10 of 10 AWS Jobs in County Down

e.g., Git).Ability to troubleshoot and optimise workloads for performance, cost, and reliability on GCP.Desirable Skills:Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise).Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet).Knowledge of site reliability engineering (SRE) principles ...

monitoring, performance issue diagnosis, and implementing solutions.Experience using CI/CD pipelines and tools (Jenkins, Bitbucket Pipelines, GitHub Actions)Working knowledge of cloud platforms (AWS, GCP, Azure) and their core services.Desirable Skills:Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack ...

SIEM) systems, and vulnerability assessment tools, and their configuration options.Familiarity with cloud security principles and best practices, including securing cloud-based infrastructure and services (AWS, Azure or Google)Experience of DevSecOpsExperience researching technology trends and ways to secure those technologies.Experience with automated deployment techniques and CI/CD pipelines.Experience working ...

stakeholdersAbility to work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in a professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data ...

Deploy and Scale AI SolutionsExecute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible ...

technical stakeholdersAbility to work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in the professional servicesFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management conceptsExperience with data quality tools specifically designed for unstructured data ...

upBackup & RecoverySAP Cloud knowledge BTP, IAS/IAMSAP Cloud ALMOperating system experience (Linux and Windows), filesystems, scriptingCloud Service Providers Skills, AWS - EC2/VPC/S3/EFS, Azure - Compute/Networking/StorageNetworking: understanding of subnets and IP ranges, Routing, Firewall, Network tracingConnect to your business - Technology and TransformationDistinctive ...

services, healthcare, public sector, or similar) is advantageous.Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least … MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation ...

from selecting the right model architectures to ensuring robust CI/CD and MLOps pipelines.Inference & Infrastructure: Deploy and optimise models using cloud services like AWS Bedrock and Azure AI Foundry, or self-host them on GPU/CPU hardware using tools like vLLM, SGLang, and Ollama.Solution Evaluation: Implement frameworks … security best practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring ...

customer service, network planning and assurance, media supply chains and content operations, or software engineering productivity and developer tooling.Strong understanding of major cloud platforms (AWS, Azure or GCP) and their generative AI services, plus the security, data, compliance and operating-model considerations required for enterprise deployment across complex organisations.Exceptional executive … organisational adoption, and to represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading ...