188 Ibm Cloud Jobs

As a Software Developer you will work with a strong focus on SaaS Infrastructure design and architecture, specializing in building scalable, automated solutions to streamline deployment, infrastructure management, and system reliability. Proficient in cloud platforms, IaC tools like Terraform and Ansible, CI/CD, and container orchestration. Adept at bridging development and operations to accelerate delivery and improve system performance. Support deployment strategies for applications running on multiple hyperscalers, and Kubernetes clusters. Ensure System Reliability and MonitoringImplement monitoring, logging, and alerting solutions improving system uptime, observability, and incident response readiness. Collaborate Across TeamsWork closely with developers, architects, and operations teams to align infrastructure with business and technical needs, Maintain Security and Compliance StandardsApply IBM’s security best practices for infrastructure and DevOps processes. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise A minimum of 8+ years of experience in software development A minimum of 6+ years of experience ineither Golang, Python and API Development Experience with SQL Databases (Db2, Oracle, SQL Server, PostgreSQL, MySQL, etc) Experience with software development best practices including coding standards, code reviews, source control management, build processes, and testing Demonstrated communication, teamwork, and problem-solving skills Experience with cloud-based technologies, showcasing familiarity with modern cloud ecosystems and tools AWS /AZURE/ IBM Cloud Previous experience on infrastructure as code using Terraform and Ansible. Process Automation using Bash/Python scripting for elimination manual tasks. CI/CD Pipeline & Release Management Improvements / Automation Strong Linux ProficiencyStrong knowledge of Linux operating systems & security processes. KubernetesStrongly preferred experience in working with production Kubernetes environments Preferred technical and professional experience Knowledge of and/or experience in SaaS operations and management. Knowledge of and/or experience with optimization of SaaS deployments , security. Knowledge serverless and stateless computing services like Lambda or Code Engine. Experience using Linux operating systems Security domain expertise Knowledge of version control systems such as GitHub Demonstrated analytical and problem solving skills Familiarity with distributed filesystems and data storage techniques

During your internship, you’ll work closely with Software Product experts on real projects in areas like Machine Learning to Generative AI , Automation, Data & AI, Security and Sustainability. You won’t just shadow—you’ll be building, testing, and improving software that matters. Collaborate with diverse teams, gaining communication and teamwork skills valued in any career. Required education Bachelor's Degree Required technical and professional expertise We value curiosity, problem-solving, and eagerness to learn. You don’t need to know everything yet—we’ll teach you. But we’d love to see some of these in your toolkit: Programming experience in Go, Java, Python, or scripting languages. Exposure to Frontend tools (React, Redux, AngularJS, JavaScript, HTML, CSS). Interest in backend development with Python, Java, or Go. Basic familiarity with test tools (e.g., Jest, Cypress, Codecept). Basic familiarity with test automation using Ansible, Python. Understanding of APIs (building, testing, and automating). Experience using GitHub or other source code control systems. Currently pursuing a Bachelor’s degree in Computer Science or equivalent Preferred technical and professional experience If you’ve dabbled in these, great—if not, don't worry. You’ll have a chance to learn here: Cloud platforms (IBM Cloud, AWS, Azure, GCP). DevOps tools and practices. Kubernetes, Docker, or OpenShift. Linux systems. Awareness of automation frameworks, data science concepts, or cloud architecture.

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

As an SAP Consultant, you will serve as a client-facing practitioner responsible for selling, leading, and implementing expert services using the breadth of IBM's offerings and technologies. A successful SAP Consultant is considered by clients as a trusted business advisor who collaborates to provide innovative solutions for solving the most challenging business problems. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include Strategic SAP Solution Leadership:Leading the technical design and implementation of SAP solutions for simplicity, amplification, and maintainability. Comprehensive Solution Delivery:Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies such as S4Hana and FICO. Collaborative Global Customer SuccessPartnering with a cross-functional global team to ensure customer success in an agile environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 5-12 years of experience in SAP CI/PO in SAP integration domain. Extensive hands-on experience in at least 5 end to end implementation (Both A2A and B2B scenarios) in SAP CPI Hands-on experience in SAP Cloud Platform Integration (CPI) Analyzes, designs, develops and tests process flows in support of multiple business projects using integration technologies Designs, develops, tests, troubleshoots and completes maintenance of integration components for applications and systems Preferred technical and professional experience Familiarity with Cloud Computing PlaHands-on experience in SAP Cloud Platform Integration (CPI) Analyzes, designs, develops and tests process flows in support of multiple business projects using integration technologies Designs, develops, tests, troubleshoots and completes maintenance of integration components for applications and systemstformsIncluding IBM Cloud, AWS, Microsoft Azure, and GCP. Knowledge of Agile methodologiesHands on experience with project management methodologies like Agile.

