188 Ibm Cloud Jobs - Page 8

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.

Your Role and Responsibilities 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 IBMs 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 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.

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.

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.

This is a role for a Senior Product Architect for IBM Concert, responsible for leading the product engineering team in designing scalable, secure, and resilient solutions. Drive architectural strategy, technical excellence, and innovation across the Concert product organisation. Architectural Leadership: Work collaboratively within a team responsible for shaping the architecture and technical trajectory of our software networking and edge computing portfolio. Write product requirements for new integrations, enhance existing integrations, and identify ecosystem products to interact with. Serve as an end-to-end SMEDemonstrates skills/expertise across all functional/non-functional aspects. Gain insights into customer adoption of product capabilities and rise above the silos of being client side, server side or module specific knowledge. Be the agent of change/innovationChallenge the status quo and provide though leadership and operational drive. Real-world Product Building: Leverage practical experience in building products to contribute valuable insights to the software engineering practices within the team. Contribute to the core development/deliveryBe thorough with the technology domain and associated programming languages/frameworks/patterns and tool. Own coding/testing of some of the key/complex modules/components Domain Expertise: Possess a deep understanding of software networking and edge computing, utilizing this knowledge to develop informed opinions that play a pivotal role in shaping product direction and strategy. Conduct market research and analysis to identify market trends. Provide expert inputs/insightsOn product architecture, design decisions, and technology choices. Effectively collaborate with the stakeholders like Product/Offering Management, Sales and Mktg, Support. Collaboration and Adaptability: Collaborate seamlessly with diverse teams and contribute to other IBM product initiatives. A crucial aspect is the ability to extend expertise beyond your domain to promote a holistic understanding of interconnected domains. Enable tech sales and support teams by building specialized demos, assisting with RFIs, fielding scanner-specific questions Engage prospects, customers, and internal stakeholders for discovery sessions and roadmap reviews Flexible Mindset: Demonstrate flexibility in mindset to navigate and resolve points of intersection with other system components. Adaptability is key to finding mutually beneficial solutions. Effective Communication: Utilize strong communication skills to articulate complex technical concepts, fostering collaboration and understanding across interdisciplinary teams. Provide regular updates to the leadership team on product development progress and market signals Drive eminence and respectBe an active evangelist and thought leader inside and outside the organization. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 15+ years of experience in building and architecting enterprise-grade software products, preferably in the automation, observability, or risk & resilience domain. Deep domain expertise in Application Risk and Resilience Expertise in Go and Python application development, with exposure to additional languages and development/test environments. Solid understanding of modern application architecture including microservices, containers (Docker), orchestration (Kubernetes), and RESTful APIs. Proficiency in cloud-native development, with mastery of IBM Cloud and AWS platforms. Strong command of software architecture patterns, design principles, and best practices. Development experience with PostgreSQL and cloud-native databases. Proven technical leadership experience in driving design and architectural decisions within cross-functional agile teams. Hands-on experience with DevOps/DevSecOps practices, CI/CD pipelines, and GitOps workflows. Excellent problem-solving and debugging skills to resolve complex technical issues effectively. Preferred technical and professional experience Brings a solid background in Automation and Cloud technologies . Demonstrates a growth mindset , is open to feedback, and continuously seeks to learn and evolve. Approaches challenges with ownership and resilience , focusing on solutions rather than assigning blame. Can effectively balance people, product, and process goals , with a collaborative and open-minded leadership style—critical for success in this role.

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.

Work in an agile, collaborative environment to understand requirements, design, code and test innovative applications, and support those applications for our valued customers Automate testing in both on premise and cloud environments Build and manage testing environments, assisting in debugging application issues Contribute to our continuous improvement and continuous delivery while increasing maturity of our agile adoption practices Perform exploratory testing, discover defects/bugs and works with coders to determine root cause and how to prevent similar issues from happening in the future Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Basic knowledge in one or more of the following technology areasGolang, Java, Ruby, Python, JavaScript, Jenkins Basic knowledge/experience in Linux fundamentals and scripting, Basic knowledge of Container technologies, for example, Docker, Kubernetes, Red Hat OpenShift and containerization software Basic understanding of software development Good communication skills Preferred technical and professional experience Basic knowledge of automation tools and testing frameworks Knowledgeable about cloud platforms (IBM Cloud, AWS, Azure, GCP) Experience with CI/CD environments Has contributed to cloud-native open-source projects and can point us to his/her GitHub account

- 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

Review and implement functional business requirements and non-functional technical requirements Research and analyze new technologies to be used (e.g., Libraries, IDE’s, tools) Assist engineering and operational teams in debugging production problems Perform application code review, ensure creation and maintenance of appropriate artifacts for architecture and design work You will primarily focus on building backend REST API services. You will work to implement server-side or application logic and design architectures. Create and talk to REST services. 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. Encourage a self-motivated squad model of working from handling development, test and operations for the micro services. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Should have 3-5 years of experience in Back end services development and Microservices Architecture. Strong background in software development,object-oriented design principles and patterns, with solid knowledge of REST and gRPC Expertise in one or more programming languages such as Golang, Java, Python, or C++ Experience with cloud-based technologies, showcasing familiarity with modern cloud ecosystems and tools – Docker, Kunernetes, OpenShift, REST API development Knowledge / hands-on experience with DevOps tools like Jenkins/Travis/Shell Familiarity with Ubuntu/RHEL/CoreOS Exposure toagile development environments, engineering best practices, including coding standards, code reviews, source control management, build processes, testing, and operations. Demonstrated excellence in problem-solving, with the ability to tackle complex issues and find effective solutions. Proven experience using version control systems such as GitHub. Familiarity with Cloud infrastructure (AWS/Azure/GCP/IBM Cloud), CI/CD & DevOps Familiarity in any Databases like Postgres or any No SQL DB. Experience working in agile development environments. Preferred technical and professional experience n Understanding of cloud storage concepts and experience in cloud storage development. Understanding of Networking concepts Prior experience working with Terraform to manage infrastructure. Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environments. Knowledge of security and compliance standards & requirements

"As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative features, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging. Collaboration is at the heart of what we do, and you'll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations. The role seeks good levels of personal organisation and the ability to work well within a distributed global team in a fast paced and exciting environment. You will be office based, working with senior software engineers who will help you integrate into the team, the department and wider IBM. You will be joining a development squad following Design Thinking and Agile principles where you are expected to collaboratively develop creative solutions. The work can be varied, flexibility to learn new technologies and skills is key as we look look to help grow your career within IBM. A positive attitude and a passion to succeed is essential in joining a high performing software development team at IBM. " 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 or C, C++ and API Development A minimum of 1 year experience in programming with Python Experience with Operating System Concepts (serialization, concurrency, multi-threading) and Data Structures (arrays, pointers, hash buckets) 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 . 5+ years of experience with Cloud/Container skillsFamiliarity with cloud and container technologies, including Docker, Kubernetes, Red Hat OpenShift, etc. Preferred technical and professional experience Knowledge of and/or experience with database design and query optimization Knowledge of and/or experience with optimization problems and the algorithms to solve them, such as dynamic programming 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

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.

Job Summary: We are seeking a highly motivated and experienced sales professional to join our team as a Cloud Services Sales Specialist. The ideal candidate will have a strong background in sales of professional managed services in public cloud platforms such as AWS, Azure, GCP, OCI, etc. This role requires a deep understanding of cloud technologies, excellent sales skills, and the ability to build strong relationships with clients. Job description: Identify and qualify leads for cloud services sales opportunities. Develop and maintain relationships with clients to understand their business needs and propose relevant cloud solutions. Collaborate with technical teams to develop customized proposals and solutions for clients. Drive the sales process from lead generation to closing deals. Meet and exceed sales targets and quotas. Stay updated with industry trends and developments in cloud technologies. Provide feedback to product development teams based on client requirements and market trends. Maintain accurate records of sales activities and customer interactions in CRM software. Sales Skills: Prospect and lead generation. Consultative selling approach. Relationship building and management. Relationship building and management. Sales pipeline management. Customer needs analysis and solution selling. Technical Skills: Knowledge of cloud computing concepts and architectures. Familiarity with public cloud platforms such as AWS, Azure, GCP, OCI, etc. Understanding of cloud services including IaaS, PaaS, and SaaS. Ability to articulate technical solutions to non-technical stake holders. Experience working with CRM software for sales tracking and reporting. Key Qualifications: For consideration, you must bring the following minimum skills and behaviours to our team: 2 to 5years of experience in sales of professional managed services in public cloud environments. Proven track record of exceeding sales targets and quotas. Strong understanding of cloud technologies and services, including AWS, Azure, GCP, OCI, etc. Excellent communication, negotiation, and presentation skills. Ability to work independently and as part of a team in a fast-paced environment. Strong analytical and problem-solving skills. Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified Professional are preferred. Bachelors degree in business administration, Sales, or a related field (MBA is a plus)