Company Description
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally
Job Description
We are seeking an experienced DevOps Architect to lead the design and implementation of a new DevOps & Machine Learning Operations (MLOps) practice using Red Hat OpenShift AI for a key public sector client in Ireland. You will be responsible for creating and introducing the DevOps/MLOps practices that will transform our customers development practices from its current state to a modern, agile, and automated operational model. While extensive experience in DevOps is essential, we are open to candidates who have an interest in MLOps concepts and are eager to develop their skills in this area. Candidate ideally must be able to be on client location as the role required an on-site hybrid presence in Dublin 2-3 days per week.

KEY SKILLS / EXPERIENCE

• Demonstrable experience, supporting multi-cluster OpenShift/Kubernetes environments.
• OpenShift cluster administrative operations, such as scale nodes, upgrades, and granting permissions to users and groups.
• Deep understanding of DevOps principles and lifecycle, with willingness to learn and develop MLOps principles and skills.
• Configure OpenShift namespaces, network policies, resource quotas, and node selectors.
• Observability tooling, with strong experience working with Prometheus, Grafana ELK and related technologies.
• Kubernetes Operators life-cycle management, custom resource configuration and upgrades.
• Route, Ingress, Service and networking troubleshooting on Kubernetes based SDN.
• Experience supporting underlying infrastructure components for TCP/IP networks eg DHCP and DNS services.
• GitOps management for deployments, configuration and state management for clusters.
• CI/CD automation and industry standards for DEVOPS principles.
• Work in agile based environments, with the ability to analyze and report incidents proactively, seeking continuous improvements.
• Kubernetes storage support with file, block, PVC, Object Storage. Knowledge of Ceph, Noobaa, ODF, OpenShift Container Storage or related.

BASIC QUALIFICATIONS:

• BSc in Computer Science or related field.
• 2+ years as a DevOps technical lead / Architect
• 5+ years experience with Linux systems administration and networking
• 5+ years experience supporting Java (or similar) based development teams.
  Additional Information

• Work with the customer to develop a scalable, secure and robust DevOps/MLOps framework to meet the business needs
• Establish and document best practices, standards and governance for the operation a Kubernetes based container platform in a large-scale environment.
• Act as the primary technical authority and evangelist for DevOps/MLOps in the customer organisation, championing a culture of automation, collaboration and continuous improvement.
• Assist the customer develop CI/CD pipelines for Software Development and Machine Learning, ensuring reproducibility, auditability, and traceability
• Supporting multi-stack development teams on each stage of the SDLC.
• Provide technical leadership and mentorship to a small team of DevOps/MLOps Engineers.
• Oversee the work of the engineering team, ensuring architectural integrity and quality standards are met.
• Assist in and developing DevOps/MLOps talent within the organisation
• Supporting automated deployments, release planning and troubleshooting in both non-prod and prod clusters.
• Coordinate Regular patch updates to Kubernetes, base images and node management in a controlled and automated process.
• Assist with Route, Ingress, Service and networking troubleshooting on Kubernetes software defined network.
• Monitoring support and effective service uptime management in a 24 X 7 based environment.
  Qualifications