Develop in depth functionality and stability automatic tests that will map customer use cases Research the right set of workloads and benchmarks Develop automated test scenarios and environments for End2End automatic evaluation Collect test evidence measurements to ensure system functionality, stability and scalability Designing and implementing automation tools and frameworks for continuous integration, delivery and deployment Monitoring and managing infrastructure, ensuring optimal performance, security, and scalability Troubleshooting and resolving issues related to application development, deployment, and operations Ensuring compliance with industry best practices and organizational policies Continuously improving processes and tools to enhance efficiency and productivity Required education Bachelor's Degree Required technical and professional expertise Skilled in testing tools, frameworks, API development Experience with test automation, debugging, and analytical skills Hands-on with programming languages such as Python, PHY test framework Good understanding of Cloud services. Development and deployment methodologies in cloud Hands on Kubernetes, DevOps, Jenkins integration, Build CI/CD test pipelines, container orchestration, artifactory/registries Working knowledge of Agile scrum, sprint, kanban, Jira boards Github repo management skills as, merge, rebase, branching, forking and submodules Work closely with development teams to identify and resolve issues Collaborating with development and operations teams to identify and address bottlenecks in the software development lifecycle Strong leadership and communication skills Preferred technical and professional experience IBM Cloud especially VPC , CI/CD , Quality and automation Experience in leveraging/development/test of various cloud services Experience of working with a broad spectrum of technology solutions including Cloud, Data and AI

We are looking for Frontend, Full Stack and QA/Test Automation Graduate hires with excellent analytical and problem-solving skills, who are eager to learn a wide range of IBM and open-source packages with a particular bias on Automation and Process Mining technologies. You will be a self-starter, requiring limited supervision or guidance, with good communication skills and the ability to multi-task and prioritize your work. This is a high-profile project at the core of IBM's new strategy surrounding Automation and working with our wide range of stakeholders will be critical to ensure we meet the high standards expected. Your responsibilities will include: Understanding user needs, and exploring user-centred designs Specifying, building, testing, deploying, maintaining, and supporting your code Your responsibilities will include: Understanding user needs, and exploring user-centred designs Specifying, building, testing, deploying, maintaining, and supporting your code Leveraging modern tools and techniques to develop clean, efficient, and reusable code Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise A solid base of programming languages is required. Languages and technologies include Go, Java, Python or other scripting languages are useful. Skills with React, Redux, Node.JS, JavaScript, AngularJS, HTML, CSS Knowledge on building API driven interfaces Experience working with GitHub as source code control. Bachelor’s degree in Computer Science or equivalent Preferred technical and professional experience Knowledge on any cloud services, including IBM Cloud, AWS, Azure and GCP DevOps experience Knowledge on Kubernetes, Docker, Red Hat OpenShift Experience with Linux systems Master’s degree in Computer Science or equivalent

Advanced Programming Skills in Python,Scala,GoStrong expertise in developing and maintaining microservices in Go (or other similar languages), with the ability to lead and mentor others in this area. Extensive exposure in developing Big Data Applications ,Data Engineering ,ETL and Data Analytics . Cloud ExpertiseIn-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of deploying and managing cloud-native applications. Leadership and CollaborationAbility to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. Security and ComplianceStrong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements. Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment. Required education Bachelor's Degree Required technical and professional expertise 4-7 years' experience primarily in using Apache Spark, Kafka and SQL preferably in Data Engineering projects with a strong TDD approach. Advanced Programming Skills in languages like Python ,Java , Scala with proficiency in SQL Extensive exposure in developing Big Data Applications, Data Engineering, ETL ETL tools and Data Analytics. Exposure in Data Modelling, Data Quality and Data Governance. Extensive exposure in Creating and maintaining Data pipelines - workflows to move data from various sources into data warehouses or data lakes. Cloud ExpertiseIn-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of developing, deploying and managing cloud-native applications. Good to have Front-End Development experienceReact, Carbon, and Node for managing and improving user-facing portals. Leadership and CollaborationAbility to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. Security and ComplianceStrong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements. Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment. Preferred technical and professional experience Hands on experience with Data Analysis & Querying using SQLs and considerable exposure to ETL processes. Expertise in developing Cloud applications with High Volume Data processing. Worked on building scalable Microservices components using various API development frameworks.

Design, develop, and maintain scalable ETL pipelines using IBM DataStage / InfoSphere . Build robust data integration solutions from multiple data sources including DB2, flat files, and APIs. Write complex SQL queries for data transformation, validation, and performance tuning in DB2 . Collaborate with data architects, business analysts, and other engineers to deliver data-driven solutions. Ensure data quality , consistency, and lineage across systems using metadata and governance tools. Analyze and troubleshoot issues in existing data processes and propose performance improvements. Maintain technical documentation, ETL design artifacts, and operational runbooks. Role & responsibilities Preferred candidate profile

As an Dev Automation Specialist II your role will be Software Developer able to design and implement high-quality scalable cloud software solutions. You must be able to collaborate with stakeholders, help define technical requirements, and take architectural guidance from software architects to help development teams to deliver high-quality products aligned with business goals. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Programming Proficiency: Strong experience with modern programming languages and frameworks (e.g. React, Node.js, Typescript, Java). Cloud Technologies: Deep knowledge of cloud platforms, especially IBM Cloud. Microservices Architecture: Proficiency in building an managing micro-services. Database Management: Familiarity with major DB vendor technology especially IBM DB2. DevOps Practices: Understanding of CI/CD pipelines and containerization tools. Leadership and Collaboration: Ability to lead teams and effectively communicate technical concepts to non-technical stakeholders. Problem Solving: Strong analytical and decision making-skills to address complex software challenges. Agile Methodologies: Experience working withing Agile scrum teams. Preferred technical and professional experience Problem Solving: Strong analytical and decision making-skills to address complex software challenges. Agile Methodologies: Experience working withing Agile scrum teams.

Bachelor's degree in Computer Science, Information Security, or a related field. 4+ years of experience in software development, with at least 3+ years specifically focused on application security or a security-centric development role. Strong proficiency in at least one major programming language Java J2EE preferred. In-depth understanding of web application security vulnerabilities and mitigation techniques. Experience with secure coding principles and practices. Familiarity with various security testing tools (SAST, DAST, SCA, penetration testing tools). Understanding of cryptographic principles and their appropriate application. Experience with cloud platforms (e.g., IBM Cloud, AWS, Azure, GCP) and cloud security best practices (e.g., IAM, network security, data encryption in cloud environments). Experience in a multi-tenant SaaS environment. Solid understanding of authentication and authorization mechanisms (e.g., OAuth, OpenID Connect, SAML, RBAC). Experience with Agile development methodologies. Excellent problem-solving skills and a proactive approach to identifying and addressing security risks. Required education Bachelor's Degree Required technical and professional expertise Bachelor's degree in Computer Science, Information Security, or a related field. 4+ years of experience in software development, with at least 3+ years specifically focused on application security or a security-centric development role. Strong proficiency in at least one major programming language Java J2EE preferred. In-depth understanding of web application security vulnerabilities and mitigation techniques. Experience with secure coding principles and practices. Familiarity with various security testing tools (SAST, DAST, SCA, penetration testing tools). Understanding of cryptographic principles and their appropriate application. Experience with cloud platforms (e.g., IBM Cloud, AWS, Azure, GCP) and cloud security best practices (e.g., IAM, network security, data encryption in cloud environments). Experience in a multi-tenant SaaS environment. Solid understanding of authentication and authorization mechanisms (e.g., OAuth, OpenID Connect, SAML, RBAC). Experience with Agile development methodologies. Excellent problem-solving skills and a proactive approach to identifying and addressing security risks. Preferred technical and professional experience Degree in Computer Science, , Engineering, or equivalent professional experience. An authority on Cloud Native Application architecture, Docker's and Microservices Working experience on Docker/Kubernetes, the DevOps, Micro services, RedHat OpenShift, Java J2EE Willing to lead and work on quick proof of concepts.

Responsibilities: Hands-on development using .NET technologies. Practice DevOps ensuring a culture of testing and releasing software on Azure continuously using automation and monitor

Work in an Agile, collaborative environment to understand requirements, design, code, and test web-based applications, and support those applications for our highly valued customers. Employ IBM's Design Thinking to create products that provide an optimal user experience along with high performance, security, quality, and stability. Document general processes and practices as needed Team collaboration to maintain end-to-end ownership and delivery code sources owned by the MultiCloud Software Platform UI Squad. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Deep understanding and demonstrable application of Agile best practices. Demonstrable hands-on expertise in cloud technologies. Knowledge of object-oriented design and design patterns applicable to modern software development. Ability to perform customer-facing activities in a fast-paced environment with short timeframes, verbal and communication skills, ability to debug complex problems, and knowledge of debugging tools and cloud environments. 9+ years of demonstrated experience developing enterprise-level software as well as providing testing and support to software applications. Proficiency in REST APIs and JSON data. Proficiency with TypeScript, JavaScript, and front-end frameworks (e.g., React, Angular, etc.). Experience building responsive and reusable UI/UX components. Experience building micro-frontend web applications. Strong knowledge of web standards, including HTML, CSS/SASS, and accessibility. Team-mindsetWillingness to collaborate and iterate. Growth-mindsetWillingness to learn new technologies and processes. Preferred technical and professional experience Experience building GraphQL APIs to interact with web services. Experience working with Docker, Kubernetes, and OpenShift. Experience developing in hyperscalers (e.g., IBM Cloud, AWS, Azure, Google Cloud). Experience in architecting, deploying, and/or operating solutions built on hyperscalers (e.g., IBM Cloud, AWS, Azure, Google Cloud). Experience with React, Node JS programming language, and understanding of user experience and accessibility practices. Experience with distributed source control systems such as Git. Experience with test-driven development and frameworks.

Serve as a primary technical contact for advanced customer support cases on IBM Power Systems. Troubleshoot and resolve complex issues related to hardware, virtualization (PowerVM), operating systems (AIX/Linux), and system firmware. Provide advanced troubleshooting and root cause analysis for IBM Power Systems hardware and firmware issues. Analyze system dumps, traces, and logs to diagnose and isolate root causes of system failures or performance issues. Collaborate closely with L2, Product development and QA teams to drive timely resolution of critical issues and implement long-term fixes or design changes. Reproduce and debug customer-reported issues in lab environments using diagnostic tools and logs. Document and communicate technical solutions, including the creation of knowledge base articles. Contribute to product quality and supportability through code reviews, design feedback, and validation of hot patches , interim fixes or new features. Interface directly with enterprise clients, maintaining a high level of professionalism and technical depth to build trust and ensure satisfaction. Participate in on-call rotations for high-priority customer incidents and provide mentorship to junior engineers. Contribute to training sessions or technical workshops Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. 4+ years of experience in enterprise technical support, systems engineering, or a related role, preferably with Power Systems. Strong experience with AIX, Linux on Power (RHEL/SLES), and system diagnostics tools. Solid understanding of virtualization (PowerVM), storage subsystems, and networking in a Power environment. Python /Linux /Cloud Exp (AWS, Openstack), REST API , Basic Ansible Proven ability to manage customer escalations and communicate complex technical solutions clearly. Experience with debugging tools, scripting (Python, Bash), and log analysis. Familiarity with Agile methodologies, Salesforce and defect tracking tools. Preferred technical and professional experience In-depth knowledge of IBM Power architecture (POWER9, POWER10), HMC, VIOS, and firmware stack. IBM Certified Advanced Technical Expert – Power Systems. Experience working directly with IBM Development and Lab Services teams. Exposure to cloud environments such as IBM Cloud or hybrid Power solutions. Contributions to open source or technical publications in the Power ecosystem.

As an SAP Consultant, you will serve as a client-facing practitioner responsible for selling, leading, and implementing expert services using the breadth of IBM's offerings and technologies. A successful SAP Consultant is considered by clients as a trusted business advisor who collaborates to provide innovative solutions for solving the most challenging business problems. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include Strategic SAP Solution Leadership:Leading the technical design and implementation of SAP solutions for simplicity, amplification, and maintainability. Comprehensive Solution Delivery:Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies such as S4Hana and FICO. Collaborative Global Customer SuccessPartnering with a cross-functional global team to ensure customer success in an agile environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 8-12 years of experience in SAP CI/PO in SAP integration domain. Extensive hands-on experience in at least 5 end to end implementation (Both A2A and B2B scenarios) in SAP CPI Hands-on experience in SAP Cloud Platform Integration (CPI) Analyzes, designs, develops and tests process flows in support of multiple business projects using integration technologies Designs, develops, tests, troubleshoots and completes maintenance of integration components for applications and systems Preferred technical and professional experience Familiarity with Cloud Computing PlaHands-on experience in SAP Cloud Platform Integration (CPI) Analyzes, designs, develops and tests process flows in support of multiple business projects using integration technologies Designs, develops, tests, troubleshoots and completes maintenance of integration components for applications and systemstformsIncluding IBM Cloud, AWS, Microsoft Azure, and GCP. Knowledge of Agile methodologiesHands on experience with project management methodologies like Agile.

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

As a Platform Engineer within IBM Client Engineering, you will play a key role in delivering unique client co-creation experiences to accelerate their digital transformation. You will be involved in all aspects of integrated solutions, from identifying requirements to making technical decisions that impact the business case. As a Platform Engineer, you will work as an integral part of cross-functional teams to realize the full potential of our hybrid cloud and AI solutions providing business value to our clients. We are committed to your success. If this role aligns with your career. Your typical day as a Platform Engineer may look like: Leverage contemporary hybrid cloud skills (e.g., AI, analytics, DevOps, DevSecOps, IaC, automation, security, networking, and storage) with deep industry expertise and an understanding of your clients’ businesses. Define and communicate the unique value of IBM’s technology, both technically and commercially. Participate in client sessions that include a range of public and hybrid cloud technologies, such as Red Hat OpenShift, IBM Cloud Paks, and Kubernetes. Support the solutions architecture plan and be a hands-on "builder" during client-facing engagements. Advice on solution architecture to align with platform best practices, with a focus on our clients target environment to ease transition to deployment. Work with deployment teams to transition platform assets and information to provide seamless transitions for our clients. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Hands-on experience with a wide range of cloud and AI technologies. Practical knowledge and direct experience with virtualized on-premise and cloud-based computing platforms. Experience in building application and infrastructure deployment automation workflows. Proven track record in participating in customer-facing technical solutions teams across various cloud architectures. Technical experience in a cloud-related domain such as Data/Analytics, Data Science, Security, or other cloud-native, hybrid, or public-cloud technology. Understanding and practical application of Agile best practices. Proficient in at least one common cloud native programming language (Java, Python, HCL, Rust, Ansible, etc.) Preferred technical and professional experience At least 1 year in a technical operations role, such as site reliability or platform engineering, in hybrid-cloud and on-premise environments. Experience in deploying and operating solutions on AWS, Azure, IBM Cloud, or Google Cloud. Experience as a Solution Architect or in a public cloud consultant role. Experience in developing collaborative client relationships at all levels within organizations. Knowledge of Well-Architected Frameworks from AWS, Azure, IBM Cloud, or Google Cloud. Relevant technical certifications (e.g., CNCF, AWS, IBM Cloud, Azure, Google Cloud, DevOps). Experience working in dynamic team environments and cross-functionally with teams such as Product Management, Engineering, and Customer Success.

