Jobs at Ibm in Ireland

• Provide expert-level product support for IBM customers across the globe
• Troubleshoot, diagnose, and resolve escalated technical issues from customers.
• Perform root cause analysis and implement long-term solutions for recurring issues.
• Develop and maintain technical documentation, processes, and troubleshooting guides.
• Collaborate with multiple Development squads, SRE, and Support Engineer teams to resolve complex technical issues.
• Provide mentoring and training to support engineers (L2).

Act as a subject matter expert for specific technologies or systems related to the product.

Required Professional and Technical Expertise

• Strong experience as a non-spring boot Java developer.
• Experience with troubleshooting software, and network issues.
• Hands on coding experience with Java, NodeJS and Python.
• Proficiency in SQL, Linux, Kubernetes, OpenShift
• Excellent communication skills to interact with stakeholders and report on technical issues clearly.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple tasks simultaneously.

• Demonstrated Java backend coding experience without using Spring Boot.
• Demonstrated excellence in problem-solving, with the ability to tackle complex issues and find effective solutions
• Strong knowledge of Integration technologies, cloud computing, Software Development methodologies
• Knowledge of Agile methodology
• Prior experience in a customer-facing debugging, troubleshooting/etc role.

Key responsibilities:

• Analyze complex issues in a disciplined manner and clearly communicate solutions and workarounds to customers.
• Serve as the primary technical interface, coordinating customers and/or IBM representatives.
• Provide recommendations for improvements to existing technical support tools, procedures, and processes.
• Monitor system health using observability tools (e.g., Prometheus, Grafana, ELK, etc.).
• Manage infrastructure as code using tools like Terraform.
• Collaborate with SRE and Engineering teams e.g. for knowledge transfer of new services/technologies.

*This position is Monday to Friday with flexibility to work an occasional Saturday or Sunday for holiday coverage*

• 3+ years of experience working directly with customers.
• 5+ years of experience with Mongo and PostgreSQL experience (e.g. Database Administrator).
• Database administration skills ( e.g. Backup and recovery strategies, Performance tuning and optimization such as Query optimization and indexing).
• Programming/Scripting experience e.g. Terraform/Ansible.
• Strong knowledge of Linux systems and networking fundamentals.
• Excellent problem-solving, debugging, and troubleshooting skills.
• Effective communication and collaboration.

• Database Certifications e.g. IBM DB2, Oracle.
• Solid experience creating technical documentation.
• Excellent problem-solving skills and ability to manage incidents.

• The IBM Cloud Site Reliability Engineering (SRE) team is working on providing infrastructure and operations solutions to maintain scalable, highly reliable, and highly secure cloud-based software infrastructures to enable our clients to meet their on-demand IT and security needs to disrupt their industries (Financial, Manufacturing, Insurance and more).
• Above all, we are looking for applicants who desire creative freedom and who will thrive in an open, vibrant, flexible, and collaborative environment.

As a Site Reliability Engineer, you will work in an agile, collaborative environment to build, deploy, configure, and maintain systems for the IBM client business. In this role, you will lead the problem resolution process for our clients, from analysis and troubleshooting, to deploying the latest software updates & fixes.

Your primary responsibilities include:

Leverage Continuous Delivery (CI/CD) tools to deploy services and configuration changes at enterprise scale.

Implementing security measures that meet or exceed industry standards for regulations such as GDPR, SOC2, ISO 27001, PCI, HIPAA, and FBA.

This will be a shift rotation position - You will work Sunday to Thursday or Tuesday to Saturday rotation.

• Design, develop, and own different tooling and automation to monitor and improve availability, scalability, latency, and efficiency of highly secure, confidential computing cloud services.
• Deploy and manage infrastructure and services in IBM’s Cloud ecosystem.
• During your workday, as part of a global team using a follow-the-sun model, you will handle both real-time alerts as well as customer reported problems.
• Participate in scrums, sprint planning and retrospectives; Be an active member of the team and provide feedback and improvement ideas.
• Work collaboratively with the extended IBM teams, learn new technologies and apply the skills learned.
• Respond with urgency to incidents, perform root cause analysis, and build a knowledge base to enable sharing with other teams.

• Bachelor's Degree in Computer Science or related field
• Experience using Linux, GitHub, Bash, Python, Node.js, Docker, Kubernetes, and Ansibles
• Experience developing tests and reliable automation for common, repeated tasks
• Demonstrated experience with REST APIs and automation
• Proficient in cloud computing and services, specifically logging and monitoring
• Strong debugging, problem determination, and isolation skill
• Effectively communicate with global, cross functional teams and customers
• Team player who can work collaboratively, innovate, and be a quick learner

Provide guidance and mentor junior developers.

Foster university relations and create content for lectures, tailored to our needs.

Interact with clients, technical sales colleagues, and product management to define development priorities.

Actively support our developer profession certification.

Establish and mentor jump start projects.

Technically host and lead hiring interviews.

Mentor talents.

This position is based in our Waterford location and requires working onsite 3 days per week.

Linux Expertise and recent demonstrated experience with C/C++ low level programming.

Strong technical leadership including demonstrated experience in architecture boards, leadership/executive management interactions to define roadmaps and strategies for entire product stacks.

Broad experience from multiple technical leadership positions.

Strong teaching/educating capabilities for technical contents.

Quick comprehension in new technical areas.

In this role, you’ll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You’ll act as a bridge between data science, software engineering, and product management—driving execution while fostering a collaborative, high-performance culture.

• Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
• Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
• Collaborate with product and design teams to shape intelligent, customer-focused solutions
• Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
• Promote best practices in machine learning engineering, MLOps, and cloud-native software development
• Foster a culture of innovation, ownership, and continuous improvement
• Communicate strategy, progress, and impact to stakeholders across the organization

• Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
• Proven experience delivering AI/ML-powered features in a production environment
• Strong technical foundation in machine learning, data architecture, and software engineering
• Proficiency in programming languages such as Python , Java , or Go , and hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience managing cross-functional teams and collaborating across engineering, data, and product functions
• Excellent communication and organizational skills

• Experience with FinOps , IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
• Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
• Exposure to generative AI or large language models (LLMs) in enterprise applications
• Track record of building high-performing teams and scaling data science efforts in a SaaS environment

Responsibilities:

• Develop, deploy, and manage Kubernetes Operators using the Operator Framework and Operator SDK.
• Implement Ansible-based operators for managing resources and controllers on OpenShift clusters.
• Define control loops (Observe → Analyze → Act) for operators to codify the behavior of Kubernetes resources.
• Translate human operational knowledge into software to manage applications, including installation, upgrades, scaling, backups, restores, and self-health monitoring.
• Contribute to the development of custom resources and custom resource definitions (CRDs) to extend the Kubernetes API.
• Provide Level 3 support by troubleshooting complex issues and resolving them promptly.

• Intermediate professional experience with Kubernetes/OpenShift.
• Knowledge of Kubernetes resources (Pod, ConfigMap, secret, service, route, PersistentVolumeClaim) and controllers (Deployment, ReplicaSet, StatefulSet, DaemonSet).
• Working knowledge of Git repositories and version control.
• Strong problem-solving skills and attention to detail.
• Proficiency in Go programming language for developing operators.

• Experience with Ansible-based operators on OpenShift clusters.
• Familiarity with Helm for packaging and deploying applications on Kubernetes.
• Contributions to open-source projects related to Kubernetes Operators.