1,501 to 1,525 of 3,991 GCP Jobs

sharing. Requirements: Strong backend expertise with Java, Spring Boot, Microservices, Hibernate, and SQL. Proven experience with BPM processes and workflow integration. Knowledge of cloud platforms (AWS/Azure/GCP), CI/CD pipelines, DevOps practices, and API design. Applicants must be eligible to work full-time in Ireland without restriction. Excited about this opportunity? Apply now through the link More ❯

depth knowledge of databases, data-modelling and performance optimisation. Practical experience defining coding standards, CI/CD pipelines and test-automation in Agile product-team environments. Significant AWS/GCP Cloud engineering experience Solid understanding of Agile/SAFe and DevSecOps practices and experience working in cross-functional product teams. Demonstrated ability to mentor engineers and raise technical capability within More ❯

depth knowledge of databases, data-modelling and performance optimisation. Practical experience defining coding standards, CI/CD pipelines and test-automation in Agile product-team environments. Significant AWS/GCP Cloud engineering experience Solid understanding of Agile/SAFe and DevSecOps practices and experience working in cross-functional product teams. Demonstrated ability to mentor engineers and raise technical capability within More ❯

depth knowledge of databases, data-modelling and performance optimisation. Practical experience defining coding standards, CI/CD pipelines and test-automation in Agile product-team environments. Significant AWS/GCP Cloud engineering experience Solid understanding of Agile/SAFe and DevSecOps practices and experience working in cross-functional product teams. Demonstrated ability to mentor engineers and raise technical capability within More ❯

depth knowledge of databases, data-modelling and performance optimisation. Practical experience defining coding standards, CI/CD pipelines and test-automation in Agile product-team environments. Significant AWS/GCP Cloud engineering experience Solid understanding of Agile/SAFe and DevSecOps practices and experience working in cross-functional product teams. Demonstrated ability to mentor engineers and raise technical capability within More ❯

ll be working closely with both clients and internal teams ⭐ Nice to Have Experience with front-end frameworks (React, Angular, or Vue.js) Exposure to cloud platforms (AWS, Azure, or GCP) Prior consultancy or client-facing experience 🎯 What’s in It for You £35,000 – £40,000 salary (DOE) Hybrid working – 3 days on-site Access to a wide range of More ❯

ll be working closely with both clients and internal teams ⭐ Nice to Have Experience with front-end frameworks (React, Angular, or Vue.js) Exposure to cloud platforms (AWS, Azure, or GCP) Prior consultancy or client-facing experience 🎯 What’s in It for You £35,000 – £40,000 salary (DOE) Hybrid working – 3 days on-site Access to a wide range of More ❯

compliance with data privacy and regulatory requirements. Proven experience in data architecture, data modelling, and database design. Strong proficiency in SQL, Python, and cloud data platforms (e.g., Azure, AWS, GCP). Experience of working with aws technologies (Glue, Redshift, S3) Excellent communication and stakeholder management skills. Location & Flexibility: This is a remote-first role , but you’ll need to attend More ❯

ll be working closely with both clients and internal teams Nice to Have Experience with front-end frameworks (React, Angular, or Vue.js) Exposure to cloud platforms (AWS, Azure, or GCP) Prior consultancy or client-facing experience What's in It for You £35,000 - £40,000 salary (DOE) Hybrid working - 3 days on-site Access to a wide range of More ❯

opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and automation solutions both internally and … APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms More ❯

harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. … pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU More ❯

harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. … pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU More ❯

harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. … pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU More ❯

harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. … pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU More ❯

harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. … pipelines. LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‐on with time‐series analysis (forecasting, change‐point, drift). Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points DevOps wizardry; GPU More ❯

Part Business. Part Creative. Part Technology. One hundred per cent digital. At Deloitte Digital, we connect creativity with technology for business. Bringing empathy, ideas, and experience into digital transformation. Together with all of Deloitte, we create connections across the breadth More ❯

PDL. Hands-on experience with SQL , Unix/Linux shell scripting , and data warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS, Azure, GCP) is a plus. Proven ability to troubleshoot complex ETL jobs and resolve performance issues. Experience working with large-scale datasets and enterprise data environments. Experience in the banking, financial services More ❯

learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a More ❯

with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles More ❯

LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles More ❯

with telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

LlamaIndex, AutoGen, CrewAI) Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) Strong foundation in MLOps/LLMOps and Agile delivery Excellent leadership, communication, and stakeholder engagement skills 10+ years' experience in AI/ML, including senior solution architecture or consulting roles More ❯