Infrastructure & Cloud Management: Design, build, and manage scalable cloud infrastructure using IBM Cloud, AWS, GCP, Azure. Implement Infrastructure as Code using Terraform. Deploy and configure applications using container orchestration platforms like Kubernetes/OpenShift. Automation & CI/CD: Develop and maintain automation scripts and tools using Python, Groovy, and Ansible. Build and manage robust CI/CD pipelines using tools like Jenkins, IBM Continuous Delivery, and ArgoCD. System Monitoring & Reliability: Monitor health and performance of production systems (24x7 observability). Use tools like Instana, Grafana/Prometheus, and New Relic to build alerts and dashboards. Troubleshoot and resolve production issues in collaboration with engineering and support teams. Security & Compliance: Perform regular patching, upgrade, and collaborate with product support to resolve issues. Database & Middleware: Manage open-source middleware and databases such as PostgreSQL, CouchDB, Redis, Kafka, and Spark. Participate in incident response and on-call rotations. Required education Bachelor's Degree Required technical and professional expertise Required Qualifications: 4+ years of experience as a DevOps or SRE Engineer. Experience with at least one major public cloud provider or large scale private/hybrid cloud using container orchestration. Experience with a modern configuration management and/or infrastructure management framework (Ansible, Puppet, Chef, Terraform, etc.). Production experience with one or more monitoring frameworks (Prometheus, Nagios, etc.) Strong scripting skills in at least one language (BASH, Python, Ruby, etc.) Experience with source control management such (git, subversion, etc.) Familiarity with Kubernetes or OpenShift platforms. Good understanding of CI/CD processes and tools (e.g., Jenkins) & networking. Solid grasp of monitoring, observability, and troubleshooting production environments. Hands-on experience with Linux & Windows systems administration. Excellent collaboration, communication, and problem-solving skills. Preferred technical and professional experience Required Qualifications: 4+ years of experience as a DevOps or SRE Engineer. Experience with at least one major public cloud provider or large scale private/hybrid cloud using container orchestration. Experience with a modern configuration management and/or infrastructure management framework (Ansible, Puppet, Chef, Terraform, etc.). Production experience with one or more monitoring frameworks (Prometheus, Nagios, etc.) Strong scripting skills in at least one language (BASH, Python, Ruby, etc.) Experience with source control management such (git, subversion, etc.) Familiarity with Kubernetes or OpenShift platforms. Good understanding of CI/CD processes and tools (e.g., Jenkins) & networking. Solid grasp of monitoring, observability, and troubleshooting production environments. Hands-on experience with Linux & Windows systems administration. Excellent collaboration, communication, and problem-solving skills.

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 10–12 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

As a Software Developer, you will be responsible for designing, developing, and deploying software solutions for application modernization using Generative AI technologies. This role requires a strong technical foundation, expertise in cloud-based AI/ML solutions, and an ability to optimize software performance through modern architectures. Key Responsibilities: Develop and deploy modernized applications utilizing Generative AI technologies. Write efficient, scalable, and maintainable code using Python and JavaScript (Node.js, TypeScript); experience with FastAPI is a plus. Leverage IBM Cloud services and AI/ML technologies, particularly watsonx, for intelligent application development. Work with developer tools such as GitHub, VSCode, and CI/CD pipelines to streamline development. Design, optimize, and maintain relational and NoSQL databases like Db2, PostgreSQL, and MongoDB. Develop and manage containerized applications using Docker, Kubernetes, and OpenShift. Implement microservices and serverless architectures for scalable solutions. Solve complex software challenges with strong analytical and problem-solving skills. Collaborate with cross-functional teams for AI-driven application integration and deployment. Required education Bachelor's Degree Required technical and professional expertise 5+ years of software development experience with a strong foundation in coding, debugging, and optimization. Proficiency in Python and JavaScript (Node.js, TypeScript) frameworks; FastAPI experience is advantageous. Expertise in IBM Cloud services and AI/ML technologies, especially watsonx. Hands-on experience with DevOps tools, including GitHub, VSCode, and CI/CD automation. Strong understanding of database technologies such as Db2, PostgreSQL, and MongoDB. Extensive experience in containerization, using Docker, Kubernetes, and OpenShift. Solid knowledge of microservices and serverless architectures. Excellent problem-solving and analytical skills, with a strategic approach to software development. Preferred technical and professional experience Familiarity with FastAPI for building lightweight and efficient applications. Strong knowledge of security best practices for cloud-based AI applications. Experience in high-performance computing and data processing pipelines. Understanding of AI-driven automation and optimization techniques. Ability to troubleshoot and optimize large-scale distributed systems.

Primary responsibilities include but not limited to: Becoming an expert and major contributor for designs and implementation efforts of the IBM Cloud Platform Services ecosystem Developing highly-available, distributed cloud services, with emphasis on security, scalability and user experience using technologies like Java, Node.js, Golang, Cloudant, Redis, Docker, Kubernetes, Istio and more. Reading open specifications and RFC documents and converting them to design docs and implementation Identifying opportunities and acting on improving existing tools, frameworks and workflows Documenting and sharing your experience with team members, mentoring others Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise A minimum of a bachelor degree in Computer Science, Software Engineering or equivalent At least 5 years of hands-on development experience building applications with one or more of the followingJava, Node.js, Golang, NoSQL DB, Redis, distributed caches, containers etc. At least 5 years of experience building and operating highly secured, distributed cloud services with one or more of the followingIBM Cloud, AWS, Azure, Docker, container orchestration, performance testing, DevOps etc. At least 1 years of experience in web technologiesHTTP, REST, JSON, HTML, JavaScript etc. Solid understanding of the micro-service architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred technical and professional experience Masters degree in Computer Science, Software Engineering or equivalent Experience in remotely supporting customer engagements to help driving the adoption Experience as technical lead managing team of engineers in driving development of highly scalable distributed system

- Lead the design, development, and implementation of AI Agents and corresponding multi-agent patterns and integration of Agentic AI into existing UIs and products. - Operate genAI software and Agentic AI on IBM Cloud, automating tools and processes on IBM mainframes - Stay up-to-date with the latest technologies and trends, implementing creative solutions to drive business value - Collaborate with cross-functional teams to develop and implement innovative products - Provide direction, coaching, and mentoring to increase team capabilities - Ensure effective communication and integration planning for swift issue resolution - Deliver against established goals and objectives Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise - 10+ years of industry experience - 3-5 years of experience as a genAI software engineer in a distributed or mainframe environment - 3-5 years of experience managing, guiding, and mentoring a team of engineers - 3-5 years proven experience in IBMs product development organization as lead development engineer - Proficiency in Python, Java, git and github - Proficiency and proven (code) experience with LLMs from IBM (Granite) and at least one other vendor (Facebook, OpenAI, Anthropic) - Experience building genAI software - Experience building agenticAI software with Lang graph, crew.ai or ibm bee, langfuse, MCP - Experience with watsonx.orchestrate - Experience with devops and ci/ci practices - Demonstrated track record of success as a development Lead Engineer - Collaborative mindset with excellent communication skills - Ability to partner seamlessly with cross-functional teams for shared success - Strong leadership and mentoring skills Preferred technical and professional experience - Knowledge of Kubernetes/OpenShift environments - Experience with public clouds (AWS, Azure, IBM Cloud) - Configuration-as-Code development (Ansible) - Infrastructure-as-Code development (Terraform) - Exposure to Mainframe Development Practices

Direct Responsibilities Maintain the Division/Department architecture reference documentation all along the changes brought by projects: IT system diagrams (Division level, or per sub-block) Application referential (with the help of Application Owners) Division level principles and related non-conformities and remediation plans Obsolescence KPIs Lead the Cloud solution architecture on the projects they are assigned to: Supporting the Project Manager/Business Analysts during solution ideation, design, and implementation Collaborating with application teams and Business Analysts/Tech leads of impacted applications to design the solution Ensuring the alignment of projects with our architecture principles and IT standards Ensuring the solution is optimized for running on our IBM Private Cloud Support project managers and tech leads along the architecture validation process by: Leading the build of a consistent architecture documentation Presenting their projects in architecture validation committee Being the reference point on a set of applications for support/evolution activities Supporting the architecture process till the go-live Bringing Cloud and architecture awareness to application teams Being the reference architect on a set of applications for support/evolution activities (having low architecture impacts), before and after they are migrated into the Cloud platform. Collaborate with following roles: Project managers/Business analyst of major transversal projects they are assigned to Tech leads/Developers, to understand the architecture of the applications/screens and analyze potential issues Application owner, to update the referential information on applications Engineering and Production team, to check the availability/compatibility with infrastructure/Cloud services Enterprise Architects, to facilitate the review and validation process. Ensure the reference documentation is updated all along the changes brought by projects: Application referential IT architecture diagrams and documents Application non-conformities and remediation plans Architecture principles, checklist, guidelines Contributing Responsibilities Provide and share specific expertise on our Cloud capabilities and in selected technical areas Participate to studies and proof-of-concepts with the business before a project is launched Technical & Behavioral Competencies Mandatory Experience on designing and developing Cloud-native solutions Experience on Cloud migration, integration patterns, high availability patterns, etc. (e.g. REST APIs, Container platforms, Event-driven architecture, etc) Broad technical knowledge and experience across application, development frameworks and technologies Experience with Java/Spring/Angular, Oracle/PostgreSQL DB, Linux, API, Kafka etc. Functional/Business knowledge (of their current/past companies), ideally on core banking or portfolio management systems. Interest in Financial & Banking industry Experience working on a project or in an architecture team covering a large ecosystem of applications (30+) Experience in modeling activities (application maps, software design models, data modeling, infrastructure diagrams, etc.) Strong analysis skills with problem solving attitude Ability to communicate effectively in written documents and oral presentations, explaining concepts clearly to audiences at various levels of technical knowledge Effective leadership, planning and organization skills Plus Experience of Enterprise Architecture discipline, processes, concepts, and best practices Experience in Wealth Management, or Financial and Banking Industry Knowledge of a Wealth Management Core Banking System such as Temenos Transact, ERI Olympic or Avaloq SCRUM/Agile experience Experience running Request for Proposal and assessing solutions Specific Qualifications (if required) Bachelors Degree in Computer Science or Engineering 3+ years of experience architecting or developing solutions in a Cloud environment 5+ years of experience in IT either as an Enterprise Architect or Solution Architect Architecture certification (TOGAF) or Cloud Architect certification (AWS, IBM Cloud) Skills Referential Behavioural Skills: (Please select up to 4 skills) Ability to collaborate Teamwork Ability to deliver Results driven Attention to detail rigor Communication skills - oral & written Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to understand, explain and support change Ability to manage a project Ability to manage facilitate a meeting, seminar, committee, training Ability to develop and leverage networks Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) IBM Cloud certification from BNPP (101 and Bronze) Other Cloud Architect certification (AWS, Azure, Google) Architecture certification (TOGAF) Skills: Amazon CloudFront Angular Google Cloud Platform IBM Cloud RESTful (Rest-APIs) Spring

Your Role Install, configure, and maintain IBM MQ on distributed platforms (Windows, Linux, UNIX). Monitor MQ performance and availability; troubleshoot messaging issues. Manage MQ objects such as queue managers, queues, channels, and listeners. Implement and maintain security protocols for MQ environments. Perform upgrades, patches, and migrations of MQ infrastructure. Collaborate with development and support teams to optimize message flows. Develop and maintain documentation for MQ configurations and procedures. Ensure compliance with organizational policies and industry best practices. Participate in disaster recovery planning and execution. Provide on-call support and respond to critical incidents. Your Profile Strong experience with IBM MQ installation, configuration, and administration. Proficiency in scripting (Shell, Python, etc.) for automation and monitoring. Familiarity with messaging protocols (TCP/IP, HTTP/S). Understanding of SSL/TLS and other security mechanisms. Experience with cloud platforms (IBM Cloud, AWS, Azure) is a plus. Knowledge of integration tools like IBM Integration Bus (IIB) or App Connect Enterprise (ACE). Excellent problem-solving and communication skills. What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

As a Software Developer – Automation you will work with a strong focus on Infrastructure and DevOps, specializing in building scalable, automated solutions to streamline deployment pipelines, infrastructure management, and system reliability. Proficient in cloud platforms, IaC tools like Terraform and Ansible, CI/CD, and container orchestration. Adept at bridging development and operations to accelerate delivery and improve system performance. Support deployment strategies for applications running on IBM Cloud, and Kubernetes clusters. Ensure System Reliability and MonitoringImplement monitoring, logging, and alerting solutions improving system uptime, observability, and incident response readiness. Collaborate Across TeamsWork closely with developers, architects, and operations teams to align infrastructure with business and technical needs, following Agile and DevSecOps Maintain Security and Compliance StandardsApply IBM’s security best practices for infrastructure and DevOps processes, Drive DevOps Best PracticesChampion DevOps culture by continuously improving processes, tools, and workflows to enhance scalability, speed, and quality across delivery teams. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Previous experience on infrastructure as code using Terraform and Ansible. Process Automation using Bash/Python scripting for elimination manual tasks. CI/CD Pipeline & Release Management Improvements / Automation Strong Linux ProficiencyStrong knowledge of Linux operating systems & security processes. Strong IBM Cloud Skills IBM Cloud VPC, Classic, Multi-zone deployments and IBM Cloud logs. KubernetesStrongly preferred experience in working with production Kubernetes environments Preferred technical and professional experience Experience with AI Ops Projects improving product health , security and Overall performance. Experience with IBM AI Ops solutions.