1,301 to 1,325 of 2,457 Google-Cloud-Platform Jobs

minimum of 5 years of experience as an (enterprise or domain) architect Proven track record of driving architectural change A background in engineering in complex environments Cloud experience (GCP) Deep Java knowledge; Kotlin is preferred Deep understanding of API design and best practices Extensive up-to-date knowledge of web-based and cloud-native technologies Experience in security More ❯

engineers in the industry. Tech Stack: ·C#, .NET 9 ·React - open to Typescript & other SPA framework experience (Angular/Vue) ·AWS - open to other cloud experience (Azure/GCP) If you’re an experienced engineer looking for a role where you can make a tangible impact while working with the latest tech, we’d love to hear from you More ❯

minimum of 5 years of experience as an (enterprise or domain) architect Proven track record of driving architectural change A background in engineering in complex environments Cloud experience (GCP) Deep Java knowledge, Kotlin is preferred Deep understanding of API design and best practices Extensive up-to-date knowledge of web based and cloud native technologies Experience in security More ❯

experience in Financial Services. Proven experience leading end-to-end solution architecture initiatives within complex enterprise environments. Deep technical background across modern architecture principles, cloud platforms (AWS, Azure, GCP), and emerging technologies. Strong client and account management capability - able to build trust, influence at senior levels, and drive growth within key accounts. Background in consulting or professional services, balancing More ❯

standards, patterns, visions. Thought leadership/stakeholder engagement Ideally you can demonstrate experience across - TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business More ❯

frameworks (e.g. TOGAF, Zachman or equivalent). Experience across a range of domains such as Application, Data, Integration, IT, OT, Network or Cloud Architecture (Azure/AWS/GCP). Excellent stakeholder management and communication skills. Ability to work independently in fast-paced, client-facing environments. Based in Dublin or willing to work on-site with clients in the More ❯

data scientists to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor More ❯

data scientists to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor More ❯

data scientists to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor More ❯

data scientists to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor More ❯

data scientists to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor More ❯

. Technical Expertise Strong understanding of enterprise security technologies, including firewalls, SIEM/SOAR, IAM, DLP, SASE, Zero Trust, and cloud security. Working knowledge of AWS, Azure, and GCP security services. Broad understanding of networking, virtualisation, and enterprise infrastructure. CISSP, CCSP, or equivalent security qualification. (Preferred) Relevant vendor certifications (Palo Alto, Fortinet, Cisco Security, Microsoft, CrowdStrike, etc.). (Preferred More ❯

Proven success building and scaling enterprise AI/ML platforms . ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity More ❯

Bayesian statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent More ❯

Python and ML ecosystem experience (PyTorch, TensorFlow, Hugging Face, LangChain, etc.) Proven delivery of AI/ML solutions in production environments Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling (MLflow, Vertex AI, etc.) Ability to communicate clearly with both technical and non-technical stakeholders Background in life sciences, healthcare, or regulated industries is a bonus Why More ❯

Bayesian statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent More ❯

provider. Proven track record in selling or shaping data, AI, cloud, or digital transformation solutions. Strong understanding of modern data technologies and cloud ecosystems (Azure, AWS mandatory; GCP desirable). Commercially astute, with the ability to balance client requirements against business priorities and profitability. Excellent communication and presentation skills — confident in engaging with C-level executives and technical More ❯

provider. Proven track record in selling or shaping data, AI, cloud, or digital transformation solutions. Strong understanding of modern data technologies and cloud ecosystems (Azure, AWS mandatory; GCP desirable). Commercially astute, with the ability to balance client requirements against business priorities and profitability. Excellent communication and presentation skills — confident in engaging with C-level executives and technical More ❯

If you are looking to dip your toes into the cloud, this is a great opportunity as they are building software to be agnostic and run across both GCP and AWS. As a Mid Java Developer, you will enjoy endless fantastic benefits: Flexible working from home policy Personal training budget Private health insurance Life assurance Dental & eyecare insurance Bonus More ❯

Next.js and React ecosystem - Familiarity with MongoDB, PostgreSQL, or other databases - Knowledge of RESTful APIs, GraphQL, and WebSockets - Experience with Git, CI/CD pipelines, and cloud platforms (GCP) Nice to Have: - Experience with Docker and container orchestration (e.g., Kubernetes) - Familiarity with testing frameworks (Jest, Mocha, Cypress) - Knowledge of performance optimization and security best practices - Contributions to open-source More ❯

If you are looking to dip your toes into the cloud, this is a great opportunity as they are building software to be agnostic and run across both GCP and AWS. As a Mid Java Developer, you will enjoy endless fantastic benefits: Flexible working from home policy Personal training budget Private health insurance Life assurance Dental & eyecare insurance Bonus More ❯

tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication More ❯

using Python, Ansible, or REST APIs.Familiarity with Cisco DNA Center, ACI, or Juniper Contrail.Knowledge of Zero Trust Network Access (ZTNA) frameworks and Cloud Networking (AWS/Azure/GCP).Excellent troubleshooting, analytical, and communication skills. More ❯

leading capability evaluations preferred. • Excellent communication and stakeholder engagement skills, with the ability to translate technical complexity into actionable insights. • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) and enterprise MLOps environments a plus. • Prior consulting or advisory experience within large organizations is advantageous. More ❯

Design end-to-end GenAI solutions using LLMs, multimodal models, and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate More ❯