The DB2 system programmer provides administration and customization of IBM's relational database management system on IBM z/OS. Provides the interface for programs to access data through SQL, codes programs/routines for automating database administration tasks. Archives data, performs data replication and Change Data Capture.Additional Support Provided:Liaison between z/OS support and DB2 DBAsMonitoring Documentation, updating as neededCCB Process (CTRB and CCB) per installation/upgradeDaily operational status inputDR (primary and backup roles as it rotates thru the team)To qualify, you must meet these basic qualifications:ASG TMON/CICS - Monitor for CICSBMC Product Suite - monitor and maintain 22 different products in the suite on each LPAR.Apptune for DB2Catalog Manager for DB2Change Manager for DB2COPY PLUS for DB2Cross-System Image ManagerDASD Manager Plus for DB2OPERTUNE for DB2High-Speed Apply EngineLoadPlus for DB2Log Master for DB2MainVew for DB2MainView for DB2/Data CollectorPool Advisor for DB2R+/CHANGE ACCUMRecover Plus for DB2Recovery Manager for DB2Reorg Plus for DB2SQL Explorer for DB2Unload Plus for DB2Visualizer / Universal Information ExchangeeXtended Buffer Manager for DB2 - XBMBMCSortCA View Output Archival and ViewingCA View CICS InterfaceExtended Retention Option (ERO)BMS/GTCICS/BATCH to CICS (MBC CEMT)IBM DB2IBM CICSSeeking a highly skilled z/OS DB2 System and Database Administrator. This involves designing system solutions, implementing new features, resolving complex incidents and problems, performance tuning, responding to infrastructure monitoring and alerts, consultation with application support and development staff as well as coordinate activities with other associates and vendors by performing the following duties.ResponsibilitiesIn addition to the following, other duties may be assigned.Provide z/OS DB2 system and database administration.Installation, implementation and debugging of system software and hardware, including operating systems, application packages and in-house written routines that are common to all system users.Installation, implementation, configuration and debugging z/OS DB2 software and associated tools.System monitoring and performance tuning for computer operations, programming staff, and end users.Effectively plan simple and intermediate projects.Provide and analyze capacity planning data and provide recommendations.Experience resolving complex problems logically and methodically, and good judgment to involve and communicate with vendors, internal teams and management.Ability to design, implement and maintain Disaster Recovery Plans (DRP) and provide support for BCP exercises and actual disaster recovery.Ability to drive innovation for system improvements, determine architectural and design best practices, find automation opportunities and guide proper use of new featuresMonitors and refines processes, procedures, and systems to optimize effectiveness and/or integrity and recommends and/or implements improvements.Participate in defining architectural roadmaps for technology based on business needs and industry trendsApply corrective maintenance to mainframe system software on a regular basis.Modify mainframe system software, operational parameters, and system resource allocation on a regular basisProvide input on mainframe hardware and software contracts.Maintain the mainframe base systems to provide a platform for our programmers and users.QualificationsMinimum 8+ years experience as a DB2 system and database administratorIBM hardware and software. (Z/OS , CICS, z/OS DB2, RACF, Omegamon for DB2, Log Analyzer, Move for DB2, DB2 Admin Tool)IBM utilities, JCL, access methods and file structuresProgramming languages such as REXX and C-listSMP/E proficiency required for the MVS environment.Access and security administrationDB2 monitoring softwarePreferred Qualification: 4+ years’ experience installing and managing IBM System Z (z/os).Provide 24x7 support.Excellent verbal and written communication skills are preferred.Possess both analytical and problem-solving skills are essential.The ability to work and build relations in a team environment is essentialGood organization/prioritization skillsAbility to work without supervisionHave the ability to work under pressure to meet deadlines and still maintain quality workExcellent customer service skills are requiredAbility to handle multiple responsibilities and to apply judgment as well as knowledge is required.Ability to learn new skills and tasks quickly

NetBackup Installation & configuration (L3)Perform regular system maintenance; Incident solving; Change implementation; Patch management; Analyze/solve performance and security issues Complex backup scheduling maintenance also includes helping solve complex problems related to operating system; databases; middleware or applications teamsStrong experience on Linux and scripting (preferably: shell, python, puppet)Hands-on experience on Veritas Enterprise Vault and Data Domain appliancesInstalling and configuring CommVault idata agents for Windows File system, Unix file system, SQL, Oracle, Exchange, NAS (NDMP), VMWARE VADP backup Configuration and troubleshooting of SAN Client backup (Fiber Transport)Clear understanding on SLP and VaultUpgrading and patching the Backup serversOracle/SQL/ESX/NDMP Integration with NetbackupHands-on experience on Replication DirectorManaging Internal Database of NetBackupShould also have good understanding on TCP/IP concepts.Need to have clear understanding on SAN Infrastructure and Architecture. Understanding of functional requirements and translation of business requirements into technical specifications Object storage (Centera/ATMOS/ECS/eVault/StorageGrid) administration Experience.Good to Have (Optional)Knowledge on Agile Methodology and deliveriesKnowledge of SAN fabricsUnderstanding of VMware infrastructure specifically datastore provisioning and configurationKnowledge on NetApp cDOT and OnCommand Tools (preferably OCUM / Active IQ)General understanding of networking concepts such as VLAN, trunking, LACP, IP addressing and routingAdvanced knowledge of file services administration and permissions management and file auditingUnderstand procedures to ensure consistent storage provisioning, uptime, regulatory compliance, and data protection.

In this role, you will: (Principal Responsibilities)As a key member of the technical team alongside Engineers, Data Analysts and Business analysts, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process:Software design, Scala and Python - Spark development experience, automated testing of new and existing components in an Agile, DevOps and dynamic environment.Minimum 1 year experience in ScalaPromoting development standards, code reviews, mentoring, knowledge sharingProduction support & troubleshooting.Implement the tools and processes, handling performance, scale, availability, accuracy and monitoringLiaison with BAs to ensure that requirements are correctly interpreted and implemented.Participation in regular planning and status meetings. Input to the development process through the involvement in Sprint reviews and retrospectives. Input into system architecture and design.To be successful in this role, you should meet the following requirements: (Must have Requirements)Scala and Python development and understanding requirements and come up solutions.Experience using scheduling tools such as Airflow.Experience with most of the following technologies (Apache Hadoop, Pyspark, Apache Spark, YARN, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).Sound knowledge of working in Unix/Linux PlatformHands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL.Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.Understanding of big data modelling techniques using relational and non-relational techniquesExperience on debugging code issues and then publishing the highlighted differences to the development team.Flexible to adapt to new tooling.The successful candidate will also meet the following requirements: (Good to have Requirements)Experience with Elastic search.Experience developing in Java APIs.Experience doing ingestions.Understanding or experience of Cloud design patternGCP Development experienceExposure to DevOps & Agile Project methodology such as Scrum and Kanban.Senior DE:Same as above but need to have experience managing data engineers, have experience working with stakeholders, actively engaging for key technical discussion and have a very good technical knowledge. Should have at least 7 years experience working in data engineering.

Job Description:We are currently seeking an experienced professional to join our team in the role of Data Protection Automation Engineer. You should have excellent knowledge of the scrum framework, with all its artifacts and techniques. Youll also need the ability to coordinate people and projects with your mind set on deliverables.In this role, you will:Contribute to sprints, retrospective meetings and daily stand-upsWork with product owners to handle backlogs and new requestsDesign, develop, test and support automation for the data protection services (NetBackup) within the bank.Design, develop, test and support reporting and monitoring capabilities for the automation.Provide engineering support on the banks data protection products and their standard usage.Undertake product evaluation, new features, and versions.Produce clear and comprehensive documentation for all automation produced.Mentor less experienced members of staffTo be successful in this role, you should meet the following requirements:Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement)Extensive knowledge of software development languages, including Python, BashComprehensive experience in configuration management and orchestration using Redhat AnsibleProficient in designing, developing, and testing Rest API services.Hands on experience in Devops SCM tooling, GitHubHighly competent in Devops CI/CD tooling, Jenkins, CloudBeesSkilled in using Devops collaboration tools, Jira, ConfluenceKnowledgeable in Veritas NetBackup and related infrastructureKnowledgeable in Commvault and related infrastructure

Principal responsibilitiesDesign, develop and implement DataStage interfaces using IBM DataStage 11.7.Establish strong client relationships with operations, accounting, risk and other business partners in order to better ascertain, analyse and gather their needsSuggest configuration changes to the system in order to meet business requirementsDocument and translate requirements into functional design if requiredLiaise with business users to ensure proper understanding of requirements and ensuring quality deliverablesShould have good experience of test planning and strategy and can prepare test plans.Prepare & execute test cases / scripts to support project testing lifecycle.RequirementsIBM DataStageDevelopment in SQL, PL/SQL and Oracle database.Basic Unix shell scripting, Control-M, PL-SQL, RTC, JIRA etc.Project LifecycleProcess flow analysisStrong analytical skills and the ability to merge multiple existing workflows into one, standard flowProven experience in delivering quality specifications that are well understood by both the business and development/implementation teamProven experience in an IT Development environment

In this role, you will:Be expected to be a self-driven contributor leading & driving global strategic initiatives into the organization by applying appropriate enterprise methodologies.Engineer a set of defined technology defaults’ available on the CSP (e.g. infrastructure,images, logging, monitoring, application performance, scheduling, caching, networking, content delivery, containers, pipelines), making these available as code – open sourced for downstream teams to consume.Developing and maintaining a proactive security compliance product to ensure that CSP services are configured and consumed in a secure/compliant way.Ensuring the engineered solutions are following the service management approachDevelop patterns that are secure by design for CSP products and services and in keeping with HSBC risk and control standards.Where and when needed, apply project management and coordination skills to lead the initiative towards resolution.Provide L2/L3 support for the engineered solutions on CSPs.Hands on coding –writing code to capture inventory data, operational databuilding aggregations and visualization using BI and/or dashboard toolswriting, enhancing and maintaining API endpointsTo be successful in this role, you should meet the following requirements:Bachelor of Technology (or equivalent) degree with 8+ years of relevant experience.Enthusiastic, high-energy individual, self-motivated, people-oriented, and self-directed.Ability to build strong relationships and communicate with a wide spectrum of stakeholders including 2 level up in the organization.Very strong technology background in application development and architecture.Fair understanding of enteprise architecture, preferably in the financial services sector.Good understanding and exposure to the Cloud technologies and cloud service providers - GCP, AWS, Azure. Well versed with the concepts of IaaS, PaaS, SaaS, CaaS.Ability to automate processes using programming languages and scripting tools.Proven experience with Java, Python, JSON, Web Services, Powershell and Bash (or similar).Knowledge of CICD pipeline practices and Microservices is desirable.Exposure and appreciation of concepts like ‘Anything’ as a Code’ and ‘Anything as a Service’.Understanding of Internet concepts technologies (DNS, TCP, HTTP, Proxies, Load balancing)Knowledge of operating system, virtualization, security, backup, disaster recoveryAppreciation of security, reliability, scalability and availability requirements.Experienced working in a globally spread matrix managed organization(or team) using Agile methodologies.Knowledge and hands-on experience in working in an enterprise ITSM environmentPreferred Skills :Certifications in AWS, GCP or Azure including DevOps certifications are a plus

12+ years of total experience in IT and at least 3 years experience as Technical Lead or Architect with experience in managing distributed teams.Experience with analysing requirements and providing fit for purpose solution designs following best architecture practices.Effective communication skills, graphical, written and verbal for technical and non-technical audiencesExperience in Architecture, Design, and Implementation of global, highly scalable, highly available, Cloud services and solutions.Experienced with Java, modern development frameworks and development CI/CD pipelines and microservices architecture / Docker / KubernetesExperienced in designing internal/external APIs in secured manner in cloud and in on-prem environments (e.g. with Kong runtime)Experience in applying the right design patterns for cloud and hybrid architecture (e.g. GCP, AWS, Azure)Experience on designing integrations using technologies like Kafka, Pub/Sub, REST, message queues.The successful candidate will also meet the following requirements: (Good to have Requirements)Experienced to coach the engineering team to follow technical guidance and best-practicesAbility to manage proof of concepts, exploratory projects to identify, evaluate and eventually adopt most suitable solutionsExperience to build high level proposal (eg. Clear Choice) and articulate the pros and cons, in Business term, to ensure conscious decisions are madeExperience with agile methods, along with having found their limitations and ways to overcome them.Solution architects with significant project experience in Power Platform – Canvas, Model driven and Dataverse, Azure Cloud, Power Automate, Power App, Power BI (Soft skills and architecture experience remain the same as per JD, but the technical exp required is on Power Platform)

Job responsibilitiesStrong understanding of machine learning and deep learning principles and algorithms.Experience in developing and implementing generative AI models and algorithms.Proficiency in programming languages such as Python, TensorFlow, and PyTorch.Ability to work with large datasets and knowledge of data preprocessing techniques.Familiarity with natural language processing (NLP) and computer vision for generative AI applications.Experience in building and deploying generative AI systems in real-world applications.Strong problem-solving and critical thinking skills for complex AI problems.Experience building scalable data models and performing complex relational databases queries using SQL (BigQuery, Cloud SQL, Postgres), etc.Experience working with google cloud computing platforms and containerization technologies (e.g., Docker, Kubernetes).Experience on data extraction/manipulation experience using scripts specific to AI/MLHands-on experience with web APIs, CI/CD for ML, and Serverless DeploymentExperience with debugging and troubleshooting software or solutions design issues Technical Skill Set RequiredDeep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.)Machine learning APIs.Experience with Google Cloud Platform (GCP), Microservices and Vertex AI.Python, APIBigQuery, Cloud SQL & Postgres SQL

Tester & Data Labeler Job Description for ML / GenAI A Tester with GenAI/ML skills will be responsible for end-to-end testing validate the performance, accuracy, and robustness of generative AI models. The ideal candidate will have a strong background in AI/ML testing, a keen eye for detail, and the ability to work collaboratively with stakeholdersThe Data Labeler will be responsible for accurately labeling and annotating data, which is critical for training and validating machine learning models. The ideal candidate will have a keen eye for detail, the ability to follow detailed instructions, and a commitment to maintaining high standards of data qualityPrincipal responsibilities Develop comprehensive test plans and strategies for generative AI models, including defining test cases, scenarios, and metrics.Perform manual and automated testing of generative AI models to ensure they meet quality standards and requirements.Validate the input data and generated outputs to ensure accuracy, consistency, and relevance.Assess the performance of generative AI models under various conditions and workloads.Stay up to date with the latest advancements in AI/ML testing methodologies and tools to continuously improve testing processes.Proficiency in programming languages such as Python.Familiarity with testing tools and frameworks (e.g., pytest, Selenium).Strong analytical and problem-solving skills with the ability to identify and troubleshoot issues in complex AI models.Work closely with AI/GenAI/ML engineers, and other team members to understand labeling requirements and provide feedback on guidelines and processes.Data Labeler Accurately label and annotate various types of data, including text, images, audio, and video, according to predefined guidelines and specifications.Review and verify the accuracy of labeled data to ensure it meets quality standards.Utilize labeling tools and software to perform annotation tasks efficiently.Incorporate feedback from quality assurance reviews to improve labeling accuracy and consistency.Maintain detailed records of labeling activities and any issues encountered during the process.

At least 6+ years of Technical experience in the following GCP, AWS, Java, Kubernetes, MVN, SQL, Oracle etc.Should be GCP certified cloud developer having hands on experience in GKE, networking concept.Should have experience in creating / amended Terraform scripts at GKE.should have experience in creating images and deploy on GKE(google cloud), Monitoring cloud via Stackdriver.Familiar with databases such as Oracle, SQL, RDS and Postgres. Should have development and support experience with containerized SpringBoot applications.Should have sound understanding of the CI/CD Jenkin concepts and Automation via SonarIQ, nexus.Should be able to conduct Unit\Component testing via Junit Eclipse IDE, Postman, Selenium tools etcStrong understanding and skills on Unix\Linux, Shell scripting Familiar with the API Gateway pattern, Microservice and 3DC models.Strong communication skills and documentation skills, ability to Use confluence/JIRA toolsEnthusiastic and self-motivated with excellent time management skills and strong initiativeAble to work independently and effectively under pressureAble to adapt in global team culture and communicate with teammate in different location Added advantages: - Good understanding of Azure Cloud or Hybrid Cloud approach implementations.Good understanding and experience on MuleSoft / PCF/Any Gateway Server ImplementationsHands on experience in Kong API Gateway platformGood understanding and experience on Middleware and MQ areas.Familiar with infrastructure support Apache Gateway ,runtime Server Configurations, SSL Cert setup etc.

Key skills needed:IBMi AdminOS400 UpgradationSoftware installationAdded advantage if resources possess- Programming (CL 400 OR RPG 400) and DB2 400.

Preferred candidate profile Mandatory 3+ hands on working experience on Apache NiFi + Apache KafkaGood to have Google Cloud Big Query Scripting Skills or Snowflake AWS or Cloud SQL KnowledgeHaving working experience on Scala/Java is added advantageMandatory SQL PL/SQL Scripting ExperienceMandatory anyone of Python/Linux/Unix Skills