: Core Objectives Success Factors + Accelerate client adoption # Client Adopters + Drive future growth # Case Studies + Increase platform stickiness # Client References IBM Values – Growth Minded, Trusted, Team Focused, Courageous, Resourceful, Outcome-Focused Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Strong skills are an imperative. The following skills and attitudes are critical to success in the role. Professional Skills Technical Expertise -Strong communication -Intellectual curiosity / continuous learner -Ability to influence -Strong organizational skills -Timely, execution for impact -Proven track record to win and compete -Change agent -Expert experience withtwo or more of the following ooperating system administration skills (linux, windows, zOS) oTCP/IP network and LDAP administration skills oAPM solutions on IBM Z platform oIBM CICS and/or IMS admin skills oEnterprise COBOL development skills e.g. read, write, modify, troubleshoot oJava development skills e.g. read, write, modify, troubleshoot -Proficient experience withtwo or more of the following: oOpenTelemetry (OTeL) oAnsible Automation Platform oprogramming languages common to automation e.g. REX, JCL, YAML oworking with Large Language Models and RAG models oworking with Conversational AI oworking with VS Code ointeroperating COBOL and Java within a zOS subsystm is a bonus

As a Client Adoption Specialist, you’re responsible for engaging with IBM clients in pursuit of accelerating their deployment of strategic offerings within their production environment, delivering deep technical expertise that leads to successful implementations. You will be assigned to work with strategic offerings that include IBM Concert, watsonx Code Assistant for Z, and watsonx Assistant for Z. You will work directly with the end client, planning for and executing implementation plans. You will collaborate with the assigned IBM account teams as they are responsible for ensuring the right client sponsors and champions are actively involved and upon successful implementation validating key performance measurements have been met. You will interact with IBM development labs to provide product feedback and engage as needed for product support. The core objectives and success factors for you and other team members: Core Objectives Success Factors + Accelerate client adoption # Client Adopters + Drive future growth # Case Studies + Increase platform stickiness # Client References IBM Values – Growth Minded, Trusted, Team Focused, Courageous, Resourceful, Outcome-Focused Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Strong skills are an imperative. The following skills and attitudes are critical to success in the role. Professional Skills Technical Expertise - Strong communication - Intellectual curiosity / continuous learner - Ability to influence - Strong organizational skills - Timely, execution for impact - Proven track record to win and compete - Change agent - Expert experience with two or more of the following o operating system administration skills (linux, windows, zOS) o TCP/IP network and LDAP administration skills o APM solutions on IBM Z platform o IBM CICS and/or IMS admin skills o Enterprise COBOL development skills e.g. read, write, modify, troubleshoot o Java development skills e.g. read, write, modify, troubleshoot - Proficient experience with two or more of the following: o OpenTelemetry (OTeL) o Ansible Automation Platform o programming languages common to automation e.g. REX, JCL, YAML o working with Large Language Models and RAG models o working with Conversational AI o working with VS Code o interoperating COBOL and Java within a zOS subsystem is a bonus

Please find below details about the position for your reference & provide confirmation/ acceptance for this job role: CAA (Cloud Architect Advisory) This is SAP Cloud Architect position which is elevated role as per career progression/ path for SAP Basis consultant. Architects primary role/ responsibility is to plan/ design & guide customers about their SAP Landscape and for this job position also expectation is that selected candidate will perform similar responsibilities to guide SAP Customers about their landscape on SAP RISE Platform. SAP RISE Platform offers all latest SAP Technologies (Products) with options for customer to select their own Hyperscaler (AWS, Azure or GCP). CAA team member works very closely with SAP presales team to understand Customer requirement for their landscape and based on their SAP Product/ Infrastructure selection create their to-be landscape architecture/ design. CAA team member has responsibility to discuss landscape architecture (setup & build process, dependencies etc.) with Customer leaders & their technical team. (Refer detailed Roles & Responsibilities below) This role is Customer facing and will require to join meetings, answer technical queries from customer team & present assessments. Since it is an architect role so there will not be any hands-on work. Scope for the career Have a scope of learning new technologies on SAP Products (S/4HANA, HANA Database, MDG, SaaS Products (Ariba, Salesforce etc.) & Cloud (AWS, Azure OR GCP) Will have access to all SAP internal training & learning materials to gain knowledge in latest technologies. Will gain exposure to all latest build architectures in one single place/ position which will be valuable/ useful in future. Generally this exposure is not available in any regular SAP Basis position. Will not be assigned/ dedicated to one single customer but will engage with Multiple customers in various Industries to gain knowledge about different SAP Landscape setups, Delivery processes & Challenges. Roles and Responsibilities: As a Technical Architect below would be the Roles & Responsibilities and to perform this job proper KT & Training will be provided once onboarded in the account: Bill Of Material Review & Analysis Review technical accuracy of Bill Of Material to validate that no obsolete version product (ECC etc.) is selected to build on SAP RISE platform Provide feedback to the Sales Team on Bill Of Material to confirm if selected product and version is available to build Do technical validation of customer landscape to validate Product version build viability Analyze Early Watch Reports & Technical Data to validate hardware selection/ sizing. Work closely with Sales Team on architecture, landscape, and to-be. Sizing the to be Landscape for Migrations. Customer Deal Support – Pre-Signature Prepare Technical Assessments to discuss with Customer and explain about their to-be landscape Conduct Technical Assessments with customers Perform workshops with customer (networking, HA concepts, RACI reviews) Customer Deal Support – Post Signature Onboarding Questionnaire Support (assist customer with questions on onboarding) Answer questions of customer relating to delivery Provide delivery with key information during sales cycle Provide turnover to delivery of key items during sales cycle Answer questions of delivery specific to the delivery Work Location : Remote(As off now) Technical skill and experience required: 6+ years (CAA Role)- REX (SAP Basis, SAP HANA and S/4 HANA skills, Migration/ Upgrades & Experience on Any Cloud (AWS, MS Azure, GCP) – Good Comm Skill ,who can articulate , Exp in Customer Facing Role & responsibilities Preferred candidate profile

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems