Job description We are IBM ZOS (Z Operating System, DFSMS - Data Facility for Storage Management Subsystem), professional working on Z Enterprise Systems and we build the most secure systems for our Banking and Enterprise customers to deploy their mission critical applications. Also, We provide atmost security and Data management on Z systems. The mission critical applications run on zOS and all the data menagement is taken care by a product called DFSMS (Data Facility Storage Management Subsystem). DFSMS is a system software running on zOS platform which manages the DATA - End-to-end. It manages all kind of storage like Flash Systems, Disk Storage, SAN Storage, Tape Storage and Network Attached Storage and seemless moves the data across various storage based on the Data storage policy/management. Our IBM z/OS customers heavily rely on the stability of the DFSMS product and new innovative features which can enhance thier user experience and bring in effeciency. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 10+ years of relevant experience - Experience with the Software Development life cycle; coding, unit test, function or component test, system test and integration test Demonstrated execution experience of Systems project development - Strong programming skills in C (Willingness to learn Assembler and IBM high level PLX language ) , PLX, JCL, Assembly, Rexx, Java, Javascript, Unix system scripting Shell/Python. - Strong debugging and troubleshooting - Ability to learn new tools quickly - Good communication skills and be able to work effectively in a global team environment. - Able to guide a team of lesser experienced professionals Preferred technical and professional experience zOS architecture, System programming Familiar with z/OS and z/VM Programming languagesMVS JCL, REXX, Dump reading using Interactive Problem Control System (IPCS). Ability to interpret logs and dumps GIT JIRA Rational Team Concert (RTC) Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills cproject developmentdebuggingtroubleshootingzos sanpythonsystem programmingrexxunit testingsystem softwaresystem testingbackend developmentjavascriptsoftware development life cycleunix systemjcljavagitvmshell scriptingunixjira

Job description Design, develop, and maintain applications using Java/J2EE and IBM Infosphere MDM Advanced Edition v11.x. Participate in development and support projects including fail & fix and maintenance activities. Collaborate with clients and internal teams to understand requirements and deliver solutions. Provide timely and effective support for multiple clients, ensuring quick resolution of issues. Engage directly with clients in a client-facing role, ensuring clear communication and understanding of business needs. Participate in on-call support and be flexible to extend support after hours when required. Follow software engineering best practices, including continuous integration and continuous delivery (CI/CD Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6+ years of hands-on experience in Java/J2EE technologies. 4+ years of hands-on development experience in IBM Infosphere MDM Advanced Edition v11.x. Strong understanding and practical experience with CI/CD tools and practices. Proven experience in development and support projects, including maintenance and issue resolution. Strong client interaction and communication skills, with experience in direct client-facing roles Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies Role: Webmaster Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills continuous integrationjavacd toolsclient interactionci / cd tools kubernetesdata managementci/cdansibledockersqlplsqlgitdevopslinuxj2eejenkinsshell scriptingibm infospherepythonmavenmdmterraformagileawsj2ee technologiesunix

Job description As a Cloud Platform Developer specializing in Infrastructure as Code, you will: Design and automate deployable architectures for IBM Cloud resources using Infrastructure as Code (IaC) tools such as Terraform, Ansible, Go, HCL or similar technologies. Develop reusable automation modules and templates to enable consistent, scalable, and secure cloud deployments. Collaborate with architects and offering managers to translate solution designs into automated infrastructure blueprints. Ensure compliance and security by embedding best practices and governance policies into infrastructure code. Participate in design reviews and technical discussions , presenting infrastructure solutions and automation strategies to engineering and architecture teams. Own and drive infrastructure automation projects , adapting to varying scopes and timelines based on business needs. Write and maintain test cases (unit, integration, and functional) to validate infrastructure deployments and ensure reliability. Continuously improve deployment pipelines and contribute to the evolution of cloud platform engineering practices. Document deployable architectures and automation modules in a clear, concise, and user-friendly manner to help internal teams and consumers effectively adopt and integrate them. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in software development or engineering, with a strong foundation in data structures and algorithms . 2+ years of hands-on experience designing and developing cloud-native architectures and working with IBM Cloud or other major cloud platforms (AWS, Azure, GCP). Proven expertise in Infrastructure as Code (IaC) using tools such as Terraform , Ansible , or similar automation frameworks. 3+ years of experience in Golang or a related programming language, with a solid understanding of RESTful API design , microservices , and ORM concepts . Experience developing and maintaining REST APIs using Golang and/or Python . Strong understanding of containerization and orchestration technologies , with 2+ years of experience using Docker and Kubernetes . Proficiency in using version control systems , preferably Git . Demonstrated ability to troubleshoot, debug, and optimize infrastructure and application code. Excellent verbal and written communication skills , with the ability to document deployable architectures and automation modules clearly for internal and external consumption. Experience working in agile development environments , collaborating across cross-functional teams. Preferred technical and professional experience Experience with message queuing systems such as Kafka or RabbitMQ for building scalable, event-driven architectures. Familiarity with relational databases , preferably PostgreSQL , and caching solutions like Redis . Exposure to CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Tekton for automating build and deployment workflows. Hands-on experience with test automation frameworks to ensure infrastructure and application reliability. Proficiency in HTML, JavaScript , or other front-end technologies is a plus for working with UI-related infrastructure components. Strong background in Infrastructure as Code (IaC) using Terraform , Ansible , or similar tools. Experience deploying and managing applications in a cloud-native environment , with a focus on scalability, availability, and performance. Familiarity with cloud-native monitoring and alerting tools such as Prometheus , Grafana , or Elasticsearch for observability and operational insights. Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills algorithmsjavascriptmicroservicesdata structureshtml kubernetescontinuous integrationpythonsoftware developmentversion controlgolangr

Job description Your Role and Responsibilities Executing a variety of stress and functional tests throughout a defined test schedule to ensure a quality product for our mainframe customers including regression testing. Identifying existing manual test scenarios and workloads and design programmatic automation to replace them Working with firmware development to understand the technical details of new firmware features in order to design appropriate test scenarios and workloads to validate them Growing knowledge of physical server design and logical constructs behind its operation Hardware handling, maintenance, changes and manipulation Working with multiple Z mainframe operating systems to execute workloads that are used to verify the latest hardware and firmware deliveries Large amount of troubleshooting, investigation and problem resolution. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 3 - 5 years of experience executingvariety of stress and functional tests throughout a defined test schedule to ensure a quality product for our mainframe customers including regression testing andwriting test automation using languages such as Python, bash shell scripting, or something similar Solid understanding of the Windows and Linux operating systems and their command line operations, file systems, and operations Outstanding communication skills are key to working within Engineering System Test and with development teams around the world Strong team player with good communication (verbal/written) and interpersonal skills Ability and drive to dive into unknown hardware architectures and operating systems and grow new technical skills. Preferred technical and professional experience 2+ years of experience working with Z mainframe systems in some capacity Experience with one or more mainframe operating systems. Experience with practical applications of the mainframe Experience writing and executing test plans with the ability to ensure proper coverage based on customer requirements and workloads, and perform regression testing Hardware troubleshooting skills Knowledge of Agile practices Ability to handle testing and debugging tasks independently. Role: Head - Hardware Engineering Industry Type: IT Services & Consulting Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonfunctional testingmicrosoft windowslinuxshell scripting c++cregression testinghardware engineeringfirmware developmentspiembedded cuartdebuggingtroubleshootingagilei2chardware troubleshootingfirmwarebash shell

Job description At IBM, we are driven to shift our technology to an as-a-service model and to help our clients transform themselves to take full advantage of the cloud. With industry leadership in AI, analytics, security, commerce, and quantum computing and with unmatched hardware and software design and industrial research capabilities, no other company is as well positioned to address the full opportunity of enterprise cloud computing. We are looking for a backend developer to join our IBM Cloud VPC Observability team. This team is part of IBM Cloud VPC Service dedicated to ensuring that the IBM Cloud is at the forefront of reliable enterprise cloud technology. We are building Observability platforms to deliver performance, reliability and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. In this role, you will be responsible for producing and enhancing features that collect, transform, and surface data on the various components of our cloud. The ability to take in requirements on an agile basis and be able to work autonomously with high level perspective is a must. You understand cloud native concepts and have experience with highly tunable and scalable Kubernetes based cloud deployments. You will participate in the design of the service, writing tools and automation, building containers, developing tests, determining monitoring best practices and handling complex escalations. If you are the kind of person who is collaborative, able to handle responsibility and enjoys not only sharing a vision but getting your hands dirty to be sure that the vision is made a reality in a fast-paced, challenging environment, then we want to talk to you! Required education Bachelor's Degree Required technical and professional expertise Bachelor's in Engineering, Computer Science, or relevant experience 2+ years experience and expertise in programming atleast in one language Python/Go/Node.js 1+ years experience in developing and deploying applications on Kubernetes and containerization technologies like Docker 2+ years familiarity with working in a CICD environment 2+ years experience with developing and operating highly available, distributed applications in production environments on Kubernetes Experience with building automated tests, handling customer escalations, 1+ years experiencewith managing service dependencies via Terraform or Ansible At least 2 years of experience coding and troubleshooting applications written in Go, Python, Node.js, Express.js. 1+ years experience in operating with secure principles At least 3 years of experience with micro-service development At least 1 years' experience with no-sql database systems such as MongoDB At least 1 years' experience with operating, configuring, and developing with caching systems like redis Proven understanding of REST principles and architecture Familiarity with working with Cloud services (IBM Cloud, GCP, AWS, Azure) Preferred technical and professional experience Advanced Experience with Kubernetes Experience with development on PostgreSQL, Kafka, Elastic, MySQL, Redis, or MongoDB 2 years experience with managing Linux machines using Configuration management (eg, Chef, Puppet, Ansible). Debian experience is preferred 2+ years experience with ability to automate using scripting languages like Python, Shell Experience with troubleshooting, using and configuring Linux systems 2+ years experience with infrastructure automation 2+ years experience with using monitoring tooling like Grafana, Prometheus Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythongolangjavascriptnodeterraform kubernetesapplication troubleshootingmicrosoft azureservice developmentredisansibledockerpuppetnode.jspostgresqlgrafanagcpinfrastructurecontainer orchestrationmysqlprome

Job description As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers AWS S3 , Redshift , and EMR for data storage and distributed processing. AWS Lambda , AWS Step Functions , and AWS Glue to build serverless, event-driven data workflows and orchestrate ETL processes Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills data managementscalabig data technologiessqldata engineering hiveclouderaglueamazon redshiftpysparkemrsparkaws cloudaws emrhadoopbig dataetlhbasepythondynamo dbserverlessaws lambdanosqlaws gluedata brickskafkaaws

Job description Review and implement functional business requirements and non-functional technical requirements Translate business requirements into technical design documents and drive implementation with developers Research and analyze new technologies to be used (e.g., Libraries, IDE’s, tools) Develop high-level architecture and detailed design for application stack – backend Assist engineering and operational teams in debugging critical production problems Perform application code review, ensure creation and maintenance of appropriate artifacts for architecture and design work Develop back-end portions of web services. You will primarily focus on building backend REST API services. Work to implement server-side or application logic and design architectures. Create and talk to REST services. Shift between multiple projects and technologies. Write clean code and test it throughout the development process to ensure the quality is up to standards. Work on software that is used by millions of people all around the world is a challenge that you're willing to tackle. Perform peer reviews and mentor the team to evolve into backend developers. Encourage a self-motivated squad model of working from handling design, development, test and operations for the micro services. Required education Bachelor's Degree Required technical and professional expertise Kubernetes: Deep knowledge of Kubernetes architecture, pods, deployments, services, and persistent volumes. Storage Classes & Volumes: How Kubernetes manages persistent storage and snapshots. Networking Basics: Understanding Kubernetes networking Container Storage Interface (CSI): Familiarity with how storage plugins work in Kubernetes. CI/CD Pipelines: Integrating backup/restore into automation pipelines using Jenkins , GitHub action , travis etc. Scripting: Proficiency in Bash , Python , or Go for writing automation scripts. Disaster Recovery: Designing and implementing DR solutions for containerized environments. Data Replication: Understanding of synchronous and asynchronous replication techniques. Access Control: Implementing RBAC (Role-Based Access Control) in Kubernetes. Good to have: Compliance Knowledge: GDPR, HIPAA, or other data protection regulations relevant to backup data. Monitoring & Logging: Using tools like Prometheus , Grafana , ICD to monitor backup jobs and system health. Backup Tools: Experience with tools like Velero , Kasten K10 , Rsync , Restic , or Portworx for Kubernetes. Should have 5+ experience on Back end services development and Microservices Architecture. Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Go Lang, C, C++, Python etc., Proven experience in REST API development experience (APIs like REST / RESTful APIs). Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts Proven proficiency in grasping requirements and building illustrative features with minimal specifications Experience working in agile development environments. Preferred technical and professional experience Understanding of Networking concepts and experience in Network development. Understanding of cloud storage concepts and experience in cloud storage development. Knowledge of security and compliance standards & requirements Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills kubernetespythonbashbusiness architectureprocess definition continuous integrationhipaagolangwriting automation scriptci/cdicdmicros

Job description As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong and proven background in Information Technology & working knowledge of .NET Core, C#, REST API, LINQ, Entity Framework, XUnit. Troubleshooting issues related to code performance. Working knowledge of Angular 15 or later, Typescript, Jest Framework, HTML 5 and CSS 3 & MS SQL Databases, troubleshooting issues related to DB performance Good understanding of CQRS, mediator, repository pattern. Good understanding of CI/CD pipelines and SonarQube & messaging and reverse proxy Preferred technical and professional experience Good understanding of AuthN and AuthZ techniques like (windows, basic, JWT). Good understanding of GIT and it’s process like Pull request. Merge, pull, commit Methodology skills like AGILE, TDD, UML Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills continuous integrationcssinformation technologyhtmlpython cqrsscalaci/cdsqlgitsparkumltypescripthadoopbig datarestentity frameworksonarqubejestxunitdata engineeringsql serverazure cloudangularlinqtddtroubleshootingagile

Job description You will be responsible to: Test system firmware that runs on IBM Power Systems spanning entry level servers to enterprise level high end servers with feature rich Reliability, Availability, and Serviceability (RAS) features. Work with the OpenPOWER partners and OpenBMC community for Firmware test and support. Drive testing of firmware features to ensure high quality product Automate tests as part of the agile development process Interact with the development team to understand requirements and design Collaborate with other teams to define/understand requirements. Contribute in developing an environment of continuous improvement across product lines and development groups. Continuously Innovate to ensure better customer experience of firmware features Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 2 - 4 years of experience in firmware testing Working knowledge of computer systems architecture and operating systems concepts Hands-on development or testing on Linux platform and knowledge on Linux OS internals Enterprise level Functional or Systems Testing and STLC concepts Proven Experience in Automation frameworks Hands-on working experience with Python and other any scripting languages Proven Experience in Linux, Git and Gerrit Experience with working on open-source software using tools such as git Preferred technical and professional experience Exposure to Server domain and embedded systems Knowledge of IBM Power systems software/architecture Interest in low level Hardware Understanding of network and security testing Role: AR VR QA Tester Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythongerritstlcgitfirmware testing automation frameworksoftware testingpower systemautomation testingmanual testingselenium webdriverjavasecurity testingseleniumembedded systemslinuxagiletestngfirmwareapi testing

Job description Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 5+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions. Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills data architecturebig datainformation managementcloud platformsdata governance schemat-sqlansibledockersqljavagitdevopslinuxjenkinsj2eeshell scriptingmysqletlpythondata analyticsdatastagemicrosoft azurewarehouseolapaws