101 to 125 of 928 GCP Jobs

teams to improve system resilience Enhancing CI/CD pipelines and deployment strategies 🧠 What We’re Looking For Solid background in cloud platforms (AWS, GCP, or Azure) Experience with containerisation (Docker, Kubernetes) Strong scripting or programming skills (Python, Go, or similar) Experience with monitoring tools (Prometheus, Grafana, Datadog, etc.) Knowledge ...

Tester Project & Delivery Frameworks: PRINCE2 Foundation/Practitioner Agile Scrum Master (CSM/PSM) DevOps & Cloud: Azure DevOps Engineer/Azure Fundamentals AWS or GCP Cloud Practitioner Jenkins or GitHub Actions CI/CD certifications Data & Analytics: MySQL Developer/DBA Certification Microsoft SQL/Data Fundamentals Microsoft Power ...

Have Splunk Observability (APM, Infrastructure Monitoring) exposureCI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines)Cloud platforms (AWS/Azure/GCP) log and metric ingestionSplunk certifications (Power User, Admin, ITSI)Experience with automation and scripting (Python, Shell).________________________________________Soft SkillsStrong communication and stakeholder handling skillsAbility to explain ...

Have Splunk Observability (APM, Infrastructure Monitoring) exposureCI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines)Cloud platforms (AWS/Azure/GCP) log and metric ingestionSplunk certifications (Power User, Admin, ITSI)Experience with automation and scripting (Python, Shell).________________________________________Soft SkillsStrong communication and stakeholder handling skillsAbility to explain ...

Have Splunk Observability (APM, Infrastructure Monitoring) exposureCI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines)Cloud platforms (AWS/Azure/GCP) log and metric ingestionSplunk certifications (Power User, Admin, ITSI)Experience with automation and scripting (Python, Shell).________________________________________Soft SkillsStrong communication and stakeholder handling skillsAbility to explain ...

Have Splunk Observability (APM, Infrastructure Monitoring) exposureCI/CD integration for Splunk content (Git, Jenkins, DevOps pipelines)Cloud platforms (AWS/Azure/GCP) log and metric ingestionSplunk certifications (Power User, Admin, ITSI)Experience with automation and scripting (Python, Shell).________________________________________Soft SkillsStrong communication and stakeholder handling skillsAbility to explain ...

models, DevSecOps practices, and continuous delivery pipelines. Deep experience with cloud-native technologies including container orchestration, microservices architecture, and leading platforms (AWS, Azure, or GCP). Track record of aligning engineering execution with architectural roadmaps and enterprise-level priorities. Proven ability to scale engineering maturity through process improvement, tooling enhancement ...

languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi ...

experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi ...

experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi ...

geospatial data formats (e.g., Shapefile, GPKG, GeoJSON, FGDB, GeoTIFF, GeoParquet etc.), coordinate systems, and spatial data standards. Experience with cloud platforms (Azure, AWS, or GCP) for data engineering workloads. Experience using ESRI tools, FME, GDAL/OGR or equivalent technologies. Understanding of spatial indexing, query optimisation, schema design, and data ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

Salesforce Marketing Cloud, Talon.One, Hightouch, LiveRamp. Background in consumer-facing sectors — hospitality, travel, retail, CPG or media. Cloud platform certifications — AWS preferred; Azure or GCP equally welcome. Familiarity with GDPR, consent management and data governance in a marketing context. Exposure to AI/ML use cases applied to customer data ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google Cloud Platform or AWS Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications Familiarity with Neo4J or other graph databases ...

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...