226 to 250 of 3,572 GCP Jobs

Strong knowledge of the Databricks Lakehouse, Delta Lake, ApacheSpark and Unity Catalog Production experience administering Databricks on at least onemajor cloud (AWS, Azure or GCP), including networking, IAM and storage Proficiency with Terraform (ideally the Databricks provider) and Gitbased CI/CD workflows Solid programming skills in Python ...

Are you passionate about building resilient, scalable systems that power the future of AI? At JPMorganChase, we're pushing the boundaries of what's possible with artificial intelligence and machine learning - and we need engineers ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. About our team ...

Scripting and automation skills in PowerShell, YAML, Git, and Python Experience with ServiceNow development and integration Hands-on experience with cloud providers (AWS, Azure, GCP) Familiarity with CI/CD tools (Jenkins, Harness) and containerization (Docker, Kubernetes, Amazon EKS) Knowledge of Agile practices (Scrum, Kanban, LeSS) and ITIL processes Excellent ...

broad set of technologies as we evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset ...

ABOUT SCALE FACTORY We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to ...

We're partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI ...

We are seeking a Senior Platform Engineer to join our team building secure, scalable and highly automated platforms that support the UK's most demanding security and performance challenges. The ideal candidate will have strong ...

Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data‐lead, by equipping them with robust data platforms. You’ll ...

Qualifications & Skills Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions using frameworks like FastAPI. Experience with cloud platforms (GCP, Azure) and cloud-native architectures. Passion for software design and commitment to the development of reusable … scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. Preferred Qualifications & Skills ...

full-stack applications and services using Python, Java, and/or Go. Build and deploy containerized (Docker, Kubernetes) and serverless applications on AWS and GCP, leveraging cloud-native services for compute, data, and messaging. Develop and manage cloud infrastructure using IaC principles and tools such as Terraform and Ansible … Java or Python or Go (one or more required) Strong frontend/UI development experience Experience with AWS and/or Google Cloud Platform (GCP) Desired experience Exposure to Docker and Kubernetes Infrastructure-as-Code: Demonstrable knowledge of IaC tools such as Terraform and/or Ansible. Experience with ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high-quality, well-tested solutions using modern software engineering practices … GitHub, testing, code reviews, documentation and deployment. Experience with integration platforms, automation tools, low-code solutions and cloud technologies. Exposure to Google Cloud Platform (GCP), Azure or Terraform would be beneficial but isn’t essential. A good understanding of GDPR, cyber security, secure development, access management and data protection. ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high‐quality, well‐tested solutions using modern software engineering practices … testing, code reviews, documentation and deployment . Experience with integration platforms, automation tools, low‐code solutions and cloud technologies. Exposure to Google Cloud Platform (GCP), Azure or Terraform would be beneficial but isn’t essential. A good understanding of GDPR, cyber security, secure development, access management and data protection . ...

ecosystems. Our team is responsible for managing our centralized Enterprise Logging Platform (Vector, Datadog, Splunk), engineering robust multi-cloud solutions across AWS and GCP, and driving automated deployment infrastructure via Jenkins and Spinnaker. In this role, you will focus deeply on containerization (Docker), Infrastructure as Code (IaC via Terraform … Cloud Expertise: Strong engineering experience with AWS services (specifically EC2, Load Balancers, and AMI building) along with robust operational familiarity with Google Cloud Platform (GCP). Containerization and Image Automation: Advanced, hands-on experience with Docker containerization and automated configuration management tools (such as Ansible). Observability and Logging Expertise ...

shape how these are adopted at scaleHands-on breadth across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks, with experience deploying and operating integrations in production across these environmentsStrong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures … complex AI architectures, solution options, and recommendations to both technical and non-technical audiencesDeploy, monitor, and optimise integrations across cloud environments including Microsoft, AWS, GCP, and Databricks, establishing operational and reliability standards for the teamDefine and champion integration patterns and protocols, including Model Context Protocol (MCP) and A2A, ensuring seamless ...

cloud‐native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event‐driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud‐native ...

produce and present technical design artifacts aligned to Quantexa architecture. Good working knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Preferred Qualifications: Experience delivering Quantexa in Financial Services, Fraud, AML, or KYC use cases. Familiarity with CI/CD pipelines, DevOps practices, and containerisation ...

driving improvements to the reliability and performance of production systems Commercial experience with Microsoft Azure or another major cloud platform such as AWS or GCP, ideally deploying and managing Linux-based services in the cloud Experience with the following would be beneficial: Microsoft Azure, ArgoCD, Helm, AWS, GCP …/Loki/OpenTelemetry/ELK Stack/GitLab CI/CD/GitHub Actions/Jenkins/ArgoCD/Helm/AWS/GCP/Networking/Observability/Infrastructure as Code/CI/CD/Containerisation/Incident Response/Computer Science/Software Engineering/Cloud ...

delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files, webhooks and event streams; Shape the engineering approach across Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow, Terraform and infrastructure‐as‐code; Set and champion engineering standards for data … Python skills for building reliable, production‐ready data solutions Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google Cloud Platform ecosystem Experience with Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure‐as‐code tooling Understanding ...

data from a wide range of systems across the Viasat estate. This data is shared between internal platforms and distributed through Google Cloud Platform (GCP), where it underpins observability and monitoring capabilities that give operations teams real-time insight into service health and performance. To ensure the data is accurate ...

Databricks based data platform, ensuring reliability, performance and scalability * Design enterprise scale data architectures on Databricks and cloud platforms such as Azure, AWS or GCP * Define lakehouse standards, data modelling approaches and governance frameworks * Lead design of batch and streaming platforms using Delta Lake, Spark and related technologies * Establish security ...

security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile ...

making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application … making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application ...

data governance, data quality, master data management, and regulatory requirements Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP) Strong experience with data warehousing, data lakes, and lakehouse architectures Hands-on experience with SQL and at least one programming language such as Python, Scala ...

data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP).Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala ...